Reflections

I rebuilt the project from scratch to understand what it actually measures, where it's useful, and where it breaks down.

AI and platform engineering are converging. For governance teams, that means the platform — not the policy doc — is where your AI guardrails actually live. The architecture matters.

Agentic AI shifts software delivery from applications to automated workflows. The business process and the code become the same thing — which means governance needs to shift too.

Legal AI vendors should publish what they refuse to build, not just what they ship. Architectural constraints aren't limitations — they're competitive differentiators. The first privilege breach will prove who got this right.

You wouldn't tell a first-year associate "do law" and expect good results. So why are attorneys doing exactly that with AI agents? Dan…

Headlines proclaim that AI will change everything overnight—jobs, society, the whole works. The technology is powerful, no question. But some experts want us to slow down and look past the hype.

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.