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Case study

Deal capacity doubled: an M&A firm automates its documentary due diligence

35 solicitors, 4,000 documents per deal, data rooms to review under time pressure: this mid-market firm turned document review into a competitive advantage.

Context

Industry

Mid-market corporate law firm (M&A, private equity), Dublin

Volume

12-18 M&A deals per year, 2,000-4,000 documents per deal

Tools

Intralinks and Datasite data rooms, CRO, Revenue Online Service

Due diligence team

6 dedicated associates

The problem

Each M&A deal requires exhaustive document review. Associates spent 2 weeks per deal checking thousands of documents in data rooms, under constant timing pressure.

  • 2 full weeks of document review per M&A deal
  • High error risk: one missed anomaly can cost millions
  • Poorly organised data rooms, missing or misfiled documents
  • Timing pressure: deals don't wait, and neither do competitors
  • Exhausted associates, high turnover on due diligence teams

The solution

CheckFile.ai automatically extracts, classifies, and cross-validates data room documents: constitutions, annual accounts, key contracts, authorisations, regulatory compliance.

  • Automatic extraction of key data from each data room document
  • Cross-validation between documents: constitution vs CRO extract, accounts vs auditor reports
  • Detection of missing documents against a standard M&A checklist
  • Prioritised anomaly report for associates and partners

The results

85%
time saved on document review
2 weeks reduced to 2 days per deal
12
critical anomalies found on first deal
Errors invisible to manual review
12โ†’24
deals handled per year
Capacity doubled without hiring
0
post-closing document error
Zero post-closing claims since adoption
โ€œOn our first deal with CheckFile, the tool detected an inconsistency between the target's constitution and CRO extract that could have blocked the closing. Our associates had missed it after 3 days of review. There's no going back.โ€

M&A Partner

Mid-market corporate law firm, Dublin

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