Document due diligence
In M&A deals or audits, analysing hundreds of data room documents takes place under heavy time pressure. Benchmarks published by Kira Systems put the time saved on document review in mergers and acquisitions at 60 to 80%, as manual sampling is otherwise the only possible answer to high volumes.
The automated workflow
A structured process for fast, reliable results.
Data room ingestion
All data room documents (contracts, minutes, reports, correspondence) are imported in bulk.
Automatic classification
Documents are categorised intelligently by type, theme and risk level.
Critical information extraction
Commitments, pending litigation, guarantees and unusual clauses are identified automatically.
Summary report
A structured report with a risk score by category and recommendations.
Tangible results
Up and running in 4 to 6 weeks
From specification to deployment, with visible results from the first few weeks.
Frequently asked questions: Document due diligence
More workflows: Legal
Contract data extraction
Manually capturing key data from PDF or scanned contracts (dates, amounts, parties, specific clauses) to feed tracking spreadsheets ties up people on low-value work, with an error risk that grows with volume.
Contract clause comparison
Checking clauses proposed by third parties against the company's mandatory standards means a point-by-point comparison on every incoming contract. This painstaking check monopolises lawyers, and its quality slips as soon as the flow picks up.
Generating dispute letters
Writing penalty and dispute letters means cross-referencing a contract's terms with standard templates. Legal teams spend considerable time on formatting and cross-checks, whereas the value of the letter lies in its argument and in when it is sent.
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