The reason many AG-office AI initiatives stall isn’t a weak business case. It’s that leadership is asking their people the wrong question about the value of AI.

Academics and journalists covering legal AI see things practitioners can’t. Here’s what three 2026 AI Visionaries from outside the firm say about education gaps, human judgment, and why the window to prepare for AI transformation is still open.

AI has its limits: human oversight, iteration, and client alignment remain critical. Let’s take a look at striking the right balance to ensure you’re getting all the ROI you can from your AI investments.

For any public sector office beginning to think seriously about AI for data review, the most important thing to understand is that you do not need to have everything figured out before you start.

Successful legal AI implementations depend on training, governance, a steady hand, and reassuringly, a renewed emphasis on expert judgment and critical thinking.

A new ruling out of the Northern District of California did not generate headlines about a court approving the use of AI for legal data review. In fact, that debate was never really up for discussion. Notably, that is exactly what makes it worth your attention.

Many AI Visionaries have found that successful AI implementations come down to some surprisingly grounded fundamentals: start small, define success, ask clear questions, and invest in your people as much as your tools.