Anthropic's safeguards framework shows embedded governance in action
Anthropic's safeguards architecture shows how legal frameworks become computational systems that process trillions of tokens while preventing harm in real-time.
Discovery, Not Design: How AI Systems Actually Develop
The Machine Intelligence Research Institute's latest piece makes a blunt point: nobody controls what these systems become. Engineers discover behaviors after the fact rather than designing them upfront.
How agentic AI prevents hallucinations without over-engineering validation
Agentic AI validates itself in real time, creating audit trails that help product teams build both reliable systems and the transparency needed for legal compliance when AI decisions need explanation.
The enterprise readiness gap that legal teams must navigate
Product counsel need to become infrastructure assessors, evaluating not just model capabilities but whether entire enterprise ecosystems can handle advanced AI before deployment.
Microsoft's Agent Factory and the governance gap in autonomous AI
Microsoft just released their Agent Factory framework, and it's forcing a rethink of how we approach AI governance. These aren't the AI tools…
When founders prototype with AI, product counsel must prototype with law
OpenAI's GPT-5 made "vibe coding" the new normal. When business leaders go from concept to working prototype in minutes, legal guidance needs to happen at prototype speed, not policy-document speed.
The Perplexity problem: when AI assistants challenge web infrastructure assumptions
AI systems won't fit our old categories, and our legal frameworks haven't caught up yet.
Why connection beats perfection in the age of AI acceleration
Research shows that teams optimizing for collaborative patterns—not individual star talent—consistently outperform, offering essential guidance for AI teams navigating rapid technological change.
