When the precedent hasn’t been set yet, we get to write it
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.
