AI Ethics for In-House Legal

Courts are deciding right now how privilege, work product, and professional responsibility apply to AI-assisted legal work. This class gives you the framework to get it right.

This 60-minute live class covers the ethical rules that apply to in-house lawyers using AI, grounded in ABA Formal Opinion 512 and case law. The session includes interactive risk assessments and hands-on exercises.

• Privilege and confidentiality: Evaluate whether your AI tool and your workflow can support a privilege claim, using the five-factor framework emerging from Heppner and Warner, two 2026 cases with opposite outcomes decided one week apart.
• Hallucinations and accuracy: Learn when and why AI produces unreliable output, how to structure your instructions to reduce the risk, and what a verification checklist looks like in practice.
• Quality control and supervision: Use AI to audit its own legal analysis in a hands-on exercise. Cover automation bias, why verification degrades as trust builds, and what your supervision obligations require.

Taught by a GC AI Solutions Attorney, with live Q&A throughout.

Eligible for 1 hour of California participatory MCLE credit in Legal Ethics.

Speakers: Phil Lamothe, Alessandra Colaci, Courtney O'Brien, Amanda Ferriss, Lauren Picconi, Carla Lamb, Jenna Hunt.

Attending from outside California? California attorneys may also claim California MCLE credit for qualifying courses approved by a California-approved jurisdiction: Alabama, Arizona, Arkansas, Colorado, Delaware, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Minnesota, Mississippi, Missouri, Montana, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, and Wyoming.

CLE credit in other states is subject to approval by the applicable state bar authority.