 And we're live right here at MIT in the Media Lab, where we're prepping for the computational law course of 2019 starting in just a couple of days on January 15th and 16th and 17th. And this is a sort of a promo preview session to let you know more about one of our featured breakout groups, the one that is in fact, exploring the, well, how to integrate apps and services with a legal platform, in this case in the context of discovery, which is part of litigation. And this is all about starting to educate people with real world examples of what it means to have structured data and interoperability as part of the law as a computational field. And I'm just tickled pink to have a, well, frankly, like an expert and an entrepreneur in the space. One who will introduce himself a little more detail after Brian sets the context started Enserio, which is a company that's really a good example, I would say of how to create a constellation of apps and services that are interoperable and build out from these big legal platforms that are starting to be such an important feature of the landscape of law online. So with that, Brian, would you mind filling in some of the context and introducing Juan for us? Sure. So one of the reasons we get connected with Juan was because in the past, I'd done some work with Relativity and was, and have always been really interested in figuring out different potential use cases for what eDiscovery can do. So kind of like, what does innovation in the eDiscovery space look like? And as somebody who's kind of been in the space for a little while, another reason this seemed like a really good fit was because eDiscovery was really the kind of like the core legal tech use case, I think, or at least the most widely known one that I think people can connect with. So having something that we can frame in the context of eDiscovery, which people are becoming more and more familiar with, was very important. And from having worked with her during my project with the ABA Center for Innovation, I reached out to James Holman, the Director of Academic Process and Relativity, and she said, you know, hey, you should talk to this guy, he's a lot of really cool stuff. And in Serio, like getting to know more about Juan and more about in Serio, it's exceeded every expectation that I think everyone has had with how cool the software is and how much exciting stuff you can do with it. I think the approach is one that is very, it's not centered on what the law is, it's centered on what the law can be and designing the law for people. And so with that, I'll hand it over to Juan so that he can dive in further and kind of talk a little bit about what the working sessions are going to look like. Great, thanks, Brian. Hi Juan, thank you for taking the time to prep these applications for the class and the time to prep with the core team delivering the class and now to give us a bit of a walkthrough of your session. No, thank you guys. Super honored with the, I think, exaggerated introduction and I'm honored to be part of this course, obviously. You know, I think we're in a state right now where law and technology are flushed right now, right? We talk about eDiscovery and Relativity originally was a review company where it replaced the old associate attorney reading stacks of papers and reviewing documents to see if they were, you know, relative to the case. Right now Relativity is our preferred platform where they started in review but now they're opening up all kinds of places where, you know, the whole EDR on spectrum is being covered. And their platform has really helped us because their API and the way they have realized that writing and customizing and adapting to certain legal cases has been important to law firms, to governments, to corporate. And so they've adapted to that by providing a very extensive and full coverage API which allows a company like me or like mine, like in Serio to really kind of talk to law firms and say, hey, you know, what is this case about? How can we help you? And so that's kind of what we want to talk about on Wednesday and Thursday, which is, you know, let's dive deep into some of the applications that we've built and we'll give you some examples, whether it's a collaboration between Relativity and Slack or whether it's, you know, some real estate or, you know, in the case I gave before, which was an oil pipeline where they wanted to identify some points, you know, geographic points and we used Google Maps to visualize that versus, you know, looking at a list of coordinates that no one's gonna relate to or it's not gonna be easy to work with. It's a simple project management, right? A simple to-do list using Relativity as kind of like the source of data that everyone can collaborate on and to, you know, the beginnings of what we're seeing, which is the consumption of some of these AI tools that are available, you know, by Amazon, by Google, by Microsoft. So these are the things that kind of we wanna talk about on Wednesday and Thursday and we invite you to join us on these two days. If you're subscribed, please join us. If you're not, join us. I don't know if you can still join it, it's closed. I think it does. I don't know if you can join it for long. Okay, everybody can join. All right, fantastic. Not only is this free and basically open, while registered students needed to fill out an application and be approved, and they'll have the opportunity to actually post questions and form little teams for exercises, everybody can learn. So this will be broadcast and you can find the link through law.mit.edu using YouTube, excuse me, Hangout on Air, which goes to YouTube Live and will save the introduction and the presentation part of the sessions on our YouTube channel. So everybody can enjoy that. And we're also gonna probably archive the whole course on OpenCourseWare, which is the open source Creative Commons archive for MIT courses. Or in any case, and you can also see it in the Media Lab GitHub repository. So I really do wanna encourage people to take this session. If it aligns their interests, there are other sessions. Part of what's interesting about, well, first of all, we got great feedback from students. It was the top choice of a lot of students when we asked them to prioritize. But moreover, the examples that you'll get a chance to see and dig into of having a to-do list that's with a basic front end, something like Angular, is a great entree to talk about project management on modern business methods for managing activities and deadlines and collaboration and tracking things in the context of law. It's a perfect entree. Looking at something like integration of a map is a literal extrapolation from Brian's lecture on computational law and the importance of having structured data so that we can programmatically address it, is how you'd say it literally, but to visualize it is one of the classic things you would do with data. You can visualize it statistically. You can put it on a map. You can make a timeline or a scattergram. It's essential for why we would bother to make the law compute. And then when you look at something like the translation service, this is an entree into the application of artificial intelligence to basic legal processes. So it may be a translation app or a service today. Tomorrow it could be optical recognition or it could be facial recognition or it could be any number of cognitive services or other AI services. And again, looking at how to have data wrangled and ready in a platform and an interface that can be integrated with an AI service that might be coming from a different system in your company or your law firm externally in this case is essential. And all of the examples that they chosen are not just great examples, literally how to extend and connect with relativity in this case in the discovery context and litigation with all the document review in that context, but it's a canonical design pattern for computing the law itself. So I couldn't be happier basically with these sessions and that's partly why we've decided to not just have the breakout session with one on Thursday during the breakout sessions, but by popular demand, we're going to also provide sort of part one of the session this Wednesday, January 16th. And you can check our agenda on the class page for the specific times, but in the afternoon at Eastern time on January 16th we'll be part one and then we'll extend it part two on Thursday and we'll try to structure it in a way where you can come to one or the other or both. But the hope is that this will give us an opportunity to be able to go a little bit deeper in each of these four examples that they put together and all of the connected questions, legal, business and technical that will arise from looking at this. So with that, I want to thank you again for connecting us in the first place, Brian, it's very valuable and thank you so much for putting the time in and for your whole team putting the time and we're looking forward to meet them as well and to really take this by the horns with you and move it forward one. Awesome, no, thank you guys. Okay, so we'll see you online and if you're just seeing this YouTube kind of out in space you can learn more at law.mit.edu.