Use Case · Legal & Tax
Due Diligence
Automated document review for M&A transactions. AI agent analyses hundreds of documents, extracts key facts, identifies red flags and produces structured reports.
Why Due Diligence Is a Lever
Mountains of documents instead of deal advice
A typical M&A due diligence covers 500-2,000 documents. Contracts, annual accounts, shareholder resolutions, employment contracts, leases, licences, permits, litigation. Every single one must be read, assessed and incorporated into an overall report.
A DD team of 4-6 lawyers needs 3-6 weeks for this. At £200-400 per hour, the document review alone generates costs of £150K-300K per transaction. And red flags still get missed on a regular basis, because after the hundredth lease, attention wanes.
The real problem: the intellectually valuable work, risk assessment, deal advice and negotiation strategy, gets squeezed because the team is drowning in documents. The transaction does not wait, time pressure mounts and quality suffers. This is not a capacity problem. It is a process problem.
How the Process Changes
Before / After
per due diligence
The Solution in Detail
How We Automate Due Diligence
01
Data Room Ingestion & Classification
The AI agent connects to your data room (Intralinks, Datasite, SharePoint or other), reads all documents and classifies them automatically: contracts, annual accounts, shareholder resolutions, employment contracts, permits, litigation.
ABBYY Document Intelligence for OCR and classification. Custom models for legal document types. Automatic language detection for multi-jurisdictional deals.
02
Key Fact Extraction
From every document, relevant facts are automatically extracted: contracting parties, terms, notice periods, change-of-control clauses, liability caps, jurisdiction, material obligations. All in a consistent structure, regardless of document format.
NLP models trained on M&A-relevant data points. Extraction from PDF, Word and scans. Automatic cross-referencing between documents.
03
Red Flag Detection
The AI agent checks every extracted fact against your DD review checklist and an experience database. Red flags are automatically categorised and prioritised.
Rule-based checking against configurable checklist. ML-based anomaly detection. Historical comparison with previous DD projects.
04
Report Generation & Review
The AI agent produces a structured DD report draft: executive summary, findings by category (corporate, commercial, employment, real estate, IP, litigation), red flags with context and recommended actions. The team reviews, supplements and finalises.
Automatic report generation in Word/PDF. Integration with your report templates. Track-changes enabled for partner review.
Results
What Due Diligence Automation
Typically Delivers
70%
Fewer missed
red flags
95%
Red Flags
€100k+
transaction
5x
for parallel deals
These figures are based on averages across our clients. Your specific results will depend on deal volume, complexity and existing process.
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AI agent monitors deadlines across all matters, identifies dependencies, escalates automatically.
Ready?
How many due diligence projects are you running in parallel?
Let us calculate in 30 minutes what DD automation would deliver for your firm, in days, in pounds and in deals you could take on additionally.
No sales pitch. Just an honest assessment.
120+ Clients. 100% Satisfaction. 7 months to Profitability.
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Calculate concrete ROI
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Define timeline and next steps
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