Tuesday, October 12th from 12:30pm-2:00pm
Description
You have likely heard the term "Machine Learning" before, but do you know what it means and how it is applied in the legal field? Machine Learning uses algorithms and statistics to find patterns in large datasets. Many firms are incorporating machine learning tools into their practice, in a race to become more efficient, effective, and competitive. From document automation to due diligence to predictive analytics, machine learning is providing lawyers with the tools to become more productive than ever before.
But what exactly are the machine learning algorithms doing, how do they get built, and how are lawyers using them in practice?
This session, led by Noah Waisberg, CEO and Co-Founder of Kira Systems and CEO of Zuva AI, will teach you everything that a law student needs to know about machine learning. He will lead you in the development of a machine learning model, explaining along the way how machine learning algorithms are created, how the algorithmic model gets "trained", what types of data are collected, as well as showing you the many uses for machine learning in the law. Noah is an expert in the areas of legal technology, artificial intelligence, and innovation, and he will help you to understand how you can reap the benefits of machine learning when you enter the profession.
Please note, you do not need to have any familiarity with technology or artificial intelligence to participate in this session. This workshop is meant as an introductory session to help familiarize yourself with the concepts.
Noah Waisberg
Noah is co-founder and CEO of Zuva, a company that uses AI to help businesses understand the details of their documents. Previously, he co-founded and served as CEO of Kira Systems for 10+ years to its exit, helping to grow the company to over two-hundred employees, and having 18 of the top 25 M&A law firms as well as all of the Big Four as customers. Prior to Kira Systems, Noah was a corporate lawyer at Weil, Gotshal & Manges in New York.
Noah is an expert on contract analysis, legal technology, and artificial intelligence; has spoken at conferences including SXSW Interactive, ILTACON, and Legal Geek; and has been named FT's Intelligent Business Market Shaper and ILTA's Innovative Thought Leader of the Year. 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. He is the co-author of the Wall Street Journal bestseller AI for Lawyers, and Robbie the Robot Learns to Read, the world' first children's book on machine learning.