 So, welcome everybody to the MIT Media Lab and to the soft launch of the MIT Computational Law Report. It is now officially going to be public and you can come and check it out for yourself at law.mit.edu and I'm joined by, I'm Dazza Greenwood, the producer of the publication, the show, and this is Brian Wilson, our editor-in-chief. And we're joined by our faculty sponsor, Professor Sandy, Sandy Kent Leonard of the Media Lab. And this part of the sponge, we're hoping that you could say a few words, Sandy, about your article that we're publishing in release number one. No, happy to. So, it's a little weird for MIT to be hosting a law report and a program, particularly I guess it makes sense. But the reason is, is that you see the convergence between all the digital tools and the fundamental thing from my perspective is that laws by algorithms. This person does that, that happens, they determine this, they give it to that person, etc. And what's happening is, is the people in those algorithms are now becoming replaced by computers. And, yeah, so for discovery or certain default projects, everything from driving down the highway and having your account downloaded to being able to go to trial with various sorts of evidence has been discovered by some sort of AI, like we can search. And so as this begins to continue, it's really worthwhile thinking about where is it all going to go and how are we going to do it. Because this isn't just about cost, it's also about access to justice. Justice today is extremely expensive and you can make a reasonable argument is that only if you're rich or you get provoked services, do you have access to justice. That seems completely wrong. And of course, it's particularly inadequate. And so we'd like to actually see is this an opportunity to bring much greater access, much greater equity to the legal system. And the primary things from that sort of execution of law, the creation of law, we have a similar sort of problem. So anybody who's thought about reforming the tax code in the US or the medical system realizes that it is this hangable hairball where you can't move anything without having all these unexpected ramifications. And that's a major problem. The idea I have for this is that we have, as the human race, learned to build big, complicated things in the last 15 years. You can look at some of the big logistics chains under the big transportation systems, things like that as situations that are probably just as complicated as the legal system as they deal with the complexes in the world. But they work really well. They're modular so you can update them. They can be qualified as to how well they're working. And it seems to me the law needs to move in that direction. And the principles of that sort of design of complex systems are experimentation. You never assume that you can build things that are just going to work. You try it in the small and evaluate it. It's also something where it's modular. You don't make it one great big hairball. You make it in pieces that can be taken out, put together. Each one of them has to be instrumented. And then the final thing, which people talk about but we never really do in law, is what is it we're trying to achieve? What are the values? What will we consider a good metric or a bad metric? Is it working? Should we replace this module or those modules? Those should be things, in my view, that get specified at the beginning as part of the creation of the system. And they're typically not today. And that's what we're going. So we could answer it was much more inclusive. However, we can't have something that's fully automatic because as we all know, these systems go wrong and sometimes in really terrible ways. So it has to be something which extends the human capability, not replaces the human capability. Inlets have to be in charge, able to look at it. Also, you have to have humans as sort of human sensors because the fact that you wrote down oh, it's more efficient doesn't mean it feels good. And it doesn't mean it's very human. So you have to be able to somehow feed back to the human experience to cause the system to evolve and to judge it. And the process of doing that, of course, is something that we have yet to explore. I think that's beyond the current conversation. But that's where we need to go. Some of the things that we do today, out of my group, begin to work in that direction. For us as many years ago, we designed a large scale autonomous vehicle system for Nissan that was based on some of these principles. And we limited it to level two, where there's always a human capability involved, because of the legal challenges of informed consent, unexpected results, and so forth. And thought that over time, it would eventually evolve. Another thing that we do is build national data systems. So those systems in Senegal and Colombia, as part of our nonprofit spin-offs, and we use the phrase open algorithms, or OPAL systems. An idea there is that the system should be transparent. They should be something where there is governance by all the stakeholders in the society to be able to decide, is this actually doing what it's supposed to do? And where are the control maps to make it better? And so hopefully those are examples that are just too valuable to begin doing, from which we can learn how to do this rather scary, but promising future much better than we do today. Here, here. I don't think we can thank you enough for making room for this to emerge at MIT as a faculty sponsor, and especially for your article, to lay out the vision of what computational law is and what it can be. So, Sandy, thank you. Oh, my pleasure. Thank you guys for living here in this effort, because it certainly wouldn't be possible without you. Here, here. Okay, so now we're going to move on with the show. Okay, Steve Stern, thank you. Thank you. I get a good rate. He often tells me I'm going to be my, I'm going to come up to an A of some variety. And so let's take a quick look at the content, and then we're going to, we're going to fill it out with a practitioner in the field. And would you like to put mine on share? Okay, I'll go ahead and share it with us. Okay, so let's take a look at what we're talking about. We told you that there is a publication, and here it is. Let me just double check with our folks online. Adriana or Catherine, can you see? Yes. Okay, so here we are. So to talk through the written content, I'm going to ask the editor and chief who's really spent a long time with the authors and getting the some content up to stuff, Brian. Wilson, if you could sort of talk us through the articles briefly, and then I'll talk us through the rich media, the podcasts, and the video, and then we'll get right into the presentation. That sounds great. So as I mentioned, I'm Brian Wilson. I'm the editor and chief for this publication. And, you know, I've had the great experience of working with all these authors, Sandy, to kind of like start seeding the field for what computational law might grow into. And so Sandy's article as he touched on kind of looks at the idea of laws and algorithm and humans as a piece of the logic in these algorithms. And so do you want to click in? Okay. And so it does a great job at really framing, you know, these things that Des and I have been working on for a while, these kind of like basic concepts and really gets into like, how would computational law look as a design pattern? And so there are a few, if you keep scrolling, there are a few kind of like guideposts that you can look for. So, you know, you specify the system performance goals, you measure and evaluate criteria that you've kind of set out, you engage in testing, you adapt the system design, you audit the system, and you kind of create this, what you wind up doing is creating this feedback group where laws can quantitatively be evaluated and approved based on the changes to, you know, whatever environment you're in. And so I think that's really exciting. The next article that we have is one that has kind of come together pretty quickly as well from Kat Moon, where she's exploring the changing role of the lawyer in this kind of new computational paradigm. And she's got a great set of graphics, she's working with the Delta Model Lawyer Working Group, and they kind of take the idea of the T-shaped lawyer where you're really deep in one field, and you've kind of got a broad expertise in a bunch of fields, and they look at it as more of a triangle where there are these different competencies that you can have based on these emerging roles in the legal ecosystem. And so, for example, you might have, you know, something that's really deep in the law like you do in the bottom left corner there. You might have something that's more technical and, you know, on that operation side, and that's more in the upper right. You might have something that's where it's really just a person who's in charge of leading. And so, you know, as you see in the bottom right, that has a lot more of those personal effectiveness qualities of relationship management and entrepreneurial kind of mindset and communication. And so, you know, I think this does a good job at showing how kind of adaptive the lawyer needs to be in these new paradigms. And then we have an article by Dan Linna, the future of law and computational technologies, where he does something I think that's really interesting. He frames a lot of these challenges that are faced. Sandy mentioned earlier, you know, not being able to access the legal system very well. So, Dan points out in his article that current estimates are that 80% of impoverished don't have access to legal services, and around 50% of middle class don't have access to adequate legal services. And so, it's looking at the idea that, you know, AI and computation can serve some role in accounting for some of these issues. I mean, you look at things like online stream resolution that can be highly effective at getting kind of like the massive sort of problems that are out there, the very common problems triaged into, you know, just those little packets that absolutely need a lawyer, you know, so the lawyer's no longer doing busy work, they're actually practicing at the top of their license. And then next, we've got an article by John Cliffinger that kind of, I love this article because it kind of starts from scratch. It's like, okay, what if we, you know, what if we were using all this great technology that we have, and we redesigned the legal structure, so like a C Corp or an LLC or something like that. So, what he's done is he's kind of taken these biologic and catalytic design principles and said, okay, what if we could use computational technologies to encode these values that we need to start solving for, so resilience, sustainability, affordability, what if we can actually encode those into a legal structure that people could then be a part of. And if you get down to the graphic at the bottom, he's got kind of like an interesting way to model that as a legal structure. And so you can kind of see here that, you know, you can specify goals and you can start setting up things like smart contracts. You can start using the, these flows of transactions in and out of this kind of RMS LLC he calls it. You can do that in a way that actually empowers the community that it's working for. And so it's tremendous, it really goes deep into what all these processes might look like. And so that's a lot of fun. And then finally, the last article that we have is the automated formation of our entity. So we set up an LLC so that we would have a little bit of flexibility in regards to, you know, taking in money from different groups and kind of handling things that way. And we worked with the Brooklyn law incubation and policy clinic, I think is what the blip stands for. But we worked with the blip clinic and the Brooklyn law incubator and policy clinic. We worked with Jonathan Asken, the founder of legal hackers and his team of students at the Brooklyn law incubator and policy clinic to actually get us set up with kind of like an automated formation of our entity. So it was kind of like a meta reflection on the state of the art in law. So very much eating our own dog food there. And it was delicious. Awesome. That gets right into the rich media. Indeed. And we should capitalize again. And so the rich media, so these things are never finished, they're just done at a certain point with a deadline. So you may expect to see little tweaks and changes to the site over the next few days. And I should probably also mention that we have a kind of a rolling release approach. And so rather than calling this issue one of law review journal, we're calling it a release more like software. And so this is released 1.0. And we had released 0.5, 0.7, I think, and beta launch about a month ago on the next real 1.1 when we add some things and give us a little bit more content in the pipeline. And as we had that read the point of the point release circle. So what are we opening with and release 1.0 for rich media? We have, I'd say what the anchor is, a terrific set of podcasts that we did with Harvard Law School's Case Law Access Project, which you can find out more about at Case.Law, great domain, best of it. So the first podcast is sort of an introduction to what they're doing, and they've basically taken every case, every judicial decision, for instance, from the start of 300, something years. Yeah, like centuries of case law in the United States and scanned it, digitized it, put it in a standard format that's openly accessible. And so this is important. There are some services that you'll get from Westlaw and, you know, Alexis Nexus, which are very greedy and really important for the practice of law and for some other things in there. But at the same time, law is the essence of a public record. And so having a version of it, even the most stripped down version available, we think is important. And we think actually if anything will increase the use cases in the marketplace for ever more premium services and ever better use cases. So we have a little introduction here. The second one goes into some interesting research that has happened on their data. And then the third one is creative hacks and projects. So among other things, you can hear the law saying itself to you on a synthesizer. You can pick a word and look at how the instance of that word is over time. And then we want to challenge you. See, what can you do with this kind of law? An MIT alum and now a Harvard law student and a member of our research group at the Human Dynamics Lab, Andrew Demper, our editorial board, Robert Mahari, is actually working with one of our researchers to explore this data set and to take a look at all of the class actions. So we'll be hearing more about that quickly in a few minutes from Robert who's with us. But you actually can see his research report and discussion with Sandy and our research team from just a few days ago that we videoed here to get an idea of what you might be able to do with this case law. It has an API, it's bulk search, you can search, browse. You can too. Some of the interesting hacks are your automatic limerick maker just to show what you can possibly do with a sentence from various cases. You could try to make a high-couple maker, but more and more practically there's word clouds and other other ways you can look at data and find those deep patterns. We also have a tutorial on one of our favorite open source computational law tools, which is called DocSend. Over the summer I was in Berlin and I saw this great video pop up of something that I had been struggling with for a while, which is getting an environment for DocSend to set up using AWS. And I hopped on Twitter and I saw Sam Parton had posted a video of how exactly to do this in kind of this 20-minute little snapshot on YouTube. And so I immediately reached out to Sam and was like, hey, how can we collaborate so that this can be you and more of us so that we can get the DocAssemble goodness to everybody who's out there. And for those who aren't familiar with DocAssemble, it's probably my favorite tool to use in trying to set up lightweight computational law systems because it's freely available to everybody. It's completely open source. It runs on YAML, which is a markdown language in Python, which is relatively straightforward to use as a programming language. But it has all these great features where you can automatically populate Word documents, PDF documents, you can embed signatures, you can send text messages, you can send email. You can even do faxes. So for a lot of these systems that haven't been adopted, like using an API or something, this is kind of like the gateway drug into the computational ecosystem. And so I was really happy to work with Sam to kind of put out this list of instructions. And you'll notice that there are links next to each step in the process that will take you to that exact point in the video. And so if you ever get lost or even you want to start and sap and, you know, go cook some food while everything's running, and you forget to press pause, you can go right there, click on the button, and there you are. Just parachute right to the right point. And especially for those of you that maybe aren't familiar with how to set up software, when I was learning, I would have to go back and do the same step again and again. So we think the link, the deep links into Sam's video tutorial and the kind of drill that step-by-step instruction will be all going to be helpful. We want you to give us your feedback. Try to set up documents on board yourself and see how it goes. We also, in line with part of what Sandy was talking about with the automation and even autonomous systems in the law, had a panel discussion in which was part of the Harvard Law School 2019 legal text symposium. And this particular panel was on tort liability for autonomous systems. And I've chaired that or moderated that panel yet. So, Primavera, Primavera is a polyp from Harvard and Brian Casey from Stanford Law School, Brian's Ambit for Researches Autonomous Vehicles at each level of autonomy. And Primavera is really into decentralized autonomous organizations. And so for those two examples, the board knows there's a lot of other autonomous systems, autonomous factory automation, there's autonomous weapons systems. There's a lot of different data points there. We took two that we thought were pretty easy to understand and just playing through who would be responsible, how we can allocate responsibility for harm that they may cause. And that helped us to unveil some of the legal design requirements, if you will, and then to make sure that they're engineered in the system. That's very much in tune with our approach here, engineering the law delivery, so that it works by design. So as a result of that, Steve Tenden, who's in our broader computational community, made an interesting post to LinkedIn where we showed the video and he thought it was a great video. But it's sort of missing a few things, like what happens when, here we go, here he's exposed, when AI and dows have babies, what are the elements of self-sufficiency itself? Is it just an automated entity or does it need to make its own decisions or the role of humans? And he asked five quick questions. We thought they were so good. We did a podcast with them to basically have commentary on this panel and make it a little bit more accessible for people that are watching. So here's the podcast. So that's what's there. We're going to keep adding the autonomous legal entity. And then one thing that's cool there, I think as well, is that with the automated legal entities piece that Steve added, I'm working with him and Max Canado and a few other people who are based out of Malta to actually produce a written article that touches on a lot of the same issues that the podcast touches on, and that's hopefully coming out here. If not in the next few weeks, at least in the next release, where it's looking at what regulatory approaches you might take in order to start solving for some of these complex issues. And you can get a sneak peek of what's emerging in Malta too, in that article. But the next thing we have of note is the next interview with another MIT Connection Science Fellow, now a group. And she's very creative. She's an economist. And so on this podcast, we took a deeper look at the connection between computational law and markets and firms, like even the theory of a firm. And it's adjacent opportunities and use cases. It's a very creative, interesting conversation, sort of almost a Davos approach to computational law. Disappearance really well with John Clifton's article. We actually touched on it a little bit in the podcast. But some of the ways that these different entities can interact within the concept, within the broader market environment, start to get really interesting when these entities are programmed. And so last up, so there's actually several more podcasts in the hopper. I will tease you on those. We'll send an email out if you sign up on the site, so you can see them as they come out. But the next one that we're releasing today is what we're calling legal primitives. We are legal primitives in this sense. But this is pretty much actually in the cryptographic sense. So some of you may have heard of cryptographic primitives. There's some people in the room nodding their heads. They would be like examples of a cryptographic primitive. I think these are basically fundamental lowest level building blocks of cryptography that you could, that are well understood and that have been well tested. They're very reliable, very reusable. And so digital signature is one of those. The idea of public-private key encryption is one. There's a few other basic functions. And so to raise the question, what might in the field, the emerging field of computational law, what might the primitives of law be when it's computational? When you delve into that with Drew Henkes, one thing might be that you'd notice, like this is something that comes up in many different legal instruments and processes, is there a way to encapsulate that? Like what is valid legal notice on a network system? Of course, the concept of legal entity came up and jurisdiction came up. A number of interesting things came up. We threw a lot out there and we discussed it. And part two of this will be coming up soon with our friend Christian Smith, who is much more steeped in cryptosystems and he's got his own ideas about what should or shouldn't be, just from an engineering perspective, considered primitive and where the fifth could be reconputational law. So that one's a little bit more speculative, I'd say, but we think it's also terribly important. So we have a place for reproducible software and data projects. And so this will be filled out more and more over the coming days and weeks and months, the years and decades. And right now, we've got a challenge for this concept of an automated and autonomous legal entity. There's a lot of roots around the world that are working on this, blockchain groups like open law, which is a consensus vote that has a allow, a dow for LLCs. And in the use cases and investment vehicle, that Aragon is another interesting group and working with the people there that are looking to create an autonomous publishing entity, where all the work flows and approval chains operate and pumps the book that's out on these open source espresso printers. There's the Dorg, people have collaborated with Brooklyn, and that's another LLC form that's formed under the Vermont Blockchain-based LLC law, the LLC law. And it's trying to, there's several others. So this challenge is to those communities of people that haven't yet created an automated or autonomous legal entity to create some, we have some basic criteria to submit them. And then for the next release, we'll review them and maybe give a little price to the one or the ones that really, we think make the most sense and help propagate for others to use. So some of the other data sets that we're going to have are just like to add one bit to that. I think it would be really interesting to see if you know, you can start combining some of these things internally so that you might use the DACA symbol tutorial videos as a way to start figuring out how to automate a legal entity. And that's something I've taken on a little bit as a side project of my own, but it would be really cool to see, you know, we are close interact with one another here. We also have, it looks like it's not like this moment, but we've got a concept finder is what we're calling it right now. It's basically, we've got hundreds of references to articles and book chapters and open source projects and technical specifications related to computational law. And so we're putting those into a simple data base and making those available. So you can, you can do some searches and show me all the ones related to contracts and then we'll get a little bit of filter. Let's try it here. Contracts. Oh, here we go. So we've got 36 related to contracts and as soon as the link will bring you right to it, we'll be building this out over time. The categories right now are really, all of the sub, these are all sub categories of this emerging field of computational law. I'd say so it is people write more articles and contribute to the field. We're going to try to keep up and ask you to help us keep up by just submitting it through a simple web form so we can have easier records. One little sub part of this project, which I just want to touch on quickly before we move forward is it is the idea of tags. So we've got some collaborators at the Stanford blockchain on policy journal. The MIT Crypto Economic Systems Journal. There's a Harvard blog. There's a UC Berkeley publication. There's a few newer publications that are in the area of, what are another area of computational law that convene the managing editors or the editors in chief of all of those publications to ask the question, would you be up for using a tag set that is common among our publications so that when you submit, basically we'll tag our podcasts and articles and other resources, you know, as we see fit with the computational contracts or legal entities or some legal process or technology or maybe use case area. They'll use same tags. They can add whatever tags they think are appropriate. They'll have somewhat different but interestingly overlapping tags. And then when you click a tag that has some materials with any of our journals, it'll link you right to that. So we're calling that the tag alliance as a way to do field building and community formation in this area and to catalyze idea. That's what we think is most important about that. So you can expect to see that soon. Yeah, tagsonomy was removed now. Yeah, nothing's binding with that. So all right, so let's let's move forward now. And we have with us a person from Baker Haas-Bentler. And I should add quickly that one of our advisory board members is Bob Pratt, the CIO of Baker Haas-Bentler. He's really been a thought leader in this area of computational law and transforming the logic technology. And he's really kind of put his money where his mouth is with creating something, helping create something called Incubaker. And Catherine Lowry, who heads that up, is with us now to tell us a little bit about what Incubaker is and how it represents the application in a sense of computational law. And we think it will really transform the field from a very sizable firm. So Catherine, are you online? Can you hear us? I am. Thank you very much. I should first say congratulations to you, Dazza, Brian, Sandy, and all the advisors for the launch of the MIT Computational Law Report. I think it's super exciting development. And we look forward to the collaboration and participating in it. Today, I'm going to talk a little bit more about Incubaker. And most importantly, I think the team that's dedicated to the service of providing legal R&D in a major law firm. We originated Incubaker back in 2015, but we formalized it and created a dedicated team in 2018. So we're going to talk a little bit more about that and our people coming up. But our focus really is across the team is to provide research experimentation, really looking at how we think we can change areas of the practice of law. So we're looking at that from multiple different angles. We're working with clients. We're working internally to achieve that. But most important, I would say, is the team that's dedicated to it. Being able to construct a team along with Bob Craig and create this level of R&D where we're really out there creating some great stuff of things that are successful, things that aren't, is really the name of the game here. The screen that I have up now gives you a highlight into the people that represent Incubaker. We have a dedicated team of 10 right now. We're looking to grow that. But I specifically segmented this slide so that I could share with you what we mean by legal engineer and then how closely that works with our technical team. So on the left side of the screen, you'll see legal process engineer. You'll see a legal innovation designer. Those are offshoots of a legal engineer, which we think has and requires legal knowledge, subject matter expertise, if you will, and combining that with technology and being able to translate from the business to our technical team what we're trying to achieve. We need this amount of time and dedication in order to solve some of these more complex problems. The legal process engineer and the reason there's different flavors is because there's different focus. The legal process engineer is to help examine process, technology, and the law. There is more of a focus in this role to focus on intelligent automation and AI. The legal innovation designer, another form of legal engineer, as I was saying, is more associated with transformational technology and identifying new lines of revenue or identifying how technology can change business models. Almost everyone on this list are a KM analyst and a research analyst, which by the way is very critical for us to just do the heavy lifting of research and analysis and understanding the landscape of technology. Everyone on the left side has a JD. Some are barred, some are not, but they are steeped in understanding the law and being able to work with the business, like I said, to work with everybody on the right, which are very, very focused on technology from our senior manager of data science and digital innovation to a blockchain developer that helps us everywhere from hosting nodes as we're a steward of sovereign and being able to help us with developments both on Ethereum and Hyperledger Fabric, all the way to helping us with contract authoring, and we'll talk a little bit about some of the developments there in a minute. But it really is important that I think for us to share today just kind of what kind of team it takes for us to be able to achieve some of these concerted efforts, and hopefully that's enlightening to you. I will tell you that some of the team's successes has come in the way, in the form of computational contracts, and oftentimes we talk about smart contracts. I usually try to insert here smart legal contracts, because the smart contracts we know of are more or less coded this than this. We really are focused on taking that a step further and making sure that these contracts are legally binding. Just trying to emphasize that those are some of the nuances this team thinks about. We're taking those legal engineers, we're working with the business, we're trying to teach them what is a smart legal contract. It is the combination of the substantive work that we do in binding two parties together and traditionally seeing that in a Word document as it gets digitized, but then it's taking it again a step further and being able to use a programmable language to code that contract, and the combination of it is a natural language contract combined for humans being able to read that as well as machine readable. So I know that's a lot about what you're trying to share in the computational law report. This is really near and dear to us. We recently, in August, I believe, or thereabouts in the late end of the summer, released our smart legal contract development for creating a functional smart contract prototype for the freight transportation industry. What this means is we are helping our clients identify issues that they were having reconciling the cost of fuel charges across two parties and over time having to reconcile those, the very nature of the contract that they signed had calculations in it that allowed us to be able to help effectuate that the post-signature performance of those reconciling calculations of cost of fuel and by location and so on and over time that we think is going to allow us to really help our clients with things like increasing automation, improving trust and transparency between our clients and the parties that they are forming these contracts with, and overall just simplification of the process. So that operational understanding what's happening in the business, our legal engineers are part of, our legal engineers are also equally a part of working with our attorneys on how we negotiate these contracts, what the contracts look like in form and function and how can we take that a step further and apply that more computationally. That's awesome. I thought I would just, thank you Ryan, I thought I would just end by saying you know the legal engineers don't stop there, the part of the team and collected both from the tech side and the engineer side, we're really looking at you know what's on the horizon and really trying to look out in front of us. I put together a quick slide just to kind of emulate here are the major topics that we're concerned with, smart legal contracts we've already talked about, but I would tell you on the forefront of the horizon what we see the most of and what we're analyzing are applications that are applying to legal that apply machine learning, that's probably number one for us. We also are trying to apply intelligent automation across the firm for process efficiency and working with our clients to do that. Data analytics, natural language processing, equally as important there, starting to see applications that are now hitting legal that use a combination of many of these that we're looking at and I added a last one that's practical blockchain. I didn't come up with that, but Gartner is now starting to call practical blockchain as a means to focus on how blockchain can leverage, be leveraged in practical enterprise use cases, which is very important to us because that is what's equally important to our clients is how to operationally optimize and so we think we can be a part of that. I will say that last but not least, this is just a little bit of a view into our classification and analysis of that landscape. The emerging tech dashboard at Incubaker we monitor over about 400 different applications on a daily basis. What are they, what are the tools, what are the, how do we classify those, how does this fit into the legal environment and how can this help our attorneys practice, how can it help our law department's practice and create a closer relationship. The legal engineer's substantive expertise really is very, very important in making these distinctions and again helping us with those R&D projects. So I hope that is helpful and kind of giving you insight into our world. We look forward to collaborating with you in the future. Very helpful, thanks so much Catherine. Could I ask you to say just a couple more words on what exactly is a legal engineer and like how are you looking at that? MIT is very much an engineering school and we hope to use engineering principles as part of the work for computational law. I know that you use this as a job designation or job title. What is it from a from a Baker Posthetler perspective like that? How would you describe this idea of a legal engineer? So it's so intoxicatingly interesting. Well we'd like to think so as well and you know I would be the first to say there's so many different definitions of what a legal engineer is and and how you can use them. To us it's a dedicated role for a distinct purpose of working with our legal services teams, our attorneys and being able to absorb legal knowledge and combine it with the technology advancements. Now with that I'll give you a little deeper idea. A lot of this has to do with process optimization optimization excuse me and really trying to make sure that we understand and can almost deconstruct how an attorney operates today and then being able to identify where we have some opportunities to either apply computational law for example, either apply automation for you know process efficiency but it is that deconstruction that I think is so important and not every attorney is built for this but those that come to us that have this ability to understand not only what their attorneys are talking about but deconstructed in a way that gives us a vision into what the problem actually is is what I kind of I constitute as a legal engineer. So you know from multiple different angles though you know I think there's different flavors as I was saying before some engineers are going to be much more focused on process and mapping out discrete activities to really kind of deconstruct it others may be really focused on what's the business model how will that help us drive revenue how will it help our clients optimize that you know process inside of their organization so I think there's different lenses that you can look at but I think it's really that combination of substantive expertise being able to understand process and then being able to translate that over to the other side for us that's the technical side if I asked one of our technical team members to you know go forward and creating a contract and you know doing that they're probably going to miss certain triggers or areas that are particularly important for us that may elevate risk so we need that level of subject matter expertise and so to me that's what it means. Yeah and I think that I think that gets exactly into one of the articles kind of this trying to highlight the the the delta model lawyer kind of model where it's not just you know now the skill set that ego professionals can draw from that's expanding you know and these different roles these more nuanced roles will have a little bit of you know one flavor a little bit of another flavor you can sign up kind of start to put together these recipes where you're getting a legal process engineer you're getting a data science and blockchain developer you know you can start kind of like understanding what these new competencies are to drive new types of synergies and I think that's like it's just a really exciting opportunity here. Well I want to thank you very much for sharing with us a look from the frontier of your very computational law is being applied now a practice pattern and just as a little favor for you just pass back our affectionate and grateful thanks to Bob Craig for being on our board of advisors and helping to stare us. Absolutely we'll do that thank you so much everyone. Thanks. Okay so next up one more glimpse from the frontier and then we're going to regroup and look at our key initiative for the year in terms of using data to combat modern slavery but that's a little tease for the next segment but first up another member of our team and a where's that ring and a double major for MIT who's now a Harvard Law student kind of live in the dream of the the philosopher king and the computational lawyer tomorrow Robert Mahary who has gotten the spirit of things and actually taken this CAT data case law access project data and trying to do something with it with one of the researchers in our human dynamics lab Robert you introduce yourself and tell us what have you done. Absolutely so thank you for the very generous introduction. I kind of launch into it with a little bit of a preamble which is that as we try and reconceive of the law and the algorithm it also forces us to reinvent and reconceive how we think about people data and in many ways access to data and access to law is a prerequisite for access to justice and a prerequisite for a lot of the work that people in this community are interested in and so what the case law access project does it makes available as you guys mentioned us 360 years of US case law 6.7 million unique cases and it gives us access to these cases in a way that is much easier for researchers to handle especially when you're looking at them all months and not as a one-off the way we've usually historically thought about so concretely what I've been doing together with Sandra Lear on one of the researchers I think the dynamics group is trying to think about how we can understand class actual options federal class actual options and the financial dynamics and various other dynamics that underpin them by extracting data from pieces. What we've done is we've built tools machine learning tools that help us extract information about all federal class actions so we've identified what we think is a set of all federal class action lawsuits we're starting to pull data out of them that ranges from something relatively trivial like the name of the judge to things that are harder to find like the amount of settlement or whether a case was granted or denied and so we're using things like sentence analysis and all sorts of other cool tools that are out there and try to apply these a lot and the cool thing here and the exciting thing about the case law access project is one I think that as this movement we want to call it movement goes viral we're going to see a lot more of these in a sense and we're going to figure out how we can interrogate them and get information out of them and answer legal questions in new ways and two because this is also new and so fresh there's an endless number of questions you could be asking and an endless number of tools to be applying so I encourage you to get your hands dirty it's relatively trivial to get research access if you're fully into the university and this is really a fantastic data set and answer some legal questions so thank you both for grabbing me and thank you both for all your incredible work. Awesome and so I encourage you to take a look in our first release at Robert's presentation to our research group last Wednesday where he digs in about slide by slide kind of you know dimension of the data by dimension of data use case by use case and insight by insight there's a what you can reveal about this type of important litigation you know that deals with the large populations of people and holds the potential to be one of the ways that society can balance you know as there's new technologies and implications you know emerge and and and and think about the questions that you could pose to the data in the sense like what could you ask or what could you learn from the data that would help us to optimize the system so I think your your research is now in the exploratory phase I think it's safe to say and you are receptive to good ideas please so take a look at the full presentation on our site in the rich media section and um ideas bring them and uh let's um let's hack a lot together so thanks so much Robert great thanks yeah okay and so now we're going to do a quick um kind of disco turn around and get into um our there's nothing more important um and all the things that we're doing are just field building computational law to look for a client to combat modern slavery and human trafficking and so uh we've got a task force and we're going to convene right now to learn more about that so um stand by for about 45 seconds while we re-combobulate ourselves so fast Adriana can you hear me yes I can can you hear me uh the okay one second please I'm going to take a bunch and close to me sweet camera two um so uh to be started um showing that um also a member of our advisory um board um could could you would you be so kind as to uh there we go uh as to introduce yourself and and um you're going to send to the second where we're going to take a look at the task force that we've sent up at the computational law report on this topic so I'm going to take it away absolutely so this actually started um when Des and I were at IltaCon a couple months ago and we had this conversation on that discussed data and different data points and one of the things that I know was heartbreaking both you and I is the issue of modern-day slavery but also human trafficking and as we started to dig into it a little bit deeper um it was fascinating to think of all the different opportunities we have between the people that you know that kind of we know so um for those of you who don't know me my name is Shona Hoffman and I'm with IBM I co-leader of cognitive legal practice and we're global practice that works all over the world so I'm seeing especially on my travels um to various different countries I do see many things that um you know gosh we'd love to put our data hats on and it's hard to do that some of these things that are uh definitely devastating the world so um we do believe in especially in 2020 that one of the important items that we can do is to make a huge difference for people who are caught in human trafficking and so I have a few people here with me today I'd love to have them introduce themselves to my right is Tomas. Sure that's Tomas Lars I'm the founder and the president of United Abolitionists based in Winter Park Florida which is in Central Florida and it's great to be here. Thank you. I'm Brian Ellison I'm the head of Thompson Reuters Labs Americas and I'm very excited to be part of this effort. I am with Brethren with Venus I am a senior judge with the state of Florida and a board member of the United Abolitionist. Very much Adriana. We did Adriana who's joining us from France and Adriana and I met in Greece right after Des and I had this discussion so it was just fortuitous that all of us got together on and uh I'll let you talk about the future of society and things that you've been doing to really um condense some of the social issues globally. Thank you very much for the introduction. Hello everyone hello from Paris. My name is Adriana and I'm an AI policy researcher and project manager at the Future Society at Think and Do Tank with the mission of helping create the global ethical governance of artificial intelligence. Thank you. Thank you. Well and I thought that it was kind of fun I was chatting back when Bob was speaking I was chatting to Adriana I said did you see I just put the word trafficking in and as we looked at cases in your urban cases look at the increase in cases just over the past few decades and so this is that this is an increasing problem but there's also more transparency than we've ever had before. You know we do believe that this is definitely a data issue and something that we as legal and technologists can come together to first off gather all the data but then start to see what patterns we see. So tell us what are some of the things that you've been seeing that maybe some of the patterns that I know you're you're right in the forefront of the day-to-day so actually I think maybe helpful for those who are listening to hear a little bit more about the real-life stories. Absolutely. Please. So I've been almost for 16 years now an advocate for survivors of human trafficking but more and more domestic sex trafficking labor trafficking domestic server too and also a male female or many that have identified as LGBT especially the transgender community and so really unfortunately there has been less and because of the political atmosphere and the really the broken immigration policies more of the more and more victims are not coming forward than they were many years ago. We're seeing less of those cases although we know that there has probably been an increase just based on survivors that have come forth confidentially whether they've been sex or they've been mainly labor in that field and so our concern is that we're not really getting the the numbers are correct whether you're working with the federal state or local level and that's something that's why we're here is to see how we work together together that data. Yeah so I think one of the big issues we were talking about earlier is the data itself needing to be able to tell the story so we believe that there's not enough of the data being aggravated correctly and they're not seeing the pattern so that the states can come around and actually put together the right programs. You know just Martinez you were talking a little bit about how it took about 15 years for domestic violence changes and maybe we're seeing the same thing here. Right and by the way domestic violence and modern day slavery come in the camp but it was about 15 years to change the mentality of well that's something between two individuals in their relationship to understanding that it is a societal crime. It is not good and so it took about 15 years for legislatures to start understanding that and start instituting the laws to protect the humans trafficking and to call it what it is. And with modern day slavery and human trafficking we expect to see about that same type of route and we were talking before and I think we're about maybe about year four or five with regards to the public becoming aware that's a good issue but yet we miss that data. We don't have that data but let people know that this is not the situation where you have a 15 year old girl being supported from South America and being sexually exploited. What we're seeing is basically modern day slavery and human trafficking related to our neighbors. It's spreading our backyard and yet in order to be able to start changing that mentality like domestic violence we need that data to start showing members of the United States that this is not something from another country. This is domestic. And I encourage you I believe that's coming from as well that the technology that's social media that's increased the apps of more and more of traffickers of those that are we say the customers the buyers the johns are now using technology and so for evil. And so how can we come together to use technology to combat this great heinous crime because we know that our it's going to increase right when the digital age and so I really I feel like we need to catch up with human traffickers are using right technology how can we combat technology. Absolutely well and that's actually a really very good point and I think that one of the key things that right now we have a group of people in the dark world with a group of I mean my gosh we have they're very advanced now those people who are watching today and as I've already in the room we are tremendously advanced if we were to all come together to combat this problem we can take these guys and gals down so that we don't have these issues moving forward we can decrease this line going up and the number that I saw was about two percent of cases I mean I'm just mortified by that Adriana I think that's great statistics for us to share this is what we have collected so far but we need your help to continue to grow this we need your brains even though you may not know much about human trafficking what we need is you know is groups to come together and to start looking at these problems Adriana. Thank you very much so I will have a short presentation with some information that we have collected I will share my screen represented and before I'm getting into the task that I'm not sure if you could see my screen. I see a big picture of my face but what I would like to start with is to start by trying to give a definition to the problem of modern slavery and when we think about slavery we tend to go back to the convention of 1926 to suppress slavery and slavery retreat and in this slavery is defined as a condition of a person over whom any or all of the powers attached to the right of ownership are being exercised but when we try to look for legal definitions of modern slavery we realize that modern slavery is not yet defined by law but in fact it's an umbrella that incorporates commonalities across different legal concepts and essentially what modern slavery is is any situation of exploitation in which the person cannot refuse to leave because it is abused through violence and coercion so when we try to look across the world and understand different forms of those legal concepts that can be encapsulated under this definition we realize that in fact modern slavery can take many forms and in the global north as perfectly we hear today we are more inclined to think that it only takes the form of human trafficking which means this idea of people being transported or recruitment this idea of movement of people from one place to another for being exploited through coercion or for violence but as correctly was just presented today slavery can take place in in the place of birth or just next door so there are also cases for instance of decent based slavery where people are just being born in slavery because their ancestors could not pay the debts or they already captured into slavery and they pass this slavery on to the next generation we also have depth bondage where people borrow money because normally that people that face the risk of being enslaved are people under high risk of slavery so let's say there are cases when extreme poverty families under extreme poverty have one of their children being sick and then the perpetrators come and say look we can give you the money you need now to pay for your children but you are going to come and watch for me for the next six months or for the next season well what's happening is people say yes of course i will come i will pay back my debts but what indeed is happening is that they will get trapped into this new condition of work that will never allow them to exit and they're being going to be used and exploited um at the free will of the perpetrator which normally happens for the rest of their life and then we have forced labor where people are forced to provide services and the threat and forced marriages falls into this definition as well what especially young women fall um to be uh sold or just given into marriages without their consent and finally the worst form of modern slavery is child slavery which is even beyond the worthness of child labor which already possesses many challenges for children development because in fact here children are being exploited for the gains of other people so this can be trafficking for sexual exploitation child soldiers marriages or domestic slavery and to this form you can add force begging or organs but what this i'm trying to show here is the amplitude of different forms that slavery can take nowadays across the globe and now it comes to the number how big of the problem are we actually facing of course slavery is a very is a under um a crime that is covered is very hard to be approximated um but uh the latest estimates show us that we have around 40.3 million people in slavery today out of which 15.4 are in forced marriages um this leaves us with an overwhelming 24.9 million people into forced labor out of which four are imposed by states um so this is in high authoritarian states but we also have 4.8 million people into sexual exploitation nowadays out of which 99 percent are women but what we see is that this leaves us with 16 million people that work into the private sector sure some of them in domestic work but most of the others in agriculture fishing mining and the products and services that they are produced end up in the global supply chain and then end up on the clothes that we are wearing or on the food that we're eating so slavery is connected with us even if it seems a remote issue that happens down south or not uh connected to our day to day life but if we really want to step back and look at these uh statistics from a different angle we can also see that women are the most affected by this crime when we include all the forms of modern slavery they represent over 75 percent of the victims but if we exclude forced marriages for instance we still are left with 58 percent of the victim being women but most importantly one in each of um in four victims is a child so I hope this illustrates the magnitude of the problem that we are facing today when we talk about modern slavery so we have to turn to the international community and say okay what is the framework that we have there that can help us create the communication platform to start uh eradicating so when we look at the agenda the sustainable development agenda we see that there is not a sustainable development goal directly addressing modern slavery but we have a target the target 8.7 and this target said and I code to take immediate and effective measure to eradicate forced labor and modern slavery and human trafficking and secure the prohibition elimination of the worst role of child labor including recruitment use of child soldier and by 2025 and child labor in all its form so what does it mean is that we have five years to eliminate all forms of child labor and less than 10 years to eliminate all the types of modern slavery that I was just describing so we really think because evidence is showing we are really lacking behind to meeting this target we really think it's time to innovate and it's time to look at a very interdisciplinary and multi-stakeholder approach to this issue so this is the mission and the contribution that we are hoping to show to you today and to convince you to to collaborate is to bring together the international community the modern slavery experts technology and innovation with the globe with the sole purpose to have a rapid development of solutions to eradicate modern slavery and to do so we believe that a global hackathon will provide the best opportunity to to create this space of collaboration between the stakeholders so we are hoping that in December 2nd 2020 at the same date with the international day for the abolition of slavery so almost a year from now to hold an international hackathon where all the people the organizations the institutions that have expertise data and resources that they would like to bring to this course could come together and they put their minds and their resources together to start a thinking of innovative projects that can help us accelerate their eradication of modern slavery we did the quick search there are over 300 NGOs and companies working for different types of slavery across the globe we really think we have now an opportunity to connect them and to give them a platform to collaborate of course there have been some hackathons organized already most most of them in the last two years predominantly based in North America and South America and one in Europe and mainly targeting human trafficking and child safety but we believe that with this global hackathon we can provide an opportunity and a fair chance for all the victims in all types of slavery to be addressed through technology so our action plan the way we will envision doing so is to start by having a call for action and support and data a design thinking workshop where we evaluate the process then start with a prototype and a data creation process hold the hackathon and write the paper where we collect the information and guide future implementation of metals and solutions so practically the way we envision the time frame and the roadmap of this is now in December to start addressing and commends the call for action which was going to take place for the entire duration of the year but in February to meet here in Paris to have the design thinking workshop where we evaluate the initial response the initial donation and data and that would allow us to see the feasibility of a of in the scope of the hackathon after that we have two months to prepare for our initial hackathon the prototype that will take place in Florida and with this lesson learns and with data that we can collect over time we will prepare the hackathon that will take place in December 2nd 2020 hopefully around the same time with the UN event related to modern slavery and then spend the last two months on writing the paper so with no further ado I would like to give the floor back to Shona to go a bit more in depth into this first step of the ask for support and data and then to my colleagues of give a bit more in depth more depth to this presentation with their very fruitful careers and expertise that they've been collecting thank you thank you so much Adriana you know thank you okay thank you Adriana and I've always amazed with those statistics sometimes it just seeks into my soul to really think about one in four children um you know as a mom that just kills me and I can't imagine I know um Brian you have a lot of human you've been your companies do a lot in this space and you personally have been too yeah so I mean so Thompson winners has been very involved in human trafficking for quite a while so um we sponsored journalists all over the world reporting on this issue um my lab in particular has been very focused on labor trafficking so um it's been illegal you know in the U.S. since the 1930s to import foods made with slave labor but um you know until recently those laws have not been um really enforced and uh a good development is legally around the world there are now legal frameworks spring up like the UK Modern Slavery Act and the Australian Modern Slavery Act the Dutch have recently passed this incredible um Child Labor due diligence act that says you have to not only say I'm not aware of any child labor in things I'm reporting but I can certify that there is no child labor in behind anything that I'm reporting so the world is really catching up to these frameworks but people need tools to comply with that so we for example we did a proof of concept a few years ago where we took all the data that we can get our hands on at TR which is lots and lots of data and uh evaluated three and a half million companies for their risk of forced labor using you know legal pleadings financial data financial crime records the news you know so we have the Reuters news agency and so on so everything that we had scored three and a half million companies we found that only one tenth of one percent of those companies had any historical data linking them to forced labor so but we know that you know the problem is much more extensive than that in global trade you know the where the global trade system has you know adopted the internet and now you know all these sorts of invoices and everything is done electronically through computers um with the advent of you know emerging standards on top of blockchain like verifiable credentials and decentralized identifiers and so on we're beginning to see that there is the possibility of making all of this stuff uh in supply chains to be able to evaluate supply chains for forced labor making all of this stuff computationally tractable but in ways that preserve companies privacy and their trade secrets about who they're getting their supplies from and what prices they're paying so I think people won't develop divulge that you know for a good reason but in order to track all this stuff we need some some way to to uh all of these supply chains all the way down to raw materials so I think you know this global hackathon doesn't necessarily have to focus on this particular train of thought but I mean I think this is one fruitful area in which we're at a point where we can actually make good progress addressing the 8.7 goal and and the challenge that these new legal frameworks are presenting for consumers and companies to finally say look it's not not to say I'm not aware of any slave labor but actually become aware in a global way here here okay so Brian just to follow up you've been taking me and really opened my eyes in New York to the United Nations on 8.7 kind of convening over the summer and and it's sure that you've been very involved with I was wondering if you could share any other ideas that you've heard with respect to how data could be used or what you went to the supply chain right back to raw materials what else I I noticed there's a lot of nonprofits and NGOs and companies and governments that debate about a lot of thoughts you're more familiar with it than I am but give us a sample of some of the thoughts on what data is out there that's relevant and how what are some of the ideas of how it could be leveraged in order to start to combat modern slavery yeah sure so I think one of the most interesting presentations that we saw at the UN gathering that James Peking put together was the University of Nottingham group we're doing really amazing things with satellite imagery and identifying where brick kilns were in South Asia so brick kilns are a notorious site of forced labor and child labor but no one really has a sense of where these brick kilns are they're just you know these kind of odd structures that are generally in sort of remote places but using satellite imagery these this this group of Nottingham was able to train machine learning models to identify these things by air and get a much better handle on exactly how many of these kilns there are in South Asia therefore we can estimate how many people are likely to be enslaved there so that's another I think very interesting application but we are a lot of them and so what we're trying to do uh or what we're well I guess what we're now announcing that we're doing uh is I just want to say thank you for the opportunity to be here for those of you that are related to the law this is an opportunity when I've heard computation a lot for those of you that are consumers within the court system you know that the court system is clogged a lot of that clogging has to do with regards to um modern day slaves and so if you are involved in business and you're wondering why it's taking three years for your case to get to trial it's because of the clogging and the traffickers know this I mean it's not they know that they're clogging up the system and that also delays the prosecution of traffickers as well so this is a fantastic opportunity for the court system to understand this problem and then for the court system to quantify it and be able to lobby within itself and also with the legislature to change the laws and the rules in order to help save these victims and thank you really well thank you so what but I wanted to take my weird sort of wrapping this off so this is oh I didn't want to go out and go over the house oh perfect is that good one more thing just a piece of now the judge talked about the legal and um Brian uh the whole labor right the supply trade I just want to highlight I was involved with the first Super Bowl against new trafficking in 2009 in Tampa Florida with the uh the Bureau of Investigation and others um that the whole complicity in the hospitality industry hotel specifically that say uh you know they turn a blind eye so there's many cases that are going to be coming out in the next year using the federal our federal law here in the United States uh more and more and others in states going to start uh also creating their own laws in Florida now it's mandatory for every hotel to on their house ability 51 to have training and the next year also be fine starting October 1st 2020 $2,000 today to train the workers now I'm saying that because the complicity in kind of what triggered me Brian when you said that was people are even though you may look at what we we know and say well there's not a lot of cases right in the hotels and hospitality industry identifying trafficking it's because we haven't really uh we're not asking for the right questions and then there again there's not the data to support the survivors um know which hotels hotels resorts even Airbnb that they were trafficked in so you know people say is this occurring yes it's occurring and it's global right with the hospitality industry and what my goal is that we can begin to create some tools even for the hospitality industry and maybe the hotels the spas the restaurants and or the transportation companies so that we can help identify what is occurring because it's alive um and well and it's occurring and we know that by hundreds of survivors testimony so I just wanted to say that's being important so this is critical thank you and it's important and couldn't be more urgent yeah and we are in the infancy of something that hopefully will not take as long as it did for domestic violence 15 years is too long we can combat this now and I believe that we have the right people too Adriana do you want to go and pull that slide up uh we have an initial ask for everyone who's in this room and also those who are listening and um the first one um what we pulled up is that I mean number one of course is data so we are looking for um ideas on how we can best collect the data we had a really great conversation with with sandy earlier and sandy's ideas and bring in regards to encryption but we'd like to start to look at the patterns within the data and that would be part of the hackathon but then also buildings and the applications and um you know ideas around what would combat this I think this is going to be something that's intellectually stimulating and also something that's tremendously challenging as we start to look at this massively huge problem that is a feelings issue but really if we stand back it's a data issue it's the things that we as legal technologists are really good at doing and so um we we're looking for data um data selection uh places also and then also building teams so our hackathon teams and then if you have a if you have a company or if you have a university we'd love to have you host um and lead that hackathon we've got packets that we're putting together so that you will have all the packets that you need all the information that you need to post information um we'd love to have your university we'd love to have your corporation um you know or your law firm post that location and we are hoping to have minimally 50 locations globally because we'd like to do a global effort as we get the data globally and then also see what's unique to each of those locations of each of those regions and of course sponsorship I mean sponsorship the MIT Publication Law Report is tremendously important that sponsorship will then of course um portions portions of it or whatever you would like to apply to this project would be key because we do need sponsorship to be able to make this happen and then also to be able to um to build and and grow this team you know we'd love to I think number one start with human trafficking but grow into the entire area of slavery I think we can make a you know this first year I think we can make a huge dent in many of the issues that you're running into because I mean I know you and your team are just working non-stop you know 24-7 yeah we tried to have a call yesterday you were on a steam operation it was like literally taking it to the streets and it's not hyperbole you can say this can't be more urgent your people enslaved right now people are suffering that's why this is the most important issue that we're pursuing absolutely well I think and and just to give some of that a little bit of light I mean even some of the things that I've seen I've seen girls branded for those of you who are technologists are by d-chips they're putting it in young women from what I we actually wanted to work on this I do some work in and I was shocked she said she had been tagged I didn't want to know what she's talking about and then we found a chip inside of her so there are things that we need to combat and now before it does get out of control yes this as well is that so much emphasis was given this past year to the Jeffrey case I mean that went global right that's just one person that was exploiting and sexually assaulting minor girls and others and all women as well this is one person this is happening every day as we speaking right now in every country in every state the United States we should be just as upset and not just because of some some billionaire was doing this but that it's happening every day to to children and to just it's the human rights issue it's a crisis and the needs to stop yeah so with transparency we can all see what we may not know or I guess don't even sometimes care to know too yeah the data can can reveal what's happening in reality and it can also begin to provide some means to measure how well we're doing at combating it yes so so we're going to say it's going to go and I think this might be the right time is I know you and Brian and others on the advisory board and we would like them to the task force will be having meetings to figure out a charter and everything but I know that Brian Wilson and I are already as soon as you tell us to to create a task force page and to include at a minimum a way that everybody all of you out there dare listeners dare viewers fellow humans team human to sign up to participate and collaborate with this team as we kind of go forward to share your ideas to share concepts of data and to participate in some of these activities and to review ideas and provide feedback and another thing that I think we can do because saying he said we could this morning is leading up to Adriana's brainstorm in Paris which sounds very interesting getting back to fundraising and we'd love to go to Paris for that if we could although we have zoomed in a pinch but leading up to that we can host I guess I'll exploratory preliminary meeting here where once you've had a like about a month or six weeks or so to figure out what you think the plan would be toward early February late January we can do something in the United States here at MIT to look at the idea or even the alternative ideas saying he is kind of agreed to participate that we may be able to draw from other of our communities here thanks to Robert Mahary we collaborate with the civil rights division at the Department of Justice and they have human trafficking as part of their their portfolio for what they're combating I won't speak for them other than to say it's their public they're very much actively looking for ways that they use data to measurably allocate their resources better you know like what went to work on it could you measure deterrence who we measure how what we're putting a dent in or interdicting these crimes before they start how can they have limited resources for prosecutors and investigation how how from their perspective it's about getting a day-to-day question how can data assist them maybe people like them well that's some good ideas to write the table as well maybe you will have great ideas about what we could be doing and we need to hear about um me and all ideas and everyone's going to have to put an order of water I think to to fix this you know there's no dumb idea I promise you just like that movie meet the robinsons from disney sometimes the worst idea is actually end up being the best so when we would love to invite you to the task force we'd love to invite you to Paris to join us at the future society you know Adriana would be glad to host us anybody who wants to pay your own way we're more than happy to have you join us we'll we'll make sure that you have that opportunity we're going to have a full day session of whiteboarding with the team there and I think it'll be a really good time um and very eye-opening that's well I mean we all know that we all know the problem it takes a village right to raise a child well it takes a army of abolitionists and modern day abolitionists to put a dent in this crime I think this is the time of the hour um and so thank you uh Chana for bringing us together uh Adriana came with me to Paris and um and in Florida but um yeah come together with us this is the time things are really coming together as we see uh globally nationally uh in the fighting against human trafficking you're here in Massachusetts you know a long history of abolition so you know unfortunately it's time to revive that so with that I want to thank all of you um taking the initiative to take time out of your days uh to to be in leadership positions on this task force and um you know without you we wouldn't be doing this so thanks for the opportunity to to try to allocate more resources and the thoughts we have uh to make a difference in on this post and thank you for the opportunity thank you very much MIT's support yeah it was MIT okay just go transition all right oh you're doing better okay here we go oh it's a really show it's it it's proven it's here it's here we're still live we're still live okay we're live so just a few minutes off the wrap and then um those of you that are here will do the tour of the media live and if you want to be the main contributors to the MIT computational law report come to a future event you can meet the robots too in a future tour as though just contributing is an enticement enough so we now want to do a quick set of thank yous and I'm going to do my share here with my share and announce this for what's what's coming up next so here we are so the first and perhaps most important thing to note is moments ago um we switched the um the permission settings on the computational law report um which is computational law dot pub.org but um but our main front door is just law dot mit dot etu um to public so one from the private to public and so that is what we call the soft launch day and um if you click on about we want to thank our team um so thank you as a you know getting this uh seating the kernel of computational law years and years ago and kind of having to grow into this like I I can speak for everybody here we wouldn't be here without that without your guidance and stewardship and you know wondering the little plenty that turned into the computational options. Thank you um and thank you Brian for um for basically stopping your previous schedule of life and flying out here to Boston um and really digging in as a sort of our newer newest perhaps members uh the mit community and the computational law research team and really really bringing this thing to life um as editor in chief um Sandy Pentland of course is another person with whom this would not be possible as our faculty sponsor sort of um like the big vision person uh we talked we want to thank Bob Craig um we we've mentioned already so I know of Baker Hostetler our board of advisors Michelle Gitlitz who has a new dissertation. She's a crowd morning. She's um moving on up. Shawna Hoffman who's joined us of course today thank you Shawna from IBM David Horrigan from Relativity who I hope will be joining us to fill out our podcasts um you guys haven't your ears haven't lived until you've heard this guy's Malik Lewis voice it is so good so he's going to fill up our audio soundscape very nicely especially powered by the fuel. He's a smart guy. He's connected Daniel Katz. Dan Katz is um he's a Chicago kid and one of one of the granddaddies of this concept of computational law very much a real thought leader um Kat Moon. Oh Vanderbilt. Vanderbilt. Program online innovation which I think was really cool that they actually had a standalone program for that. So she's helping to hatch young computational lawyers from law school and one of our authors um Christoph Carrera um who's a um he's chief risk officer and chief counsel of General Electric um for their own business innovation scheme and uh their corporate counsels the SCC staff and corporate governance and very great a great guy um Elizabeth Reneres who's now a fellow at the the Berkman Center for Law and Policy here. Working client centers with the internet society. Even better as we're internet in it and society um and she's been a terrific collaborator and uh is also an author on a piece uh that will be um made public soon. I am the obstacle. I want to finish right by section um T. M. A. Rogare who is with us in the room today. She's a proper legal hacker and she's also helped us co-teach the computational law course here at I.T. in the past and very creative and of course writing you listening um to distinguish uh the boss location of Thompson Reuters labs and um well she is an MIT alum as well uh in linguistics um even snubbed through the first computational linguistics I think um PhD or at least one anyway he's a pioneer. He also gets the award for most Thomas Pinsch and references and the units that we've seen. That's true so stand by the awards category on our side. Um editors um uh Mila uh from San Paolo. She has a startup uh as counsel there doing some really amazing stuff with Storm on my own. Johnathan Askin the um progenitor of the legal hackers movement and a law professor at Brooklyn Law School. Yeah. Very creative man um Janice and Dempsey um who was a Stanford codex of the last year and it's also the sort of executive director. He's the global policy uh counsel for Lune the alphabet company that's uh looking at deploying satellites to have Wi-Fi in areas all around the globe. Yeah very very interesting. He was a sort of telecom attorney for a time and he's also the the kind of one director and a spiritual leader almost of legal hackers international. Um Diana Fernandez um is also a proper legal hacker. She's getting a PhD in something related to law and computation in Portugal and uh she's she's been instrumental in helping us set up the the finder the finder page that we've got. Among many other things and she also helped us on as a teachers assistant in in our course last year. I think she her role to be elevated this year. Sarah Glassmeyer another real uh wonder stone. She's she's a program officer at the ABA Center for Innovation that I met when I was a fellow there um several years ago. And she's also sort of um ascended from Harper Law School. She's also the Berkman Center and she she's her I think her background is really interesting because she's a librarian and so many of these uh these issues that relate to computational law and they they're really working back to this idea of quantifying language and you know librarians and been dealing with that for a long time and so I think this is a really great uh you know I think the diversity of roles that we have uh her backgrounds that we have is something that is very exciting as we try and see this interdisciplinary field a little bit more. So true you know library science knowledge management exactly what we need that was the law becomes you know truly a digital network enterprise um Tony Lye who is a co-founder of legal.io is also a codex fellow he runs their blockchain research group out there and another proper legal hacker and he's been invaluable from the very beginning of this effort he has a terrific UK accent too that I don't want to miss. Robert Mahary who who's trying this person who you just met and again he kept emphasizing up MIT alum and now a law student so this is the shape of things to come and um Gabe Tenenbaum last but not least um a law professor at Suffolk University Law School which is another innovation bet for law and technology um they've been doing terrific work and they have a lit lab legal innovation technology and lab and he's also just very creative person it's lit and enlightening um so what if you want to get involved what if you would like to make a contribution or if you want to contact us I don't know hey look down here um we've got a little something at the bottom of the page which is um this is a bit of a oops we think it's that right now which is a bit of some a little bit different for me actually I only do forums but we're kind of reaching out now with a direct email address so we'll see how that goes but for the time being at least um contact at computationallaw.org um you can join our telegram group which is pretty active the computational law um kind of chat group um which is more informal on telegram um if you're you know so inclined you can go to our public basing github repository and um you can use issue tickets there and the contributions um and of course you can join an email list by going to our law.mit.edu contact page that's probably the very best way to just kind of get on the radar um because forums are structured data it goes into a nice database and you kind of get back to you in an organized way but there's many better options here for getting in contact with us but what if you already know for sure you want to submit an article you want to submit data science we have a button for you at the top menu nav bar here submit and so we accept written content um you saw some of the initial articles today it could be three lengths long medium or short yeah we we're pretty flexible then we accept rich media um so um we you you saw a video um from carbon law school of uh of their legal symposium suit will be published soon but it just ran out of time uh so for our making tonight or tomorrow you will see the legal tech live um video podcast yes that was a very fun podcast with some of our good friends yep uh nick and um Hannah who were the hosts and we basically go through some of the dimensions of what what computational law is and so anyway if you've got rich media you want to share you have an info graphic um a visualization um podcast video a rig it if it's relevant and uh so you will see whatever editorial board thinks it makes the cut you're in if you can describe it in a form we're interested in what it is and you're the best things to put through structured data inputs like forums of course are data themselves and so if you got data science if you have a data set that you have rights to share um so like open source creative commons very important um if you have an application of some kind um that is under uh an open license so that we can accept it and we can publish it and distribute it we have an input for you in fact um there's nothing more important than actually bringing computational law itself and the and the rudiments and components of computational data and applications and data science projects iphone notebooks jupiter notebooks are notebooks what notebooks are a good way to share or you can just share your script and your data set or your whatever it is that you have it's open source let us know and um and the key thing that we're looking to be here is use some of the the key method for science and um and mit approach is making sure that we can achieve reproducibility so can others who are already on your team take the work that you did and achieve the same results and there's one two ways that we go either they do or they don't both of those are good um so from a scientific perspective it's not a failure and there's no shame in doing that you actually learn by having others attempt to reproduce your work and then we share where the gap was and sometimes people that fail to reproduce work then tinker with it so they can reproduce it or on a good day produce something even better and we share that back and this way we have a kind of open culture for innovation um uh in this um area of law yeah and there's a couple of things that I'd like to point out here one is that we are going to have a data set that we're releasing for zoom we're in the process of doing a little bit of scrubbing on that and kind of uh wrangling it into the best proper form that we can to get it uploaded but we'll have information about uh from about 160 thousand records uh pre-trial detention in the state of Maryland and so if that sounds remotely interesting you know um please reach out to me after we set this up and it would be really interesting to see what can grow out of that like what analysis you can do from these records um another thing that I'd like to point out is that um in the in the format that we've chosen to present this in um there are actually a lot of cool benefits there um you know the conversations aren't like in a traditional academic article where you know the article exists as a static thing and uh authors don't really get feedback except if somebody else writes another article that's about your topic um in pub hub uh there's a feature where you can go in and comment on the articles and have a conversation so if you log in with the username you know you can you can actually start a discussion and so we're we're really interested in the the idea and empowering some of the the work that the pub team has done um by you know seeing what people actually want to say about the lie letting people describe you know their their insights and experience with different facets of it and then really operationalizing that so that um all of this collective knowledge can be become more useful for everybody indeed um and so uh with that um I want to thank everybody that came in person today I want to thank everyone that joined us remotely and I want to also thank all of you who discover and watch this later on the law dot mit.edu youtube channel and encourage and uh and invite you uh to to join us on this endeavor for engineering the law for hacking the law to cause it to evolve and to transform and to a computational system along with our extensive society but to do it in a way that is well engineered a way that is deliberate so that we can make this transition with our values of tact and achieve the goals explicitly that we've set for ourselves and for the broader society so yeah thank you very much thank you for for helping see these fun things and this soft launch is hereby adjourned where's my hand