Daniel Lewis, US CEO of LegalOn Technologies
Daniel is a recognized leader in advancing legal technology, with 10+ years at the industry’s cutting edge. He is the US CEO of LegalOn Technologies, a global leader in AI contract review trusted by over 3,800 legal teams globally for pre-signature review.
Previously, as co-founder and CEO of Ravel Law, Daniel helped pioneer the use of data analytics and visualization to transform legal research. After LexisNexis acquired Ravel Law, Daniel oversaw several of LexisNexis’s business units, including as the VP of practical guidance and analytical content.
Daniel is a graduate of Stanford University Law School and is admitted to and active with the
State Bar of California. Daniel was a visiting Professor at IE Law School and a Fellow at CodeX, the Stanford Center for Legal Informatics.
Noah Waisberg, CEO of Zuva
Noah is a leading legal technology and AI entrepreneur with deep expertise in contract analysis. He is the co-founder and CEO of Zuva.
Prior to leading Zuva’s spin-out, Noah was CEO of Kira Systems (the leading contract analysis company for professional service firms) from its founding to its sale to Litera in 2021. Before that, he was a corporate lawyer at Weil, Gotshal & Manges.
Among other awards, Noah was named the FT’s Intelligent Business ‘Market Shaper’ and ILTA’s Vendor Thought Leader. He’s the co-author of WSJ Bestselling book ‘AI for Lawyers’ (Wiley) and author of ‘Robbie the Robot Learns to Read’ (perhaps the world’s first children’s book on machine learning).
Noah is a New York University School of Law graduate and admitted and registered to the New York State Bar.
Mark Lemley, William H. Neukom Professor at Stanford Law
Mark Lemley is the William H. Neukom Professor of Law at Stanford Law School and the Director of the Stanford Program in Law, Science and Technology. Mark teaches intellectual property, patent law, trademark law, antitrust, the law of robotics and AI, video game law, and remedies.
His works have been cited 300 times by courts and more than 40,000 times in books and academic articles, making him the most-cited scholar in IP law and one of the ten most-cited legal scholars of all time.
Mark is of counsel at Lex Lumina, where he litigates and counsels clients in intellectual property, antitrust, and internet law. He cofounded Lex Machina, a startup that provides litigation data and analytics. Lex Machina was acquired by Lexis Nexis in 2015.
Mark previously clerked for Judge Dorothy Nelson on the US Court of Appeals for the Ninth Circuit and taught at Berkeley Law School and the University of Texas School of Law. He is an active member of the State Bar of California.
This program is approved for CLE credit in the following states: NY, PA, CA, IL, TX, AR, NV.
This program is pending CLE credit in the following states: TN, OH, MN, NC, WA, GA, IN, KY, MO, CO.
This program is pending CLE credit for self-application by the attorney or for reciprocal CLE credit in the following states: AZ, CT, FL, ME, MT, NJ, & ND.
Generative AI for In-House Counsel: Navigating AI Risks in the Business and with Third Parties
Event Description
In-house counsel are navigating legal questions in how their companies train, use, and protect against generative AI tools like ChatGPT. How do you effectively manage legal considerations and risks of AI in both your business products and the vendors you engage with?
Join us at 12 pm ET / 9 am PT on Thursday, November 9, 2023, for the next edition of our Generative AI Deep Dives Series Mark Lemley, William H. Neukom Professor at Stanford Law and the world’s most cited scholar in IP law; Noah Waisberg, CEO of Zuva and author of ‘AI for Lawyers’; and Daniel Lewis, US CEO of LegalOn Technologies will discuss the rapidly evolving legal issues around generative AI, model training, usage, and protecting intellectual property.
Discussion topics include:
- Training AI Models: Address legal challenges linked to web scraping, copyright protection, and fair use.
- TOU and Contractual Implications: Grasp AI Terms of Use and related contractual commitments, encompassing both training and output liabilities.
- Data Privacy and Management: Protect sensitive data from AI training and its eventual outputs.
- Accuracy and Reliability: Validate the integrity and quality of AI inputs and outputs and reduce risks tied to AI inaccuracies.
- Ethical Concerns: Champion human oversight and human-in-the-loop decision-making, ensuring AI tools are transparently and appropriately developed and utilized.
Who Should Attend
This program is designed for in-house counsel interested in learning best practices and mitigating risks when advising their organization on using Generative AI.
There is NO COST to attend this LIVE program!
This program is FREE thanks to our gracious sponsor, LegalOn Technologies. Negotiate stronger contracts faster with the global leader in AI contract review. If you can’t make it to the live program, the recording will be available for viewing via our paid CLE library, In-House Connect On-Demand!