Webinar

How to Build a No-Code Contract AI Training Practice

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Every business has unique needs when it comes to understanding the details in their contracts. No-code AI training empowers any subject matter expert to create models that find specific clauses and data points from their contracts and business documents.

There are some key practices and considerations when it comes to building an effective AI training discipline.

In this webinar you will learn:

  1. How to set clear parameters for your practice
  2. How to assemble the right training documents
  3. How to effectively annotate your documents
  4. How to build a training interface that shows you the information you need
  5. How Zuva trained its built-in fields

Watch now!

Meet the Speakers

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Resa Jacob

Sr. Manager, Legal Knowledge Engineering at Zuva


Resa leads the legal knowledge engineering team - a group of lawyers who create Zuva’s built-in machine learning models. Prior to Zuva, Resa worked at Kira Systems and was responsible for training the general commercial built-in machine learning models. Prior to Kira Systems, Resa was a corporate lawyer at Goodmans LLP in Toronto.

Resa holds a Dual J.D. from the University of Windsor and University of Detroit Mercy and a B.A. from Western University.

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Noah Waisberg

Noah Waisberg

Co-Founder & CEO at Zuva


Zuva 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 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 the 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’s first children’s book on machine learning.