Manual extraction slow
Reading 200 contracts for key dates takes days.
ChateFirm
HAQQ FEATUREDocument Extraction
Key terms, dates, parties, obligations — extracted from any doc, at scale.
11,000+ law firms100,000+ people33 countriesLegal AI ChateFirm
Problem
What's slowing you down
Spreadsheet errors
Manually copied data has typos.
Extraction tools generic
Built for finance. Bad for legal.
Custom fields needed
Every matter has different fields to extract.
OCR quality varies
Scanned old contracts = garbage in.
Solution
How HAQQ solves it
Legal-trained extraction
Parties, dates, amounts, clauses — extracted accurately.
Configurable fields
Define any field to extract.
Batch at scale
Thousands of docs at once.
Advanced OCR
Handles scanned and poor-quality images.
Export anywhere
CSV, Excel, matter system.
Platform
Extract across everything
Document Extraction
Pull out key terms, dates, parties, and obligations from any document. Data extraction at scale.
Document Comparison
Compare contracts and documents intelligently. Beyond redlines - understand what changes actually mean.
ai-legal-assistant
Available inside HAQQ across chat, mobile, and eFirm workflows.
Contract Review
Review contracts in minutes, not hours. AI that spots issues, flags risks, and suggests improvements.
Workflow
How extraction works
1
Upload docs
Bulk import from VDR, Drive, or Box.
2
Define fields
Pick or create fields to extract.
3
Run extraction
Thousands in minutes.
4
Review and correct
Confidence-ranked results.
5
Export
CSV, Excel, or direct to matter.
Compare
Which option fits best?
ChateFirm
Document Extraction
Key terms, dates, parties, obligations — extracted from any doc, at scale.
eFirm
AI Due Diligence
Extract key terms, flag risks, and surface issues — at M&A scale.
eFirmChatMobile
AI Contract Review
AI that spots issues, flags risks, and suggests improvements — in any jurisdiction.
FAQ
What formats?
PDF, Word, Excel, scans.
Accuracy?
Typically 95%+ on well-formatted English legal docs. Lower on scanned and non-English.
Custom schemas
Fully — define fields in natural language or schema.
Table extraction
Yes — complex tables preserved.
Next
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