Generative AI for In-House Legal: Navigating Intellectual Property

Generative AI's Opportunities & Risks

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?

In this on-demand webinar, 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 discuss the rapidly evolving legal issues around generative AI, model training, usage, and protecting intellectual property.

Discussion topics include:

• Generative AI: Learn from industry experts how generative AI is distinct from traditional AI techniques, and why that matters for in-house counsel.
• Training AI Models: Generative AI is trained on vast databases of content, including content protected by copyright. Hear from leading experts on the key issues - is training AI infringement or fair use?
• Output Liability: Dive deep into copyright and contractual issues around the output of generative AI, including liability and indemnification.
• Copyright Ownership: Is AI-generated content eligible for copyright protection? Learn the legal issues around authorship in the age of generative AI.
• Practical Takeaways: Generative AI is rapidly transforming the legal profession. Grasp practical tips for navigating this new era, including protecting your IP and data, scrutinizing terms of service, and protecting content ownership.

This program is designed for in-house counsel interested in learning best practices and mitigating risks when advising their organization on using generative AI. Access to this program is FREE today.