AI is no longer just a background tool. It’s drafting contracts, reviewing discovery, sending emails, negotiating deals, and triggering real-world consequences. In this episode of That Tech Pod, Laura and Kevin unpack what happens when AI starts behaving less like software and more like an employee. If an AI clause costs a company millions, misses privileged evidence, or sends sensitive information to the wrong place, who’s actually on the hook?

The conversation moves from AI as a de facto junior associate to the harder questions around liability, governance, and oversight. They explore why AI can have autonomy but no accountability, how risk gets assigned when things go wrong, and why companies are almost always left holding the bag. Then the discussion takes a turn: what happens when AI isn’t just assisting humans, but coordinating them, managing tasks, and using people as a quality-control layer?

The episode closes with a bigger debate about power, psychology, and work itself. If software is now supervising humans, assigning tasks, and shaping outcomes, are organizations ready for that shift? And if AI is doing the work while humans carry the legal risk, is that imbalance sustainable? The most dangerous AI may not be the one that replaces people, but the one that quietly manages them.