Turn M&A Agreements into Structured, Source-Verified Deal Terms Summaries
Why AI-powered deal terms extraction transforms M&A workflows
Source-Grounded Extraction
Every field (buyer, target, transaction value, closing conditions, etc.) is linked to the exact sentence in your original agreement. Click any field to see the source context—critical for legal review, audit, and compliance.
Structured Data Ready for Systems
Output is a clean JSON object with all key deal terms: buyer, target, transaction value, consideration, purchase price, closing conditions, termination provisions, fees, financing, and key transaction terms. Directly import to deal management systems or legal databases.
Automatic Field Mapping & Validation
AI identifies and normalizes deal terms even from complex legal language—handling varying formats and defined terms. Reduces manual data entry and eliminates transcription errors.
How to generate a structured deal terms summary in 4 steps
1. Upload your M&A document
Upload merger agreements, acquisition agreements, transaction agreements, or deal announcements. Scanned PDFs (OCR supported) and text files are also accepted.
2. AI scans for deal terms
Our AI detects buyer, target, transaction value, consideration, purchase price, closing conditions, termination provisions, fees, financing, and other key transaction terms—using natural language understanding tailored to legal and M&A terminology.
3. Review and verify each field
The generated JSON summary displays each field with a 'source' button. Click it to highlight the original sentence in your document—ensuring full traceability for legal review and compliance.
4. Export and integrate
Export as JSON, CSV, or Excel. Directly integrate with deal management platforms, legal databases, or analytics tools via API.
Built for accuracy, auditability, and speed in M&A analysis
Extract from complex legal agreements
Handles varying formats—merger agreements, acquisition contracts, deal announcements, and multi-page PDFs. AI reliably extracts structured fields even from dense legal language and defined terms.
Source verification at the field level
Each field—from transaction value to termination provisions—can be traced back to the original text. Disagree with an extraction? See the exact words that triggered it.
Interactive highlighting in source document
Click any field in the JSON summary and instantly jump to the corresponding sentence in your M&A agreement—perfect for legal audits, dispute resolution, and training.
Human-in-the-loop refinement
AI suggests fields, but you remain in control. Edit, add, or remove fields before finalizing the summary. Merge duplicate entries or correct misinterpreted data with ease.
AI Deal Terms Extractor vs Manual Deal Review
Manual Review
- • Hours of reading lengthy legal agreements
- • Prone to missed or misread terms
- • No traceability to source
- • Inconsistent note-taking and errors
Gentables AI Deal Terms Extractor
- ✓ Summary generated in minutes
- ✓ Captures every key term accurately
- ✓ Source-grounded verification
- ✓ Standardized JSON ready for systems
Who benefits from AI-extracted deal terms summaries?
M&A Lawyers & Legal Teams
• Accelerate contract review and due diligence
• Ensure no critical term is overlooked
• Improve consistency across transactions
Investment Bankers & Corporate Development
• Quickly compare deal terms across transactions
• Validate key economics and closing conditions
• Reduce manual data entry errors
Private Equity & Venture Capital
• Review target company agreements efficiently
• Extract key terms for investment memos
• Support compliance and audit with traceable evidence
Frequently Asked Questions about AI M&A Deal Terms Extractor
Stop manual deal terms review. Extract with confidence.
