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…
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.
Ultimately, the study serves as a crucial reality check. The goal isn't just to build an AI that can produce fluent text, but one that can reflect the complex, messy, and nuanced reality of human judgment.
"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
Mastercard's Agent Pay creates verifiable authorization trails for AI transactions, embedding accountability directly into payment infrastructure rather than treating it as an afterthought.
This deal aims to save millions in costs and provides a legal shield against copyright lawsuits from public data scraping. However, the move—executed post-strike—heightens the unresolved IP conflict over creator consent for AI training.