Speed You Can Defend: Why Accuracy Is the Real Engine of Faster Due Diligence

How deterministic AI accuracy turns complex due diligence from a rechecking exercise into a review lawyers trust.

Complex due diligence forces a tradeoff that never feels fair. Deal timelines demand speed, but a single missed change-of-control or assignment clause can unravel a transaction, expose the client, and put the firm's reputation at risk. The pressure only sharpens now that clients refuse to pay for work AI can automate, and high-volume, time-consuming due diligence sits at the top of that list. So, firms reach for AI to move faster. Yet probabilistic tools still require every output to be checked more thoroughly, and the speed clients paid for quietly disappears because of the verification time that is created.

According to the Future of Professionals Report 2026, 67% of legal professionals worry that the cost of human verification and oversight now outweighs the efficiency AI is supposed to deliver. That is the paradox this session takes apart. The shift is not faster than AI. It is trusted AI, everywhere legal work gets done, so that a deterministic engine and a lawyer's judgment reinforce each other inside the tools the team already uses, and the speed a firm is promised is the speed it can actually stand behind.

What You'll Take Away

• A practical framework for judging accuracy in any AI due diligence tool, so a defensible output is easy to tell from a plausible one
• Why single-model, probabilistic AI underdelivers on high-volume, high-stakes reviews, and what multi-layer accuracy does differently
• How M&A and transactional teams capture review speed without inheriting new risk, so associate hours shift from searching for issues toward the judgment work that deepens client trust and wins the next deal