Deploying an autonomous AI in your practice isn’t using a tool—it’s appointing an agent, and you’re liable for what it does within its authority.

The real disruption isn’t that AI replaces lawyers—it’s that it destabilizes per-seat software pricing, automates commoditized legal work, and gives clients new leverage to challenge how legal fees are structured.

Even the perfect prompt cannot rescue bad context engineering—because what your AI sees, structures, and prioritizes behind the scenes determines your output at least as much as the question you type.

AI has made BigLaw faster and more profitable—but not cheaper. Instead of expanding access to justice, efficiency gains are flowing upward, leaving legal costs high and the justice gap intact.

Part 3: AI note-takers deliver real efficiency gains, but when vendors retain or reuse conversational data, they expose every meeting participant to escalating wiretap, privacy, and biometric liability.