Decisions, frameworks, and what we learn from every transaction we touch. Signed by the operator who wrote them.
Ask any deal team that has piloted an AI document review tool and you will hear the same two reactions, usually in the same meeting. The first: "It read four ...
Read →Ask a deal team where their timeline went, and the answer is rarely the model, the negotiation, or the lawyers' markups. It is the data room. Somewhere between ...
Read →Two years ago, the pitch decks said AI would eliminate diligence Eighteen months ago, the pilots started. Now, in mid-2026, the invoices have arrived — and ...
Read →Most funded deals do not fall apart at the term sheet They stall in the data room — in the six to eight weeks between a signed LOI and a close that was ...
Read →Every due diligence platform produces findings. The better ones attach a number to each finding — a confidence score. But remarkably few practitioners stop to ...
Read →Every deal team knows the scenario. Term sheet signed, exclusivity clock ticking, and the data room drops with 4,000 documents. The next four to six weeks will ...
Read →For thirty years, the default answer to "who runs the financial and legal diligence" was a Big Four firm or a brand-name advisory shop. The logic was sound: ...
Read →Every year, billions of dollars in M&A transactions rely on due diligence to uncover risks before they become liabilities. And every year, a growing number ...
Read →How boutique advisory firms can handle more deal flow without hiring, using expert-supervised AI to scale due diligence capacity.
Read →Why expert-supervised AI delivers both speed and accuracy where pure automation tools fall short in document review.
Read →Most first calls are with a founder. We respond within one business day. NDA-protected, no obligation.