Generative AI for In-House Counsel: Navigating Copyright, Fair Use, and Liability in Gen AI

Even as courts grapple with the rapidly evolving issues in generative AI, the technology is delivering enormous benefits to companies that have embraced it. The best in-house legal teams balance the opportunities and seize them while understanding how their companies (and legal departments) train and use tools like ChatGPT.  What have we learned, what open questions remain, and what does that mean for in-house legal?

Join us at 12 pm ET / 9 am PT on Thursday, February 29, 2024, for a dialogue with Mark Lemley, William H. Neukom Professor at Stanford Law and the world’s most cited scholar in IP law; Cecilia Ziniti, three-time General Counsel and former product counsel for Amazon Alexa and General Counsel for software AI company, Replit; and Daniel Lewis, US CEO of LegalOn Technologies.

This CLE webinar provides an update on the rapidly evolving legal issues around generative AI, model training, usage, and protecting intellectual property:

• Copyright and Fair Use: The future of copyright law is being decided right now. What issues are at the core of blockbuster generative AI lawsuits and what have we learned?
• Mitigating Risk: Amid an evolving legal landscape, in-house legal is charting the way forward. What are best practices for governing generative AI use and development?
• Seizing Opportunity: AI promises big opportunities for business – and for legal teams. How are in-house teams responsibly using AI in their practice?

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!