Please join us at Morrison & Foerster (250 W. 55th St.) on Tuesday, March 27th, for a presentation and panel exploring one of the most exciting frontiers in legal technology: artificial intelligence.

RSVP HERE.

The event will include:

  • informal networking over drinks and food;
  • a brief (15-minute) primer on AI technology (to level-set for a mixed audience of lawyers and technologists); and
  • a panel (including audience Q&A) on the legal use cases of AI technology (e.g., assisted document review, automated drafting, expert systems, etc.) and related questions (e.g., the ethics of AI, the future of work, etc.).

Event timeline:

6:30 – Networking over drinks and food

7:15 – “AI Basics” presentation, with John Nay, Founder & CEO of Skopos Labs

7:30 – “Understanding AI in Legal” panel

  • Brian Kuhn – Global Co-Leader for the IBM Watson Legal Practice driving global strategy and execution across clients, legal markets and internal groups. He is a former practicing insurance industry litigator and a subject matter expert in applied artificial intelligence. Mr. Kuhn is the inventor of the IBM Outside Counsel Insights solution, which uses AI to reduce outside counsel spend, and the creator of the Watson Legal Workshop methodology for practically identifying and prioritizing use cases for legal clients. Mr. Kuhn is also responsible for defining the intersection of legal blockchain and legal artificial intelligence for IBM
  • Noah Waisberg – Co-Founder & CEO of Kira Systems.  Prior to founding Kira Systems, Noah practiced at the law firm Weil, Gotshal & Manges in New York, where he focused on private equity, M&A, and securities. Noah is an expert on contract analysis, legal technology, and artificial intelligence; has spoken at conferences including SXSW Interactive, ILTACON, and ReInvent Law; and was named 2016 ILTA Innovative Thought Leader of the Year. He is also the author of Robbie the Robot Learns to Read, the world’s first ever children’s book on machine learning. Noah holds a J.D. from the NYU School of Law, an A.M. from Brown University, and a B.A. with honours from McGill University.
  • Laura van Wyngaarden – Co-Founder & COO of Diligen.  Laura is an entrepreneur and expert in artificial intelligence and legal technology. She’s the COO of Diligen, a leading artificial intelligence (AI) company transforming the way lawyers review contracts and a pioneer in the LegalTech space. Laura is passionate about the connection between technology and human work, seeking to identify and explore innovative ways to reduce time and improve accuracy of human tasks. At Diligen, Laura has built, from the ground up, one of the fastest growing legal AI solutions; hundreds of lawyers have adopted Diligen’s contract review platform including at some of the largest law firms and corporate legal teams in North America. Laura holds undergraduate and honors degrees from the University of Cape Town and a Masters from Oxford. She tweets as @laurawyngaarden about legal technology, artificial intelligence and the future of work.
  • Phil Bryce – Global Director of Knowledge Management at Mayer Brown.  Phil began his career as a litigation associate at a large law firm, but left full-time practice and moved into Knowledge Management more than 25 years ago. Phil heads a global team of Professional Support Lawyers who are embedded in Mayer Brown Practices, as well as a central KM team that works to improve KM policies, processes and platform. In collaboration with Mayer Brown’s CIO, Phil is responsible for coordinating the Firm’s exploration of AI and cognitive technology.
  • John Nay – Founder & CEO of Skopos Labs Inc. John is also a researcher at NYU and an affiliate at Harvard’s Berkman Klein Center. He received a PhD in Computational Decision Science from Vanderbilt University. His machine learning research is directed toward policy and financial applications, including computer simulations of trader behavior in prediction markets, software for forecasting drought globally with satellite data, computational models predicting human cooperation, software for automatically estimating models of decision-making, natural language processing of law and policy, machine learning for predicting and understanding law-making, and text analysis of Presidential documents. Skopos Labs’ AI-powered predictions are used by law firms, universities, institutional investors, and equity researchers.

8:30 – End of Programming

 

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