Google research shows AI models that simulate internal debates dramatically outperform those that reason in monologue. For governance teams, the implication is clear: if dissent drives accuracy, hiding the chain-of-thought undermines trust.

RAG didn't die — it got rebranded as "context engineering." Kinda...

AI agents are moving from retrieving data to building memories about users. Most privacy frameworks weren't designed for that shift — and the gap is widening fast.

What compliance teams haven't figured out yet is that they own this problem.

2026 isn't about new AI capabilities — it's about stabilizing the ones we already have. For product counsel, governance built on shifting tools is governance built on sand.

The authors suggest treating AI agents as "legal actors" — entities that bear duties — without granting them legal personhood.

Contextual AI's Agent Composer makes the case that the real enterprise AI bottleneck isn't the model — it's context, auditability, and governance baked into the infrastructure from day one.

Enterprise AI doesn't need models that can do everything. It needs models scoped to the problem. Constraint isn't a limitation — it's a governance feature.