How to Run an AI-Assisted Due Diligence Review in Six Weeks
A week-by-week operating model for mid-market M&A: data room triage, clause extraction, exception handling, and the red flag report the deal team will actually read.
Materiality thresholds, one-line findings and a clear owner per issue. A structure that survives contact with a deal committee.
A due diligence report that runs to two hundred pages will be read by one person, briefly, on the way to a meeting. Structure it for that reader.
The executive summary should contain no more than five findings: those that would change the price, the structure, the warranties required, or the decision to proceed. One line each, with the consequence and the recommendation. If everything is a red flag, nothing is.
Define the scale in the report itself. A workable version: Critical — may prevent completion or requires a price adjustment; High — requires specific contractual protection; Medium — requires post-completion remediation; Low — noted for completeness. Then apply it consistently, which is easier said than done across six reviewers and worth checking before the report goes out.
Every finding needs a named person responsible for the next step, and the next step should be an action rather than “to be discussed”. Findings without owners are the ones that reappear as post-completion problems.
“Several customer contracts contain change-of-control consent rights” is not actionable. “Eleven agreements representing 34% of FY25 revenue require counterparty consent, of which four permit consent to be withheld at absolute discretion” is. Quantify against a denominator the deal team already uses.
What was reviewed, how, what was sampled, what was excluded, and what could not be assessed because the document was not provided. Gaps in the data room are findings in their own right, and listing them protects everybody — not least because the question after completion is always about what was not seen.
The detail belongs in a structured schedule indexed to source documents, ideally delivered as data rather than as prose so the deal team can filter it. Nobody reads an appendix; people search one.
This article is general information about legal technology and practice, not legal advice, and it does not create a lawyer–client relationship. JuriPro is a technology company, not a law firm. Take advice from a qualified lawyer admitted in the relevant jurisdiction before acting on anything here.
Legal Research Lead, JuriPro
Former law librarian and knowledge manager; curates the primary-source corpora behind the Legal Research Assistant.
A week-by-week operating model for mid-market M&A: data room triage, clause extraction, exception handling, and the red flag report the deal team will actually read.
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