Companies throwing AI agents at problems without oversight. 72% adoption, 75% governance concerns. Smart approach: experiment messy, add controls when agents need to coordinate with each other.
Agent commerce conversation heavy on vision, light on working systems. DeWitt's framework offers a practical middle path—not betting on immature technology but positioning for a customer category that will transact at scale.
Privacy isn't about access control anymore when your AI agent can infer, interpret, and act on patterns you never explicitly shared. The real exposure happens in the inference layer—what the AI concludes and synthesizes based on behavioral patterns.
This feels like watching the same movie on repeat.
California's AI-generated bar exam questions created a budget crisis and credibility nightmare. When AI fails in professional licensing, the consequences reshape entire institutions—not just embarrass individual lawyers.
Major law firms are moving fast on AI integration, and the competitive implications are significant. This comprehensive survey reveals how firms like…
Box's CTO breaks down agentic security into practical categories that help legal teams think through access controls, action authorization, and manipulation detection for autonomous systems.
MIT research shows 95% of enterprise AI pilots fail due to workflow integration problems, not model quality. Success requires vendor partnerships and back-office focus over internal builds.
