A typical M&A due diligence process ingests 10,000–50,000 documents. Junior analysts spend 60–70% of their time on extraction tasks with no judgment component. AI now handles this at accuracy levels that meet or exceed junior analyst baselines.
M&A due diligence has a hidden labor cost that does not appear in the advisory fee. Junior analysts spend the majority of their time on tasks that require information retrieval and formatting, not judgment: pulling key terms from NDAs, flagging change-of-control clauses, summarizing IP schedules, extracting headcount data from HR files. This work is necessary and must be accurate, but it does not require the seniority of the people doing it.
Multimodal LLMs fine-tuned on legal and financial document types now perform these extraction tasks at accuracy levels that meet or exceed junior analyst baselines — with the additional advantages of speed (thousands of documents in hours) and auditability (every extracted data point is traceable to the source document and page). This does not replace the senior analyst. It frees them to focus on the judgment-intensive analysis that actually drives deal outcomes.
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