 Two two videos ensures at least one in my book. So, okay, great. So This is um, so everybody donate to Bushwick generator, we'll get better projectors, okay I'm now going to Get my application window boom share present Okay, um, do you see the slides Brian? Yes Okay, um, oh I'm sorry. I I'm supposed to say a couple of things before Brian slides. One of them is when we're transforming a field In the beginning it might look like you want like if you want to fly maybe we need a mechanical bird You know with flapping wings because that's what we know from the past But it may be some business process re-engineering is appropriate in order to achieve the results that we want Something more like a fixed-wing airplane so too with the law Right now Thanks to stand for codex. There's a nice breakdown of what's happening in the legal tech market There's a lot happening with a dispute. You can't quite see it We'll make the slides available. There's a lot going on with document assembly with contracts with online dispute resolution practice management predictive analytics Hmm I might talk about half of what's going on in legal tech today is some form of automating existing processes and Existing legal instruments just making them digital and data driven And about half and I think it's growing is something that transforms a lot So it's not the way that we used to do it at all. It's maybe model-based and depends upon like Chains of applications that transform the nature of the practice itself So what so just as a An almost ideological statement what we really want to try to do with computational law Is treat this information more like structured data and less like First slide less like Like going from a parchment and making it pdf. Well, yeah, that's digital, but is it computational? Not really not really. Maybe you can scrape a little metadata off it But here's an example of what telling computation of what structured data looks like xml has been widely applied to law json is more The the language of the day And now once things are more Instructured data and expected formats and according to some standards that can be applied across different boundaries and context Having interfaces like basic rest interfaces are critical in the law This is not currently individual applications or particular government agencies like the federal register support rest interfaces to interrogate the data to integrate something But ultimately in the law we imagine and suggest We should start to have more standardized types of interfaces and more expected design patterns so that we can Integrate more and more processes and legal instruments in standard ways so we can start getting more ecologies of automation Once you do that the type listeners triggers and literally start to connect processes so that they operate more and more More of an automated way and then we're going to explore especially the smart contracts and blockchain Um, some things can in fact be autonomous Everybody Everybody needs to get the get protocol is the theological statement Further into that. Um, we should also express our data This is oversimplifying but think about it as three layers something that's human readable. Um, you know, it's simple um plain language rendition that summarizes what whatever the instruments are for lawyers as a regular people like Something that's lawyer readable, you know, all of the terms and conditions of the nuances Or particulars and some things machine reading. Um, so it's more like data Um, so this is the best practice I'd say now for expressing anything from statutes and rapes to contracts Another legal instrument and having a better sense in the law of what a user User of what how to display data not only the dashboard and things like that, but also the user experience Um, so that it's more of a human centered experience And then finally at the media lab We think a lot about the implications of ai An autonomous system. So one vision that a lot of people have is sort of like this um, you know, who's this? see 3 p.m It's an autonomous system But there's another vision that we've really embraced at the media lab We call it extended intelligence And you know if I had to oversimplify it, um, it might be more like iron. So now we've got um Automated systems and including autonomous systems of collision control and targeting and a lot of stuff in there Stuff that adjusts for pitch and roll But it's extending the cognition and the capabilities of people This is another way to look at how we can harness automation and autonomous systems But we're the role of lawyers and clients and policy makers can still be very essential And we need a stack some kind of stack of a lot Okay, so with that on brian, um Learn us about how to actually do this. Let's go through your slides. Yeah, sure. Um So I think everybody here is Actually here for is like trying to understand the different ways that we can compute the law And so, um I would it be better to Flow with Come again, uh, should should I Yeah, perfect. Um, okay. So, um, you go ahead and take over the screen share. Okay Start your screen share We have a very tripindicular display going on here. So it's a little bit like Like a hacker in new arm Okay, so can you all see that? Oh, hold on a second Boom What is computational law? Yep You're up. Okay, perfect. Okay, so I As I was saying Here is To better understand the different ways that we can compute the different various legal functions that allow our Society to kind of operate at the optimal level. Um, and so what does that look like? Uh, Michael Codex kind of came up with this idea that computational laws that branch of legal informatics concerned with the mechanization of legal analysis And this can be done by humans or machines And um in the paper where you kind of set this out He likened it to having A cop in the back seat that can let you know about the regulations like speed limit Whether or not you're able to make a u-turn And kind of like really contextualizing the way that that could look Um, and so, you know looking forward there are a lot of possibilities out there and so any of the warriors and legal scholars and Anybody who's Been familiar with legal writing. So this is kind of structure that exists for um like breaking down Um and writing about You have an issue You apply some rules to that issue You analyze the way that that rule Should be inferred based on the context around you and then you arrive at a conclusion Um with computation while there's kind of a similar structure that we can derive Um, I don't know that the action necessarily flows, but you have data You have all these pieces of disparate information. You can input them into some sort of form Uh, that could be like google form. That could be something like an expert system um, it could be kind of whatever you imagine um After that, there's some computational layer that is applied and then you arrive at some output And so you might be asking me what are all of these arbitrary things? How are they connected? um, so In the legal industry, you know, this data could be static It could be like the dc code up on github. Um, so it's got you know different laws of regulations. It could also be Something that's live. It could be from an open data portal. It could be something that's you know interacting with an hni And then you put it into one of these forms that allows you to harmonize kind of these uh different Layers that desert was previously talking about the blt terms You'll have your human readable your machine readable and your um, kind of like legal code there And this is going to like necessarily require a higher degree of specification. So it And Is that it forces it prevents the lawyers from being lazy and forces them to actually specify what laws are supposed to do um, something that is really important for the internet and um with Happens which is a thing that you don't do that. Um, but uh, yeah once once you have You you once you have the data at input you get to that level of computation. And so you have Functions that automatically send emails. They automatically create records. They allow you to monitor compliance You could even get into some of the more fun stuff like machine learning AI smart contracts At all of the sorts of things that I imagine people hear Here participating in the computational law and blockchain festival. These are the sorts of things that I think get everybody excited um, so once you've done that Your data can be used in a way that allows the law to be more human So you could have reports that allow you to Reports that allow you as a lawyer to kind of do your job more effectively You could have some tools that allow you as a citizen to be able to navigate the process of getting a Getting your immigration papers filed your divorce papers filed whatever it may be and this Moves us forward in a progressive way Um, so we're going to get in a little bit just in vignettes that really drive these points home Um, so turbo tax Data tax filings The user inputs that data into a form This expert system helps you calculate your tax liabilities Your state and federal tax returns are generated um with do not pay information about The ways that you might sue operations. They have information about state and federal laws that information is input into An application on your phone They compute the amount of money that you could possibly sue for and your times are automatically generated Dla Piper has a great Global map of all the data protection laws of the world that is interactive Um, if you get a chance, it's a really fun tool to play around with But they have all this data about the global data protection laws um user can kind of Navigate drag laws to compare them and see You know, what's happening like if i'm uh, if i'm a lawyer, you know, and i've got a client who Wants to deal with data in the eu, you know, it might be helpful to see where the difference is between um The laws of Canada where we also want to market our product And so you can automatically generate those reports and see the differences of the laws between the various nation police Relativity trace is also another cool tool. They have data about insider training Um, they have a lot of data that they've collected about insider trading and compliance They monitor email communication in real time. Um, they can flag suspicious activity and identify that for their security officers and their compliance officers and then actually set up some dashboards to help visualize the areas where compliance um and non-compliance Are more easily understood Um, and so part two of this is going to look at docus symbol is like a really cool tool. It's an opus open source tool that allows you to um It allows you to set up some of these computational legal frameworks pretty quickly And so docus symbol was developed by jonathan pile. It's completely free. It's open source. Um, it is In python animal and markdown um It allows you to generate documents and pdf. It allows you to send taxes among other things um and You can integrate with your isle management system You can set up chatbots that help your clients navigate to the services that they need more effectively Um, you can do all of this in github so that you can collaborate with other lawyers all over the place Who are doing sort of similar things you can improve the better practices you can come up with standardized um working on this stuff that uh makes it makes the practice a lot more transparent Um, and the way that you can do this is by deploying doc symbol You can set up your own docker container and run it locally or you could use a the great new york based uh group called Lawyer they've got a ton of really cool tools that allow you to kind of go in and for free set up um your own guided interviews about how to do this um And kind of an overview of the function It's these are the little pieces of code that actually allow you to compute the law So as you can see here, um, it's not As intimidating as programming languages, um You know, you you set up a question to allow people to input their answer and then you say, you know, what? Sort of computation will be applied and it and it doesn't you can Visualize that on the left, you know The infrastructure that allows you to get to the piece on the right that actually returns what you need And so here's a list of all of the functions that are available I'm not going to read through all of them because uh, we have posted these slides on the uh The page for the web page for this event So feel free to check these out when you have a chance and you can kind of run more all of the all the links are working um, but yeah, you can take data You can walk through this guy's interview. You can generate advice letters. You can generate complaints for custody You can generate certificates of incorporation um And if you ever have questions, you can collaborate with other people who are doing the same stuff on github um docusymbol has slack that's open for everybody and um I don't know if they're at this event, but uh community lawyer again is another great group that you can reach out to You're here. Um, and with all of that, uh, I think that everything that I had We can all hand it back over to that. Okay, perfect. Thank you, Brian. That was um, awesome as usual