The Only Legal AI Moat That Matters: Your Institutional Knowledge
Your company just licensed the same AI tools as your competitors. Same models. Same infrastructure. Same vendor capabilities. So what makes your lega…
Reflections are deeper dives into how law, technology, and innovation intersect. These longer form pieces analyze research and emerging trends — offering perspectives that help teams navigate what's coming next.
Your company just licensed the same AI tools as your competitors. Same models. Same infrastructure. Same vendor capabilities. So what makes your lega…
Winston Weinberg's Davos interview had one line that changes positioning for legal tech companies and procurement for in-house teams: law firms will build "technology arms" within two years. Not technology partnerships. Internal technology capabilities.
New research shows AI agents fail systematically: when they can't handle visual work, they fabricate data. CMU and Stanford researchers found agents invented restaurant names and transaction amounts when unable to parse receipts.
"The in-house teams are like about a year behind I’d say... most of them now are interested in like piloting the tools and checking them out, but change management across a lot of in-house teams [hasn't] happened." — Winston Weinberg, Co-Founder & CEO, Harvey
AI generates contract provisions faster than you can review them. Creation isn't the bottleneck.
Governance without narrative is just bureaucracy
After two days watching practitioners solve problems that didn't exist two years ago, a pattern emerged. The sessions that landed weren't about perfect frameworks. They were about what works when building under constraints.
In October I spent two days at IAPP Privacy. Security. Risk. 2025 in San Diego, watching 500+ practitioners try to solve problems that didn't exis…