MIT study of 2,310 participants reveals AI collaboration increases communication 137% while reducing social coordination costs, creating new opportunities and risks for product teams.

Law schools teach AI verification skills through hands-on training. Yale students build models then hunt for hallucinations. Penn gives 300 students ChatGPT access. Early movers create graduates who understand AI capabilities.

Apollo Research documents how AI companies deploy advanced systems internally for months before public release, creating governance gaps with serious competitive and legal implications requiring new frameworks.

Companies that succeed with AI agents aren't just automating tasks—they're choosing between rebuilding workflows around agents or adapting agents to existing human patterns. The key is knowing which approach drives adoption.

University of Washington framework argues AI agent autonomy should be a deliberate design choice separate from capability, proposing five user role levels from operator to observer.

Reasoning AI promises better decisions, but the most successful implementations happen when leaders resist the urge to move fast and instead create space for teams to think deeply about what really matters.

A new analysis from the Future of Privacy Forum questions assumptions about how Large Language Models handle personal data. Yeong Zee Kin, CEO of the…

While firms debate ethics opinions, the technology is already reshaping how legal work gets done, priced, and delivered.