Helping organizations build real AI posture — education, technology, and governance — not just paperwork.
The framework
Most organizations start — and stop — with a policy. Real AI posture is built across three fronts, and each one fails without the other two.
Policies no one understands don't change behavior. Readiness starts with people — training boards, executives, and staff to understand what AI actually does, where it fails, and what responsible use looks like in their daily work.
You can't govern tools you haven't assessed. Readiness means knowing your technical posture — which AI systems are in use, what data they touch, how vendors handle it, and whether your controls match reality.
Governance makes readiness durable — frameworks, policies, and compliance mapping that fit how your organization actually works. On its own, it's paperwork. On top of education and technology, it's posture.
Insights
Outlines a three-pillar framework for responsible AI adoption in legal organizations — the rules (governance), the tools (evaluation and selection), and the people (training) — arguing that weakness in any one pillar undermines the others.
How AI hallucinations — plausible but fabricated output, including fake case citations — expose lawyers to sanctions and malpractice risk, with lessons from Mata v. Avianca, error-rate research, and practical verification strategies.
The book
A practitioner's guide to what AI actually changes in patent practice — written for lawyers who want the benefits without the malpractice risk.
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