The L Suite 2026 Legal AI Conference

This conference is the definitive gathering for General Counsels and Chief Legal Officers confronting the legal, governance, and operational challenges AI is introducing across the enterprise — from building scalable frameworks and navigating fast-changing regulation to integrating AI into products and embedding it into their own team's workflows.

A number of pressing topics will be addressed, including how to navigate the crossroads of product innovation and increasing regulatory scrutiny. Speakers will examine case law trends impacting the AI industry, including output liability, professional malpractice by bots, and the erosion of corporate secrecy. The tension between the push for AI adoption among employees and the simultaneous need for governance processes in growth oriented companies will also be explored.

AI & Privacy: Navigating GDPR CPRA and the Next Wave of State Laws

June 10 from 11:00 – 11:50 AM ET

The intersection of AI and privacy law is where GCs are finding some of their most urgent and complex compliance obligations. This session moves past the basics to focus on the hard practical questions: How do you conduct and document a defensible data protection impact assessment for an AI system that evolves over time? How are you handling opt-out and deletion rights when personal data has been used in model training? What does your vendor due diligence process look like for AI tools that infer sensitive attributes from behavioral data? We'll share frameworks for cross-jurisdictional AI privacy compliance and discuss how regulators in California, the EU, and elsewhere are beginning to focus enforcement attention specifically on AI-driven data practices.

Roundtable Discussion Co-Leads:

Jonathan Newmark, Of Counsel @ Morrison Foerster

Nancy Hoffman, General Counsel @ New Tradition

Human in the Loop (Or Not): Governance Standards for Autonomous AI Decision-Making

Regulators across sectors increasingly expect meaningful human oversight of high-stakes AI decisions — but agentic systems are purpose-built to reduce exactly that. This session helps GCs move from principle to practice: how do you define which decisions require human review and codify that in policy? How do you document oversight in a defensible way when AI is moving faster than your approval workflows? We'll share practical frameworks for tiering AI decisions by risk level, embedding legal checkpoints into product and engineering processes, and building audit trails that will hold up to regulatory scrutiny — without creating bottlenecks that undermine the business case for automation.

Roundtable Discussion Co-Leads:

Marian Waldmann, Partner @ Morrison Foerster

Michelle Gough, General Counsel @ SchoolStatus, LLC