Due Diligence Data Room Review

• Corporate and M&A Partner
• Transaction Associate
• General Counsel (Acquirer)
• Private Equity Legal Head

In an acquisition, investment or financing, the target uploads hundreds or thousands of documents to a virtual data room, often late and in no particular order. The legal team has to map them to the request list, find missing items, review material contracts and corporate records, and produce a report before signing, usually with a large junior team working long hours.

We build a diligence assistant that connects to the data room export, classifies every document and maps it to your request list, so the team sees on day one what is present, partial or missing. For each category it extracts agreed fields: for contracts, term, termination, change of control, exclusivity, assignment and liability; for corporate records, board and shareholder approvals and filings; for licences, issuing authority, validity and conditions; for litigation, forum, stage and amounts. Possible red flags are queued for associates with citations. Confirmed findings populate DD report tables, and gaps become a follow-up query list for the target.

• Maps data room documents to your request list and shows present, partial and missing items
• Category-specific extraction for contracts, corporate records, licences, employment, IP, property and litigation
• Flags change of control, consent, exclusivity and termination triggers across contracts
• Checks corporate approvals and statutory filings against what the transaction needs
• Drafts DD report tables and a query list from confirmed findings
• Matter-isolated questions over the data room, answered with document and page citations

1. 01Connect the data roomDocuments are loaded from the VDR export or API into a matter-isolated workspace.
2. 02Map to the request listEach document is classified and matched to items on the diligence request list.
3. 03Extract by categoryAgreed fields are extracted for contracts, corporate records, licences, litigation and other categories.
4. 04Flag issues and gapsRed flags and missing items are queued with citations.
5. 05Associate and partner reviewAssociates confirm or dismiss each flag, and partners review material issues.
6. 06Draft outputsConfirmed findings fill DD report tables, and gaps become a query list for the target.

1. Ingestion
   • VDR export or API connector
   • Matter-isolated document store
   • Request list import
2. Classification and mapping
   • Document classifier by DD category
   • Request list matcher
   • Duplicate and version detection
3. Extraction
   • Category schemas for contracts, corporate records, licences and litigation
   • Clause-level red-flag detection
   • Citation linking to page
4. Review
   • Associate review queue
   • Partner escalation view
   • DD tracker
5. Outputs
   • Report table generator
   • Query list for the target
   • Audit trail of findings

Associates confirm every flag and every extracted field that goes into the report, and partners decide which issues are material and how the transaction documents should deal with them. The report is written and signed off by the lawyers.

• Virtual data room platforms (export or API)
• Document management system
• Microsoft Word and Excel for report tables
• Matter management system
• Secure collaboration workspace

• Workspace isolated per matter, with access limited to the deal team
• Every finding cites a document and page
• No finding enters the report without associate confirmation
• Data deleted or returned at matter close, as agreed
• Models do not retain or train on data room content

• Data rooms often include employee and customer personal data; designed to support DPDP Act 2023 obligations and, for cross-border deals, GDPR.
• Confidentiality undertakings given to the target apply to the AI workspace as much as to the lawyers.

• Legal

  Contract Clause Extraction and Risk Flags

  Extract key clauses, dates and obligations from executed and incoming contracts, compare them with your playbook and flag deviations, with every item linked to the clause it came from.

• Legal

  Confidentiality and Privilege Leakage Testing for Legal AI

  Test your legal copilot, contract tool or client chatbot for cross-matter leakage, privilege exposure, prompt injection hidden in documents and weak access controls, with evidence and fixes.

• Legal

  Case File Summarisation and Chronology

  Turn a litigation file of pleadings, affidavits, exhibits and orders into an indexed list of dates and events, a party and witness index and issue summaries, each line linked to its page.

• Capital Markets & Wealth Management

  Private Markets Fund Document Extraction

  Read capital calls, distribution notices, capital account statements and LPAs from many GPs into structured records, with roll-forward checks and wire-instruction change alerts.