Teaching.
I teach because it forces precision. A board, a bench, and a room of law students will each accept a different explanation of the same system — and being able to give all three is most of what my clients are actually paying for.
AI Governance & Policy — Texas A&M University School of Law.
I teach the course as an Adjunct Professor of Law beginning Fall 2026. It takes students from the international frameworks down to the documents an organization actually adopts: the ISO/IEC 42001 management system, the NIST AI Risk Management Framework, the EU AI Act and TRAIGA, and the liability questions that follow when a model is wrong. Students leave able to read a governance program and say what is missing.
Teaching Lawyers to Work With the Technology, Not Around It.
- AI Governance and Policy — Texas Bar CLE, Law in the Age of AI (2026)
- Inteligencia Artificial Aplicada al Derecho — Bexar County Courthouse Cross-Border Exchange (2025)
- Inteligencia Artificial en la Práctica de Patentes — Supreme Court of the State of Jalisco, Mexico (2024)
- Global Trends in Enforcement — UT 24th Annual Advanced Patent Law Institute (2019)
AI Governance: Law, Liability, and Regulation.
A casebook in progress for law school and executive programs, built around the same premise as the course — that the frameworks only matter once they become procedures somebody runs. Also forthcoming: a co-authored chapter in Relaciones Jurídicas Contemporáneas en el Contexto Internacional (CUTonalá 2026).
What I Am Asked to Teach.
For Boards
Ninety minutes on what the board is actually accountable for, what to ask management, and what evidence to expect.
For Legal Teams
A working session on AI in practice — governance obligations, privilege, contracts, and the technology underneath.
For Builders
What the regulation requires of the system, in the vocabulary of the people who have to implement it.