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    3. Document Extraction
    ChateFirm

    HAQQ FEATURE

    Document Extraction

    Key terms, dates, parties, obligations — extracted from any doc, at scale.

    Start FreeSee It In Action
    Doc Extraction

    AI-powered extraction

    2.1K
    Docs Processed
    847
    Terms Extracted
    75%
    Time Saved
    15,000+ law firms100,000+ people80+ countriesLegal AI ChateFirm
    The bottleneck

    What's slowing you down

    Manual extraction slow

    Reading 200 contracts for key dates takes days.

    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.

    What HAQQ does about it

    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.

    The toolkit

    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

    An AI assistant trained specifically for legal work. Research, draft, and analyze with an AI that understands law.

    Contract Review

    Review contracts in minutes, not hours. AI that spots issues, flags risks, and suggests improvements.

    From question to cited answer

    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

    Not sure which one fits?

    ChateFirm

    Document Extraction

    Key terms, dates, parties, obligations — extracted from any doc, at scale.

    eFirm

    AI Due Diligence

    A data room with thousands of documents and a signing date two weeks out. HAQQ reads every contract, extracts the deal-moving terms — change of control, assignment, indemnity caps — and surfaces the risks in hours, not weeks.

    eFirmChatMobile

    AI Contract Review

    A client just forwarded a 40-page supply agreement they want signed by Monday. HAQQ reads it against your firm's standard positions, flags every risk with a cited reason, and returns a redline in minutes.

    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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    eFirm

    AI Due Diligence

    A data room with thousands of documents and a signing date two weeks out. HAQQ reads every contract, extracts the deal-moving terms — change of control, assignment, indemnity caps — and surfaces the risks in hours, not weeks.

    See the workflow
    Features
    ChateFirm

    Document Comparison

    Beyond redlines. AI that explains what changed and why it matters.

    See the workflow
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    HAQQ for Paralegals

    Doc organization, task tracking, drafting support — all AI-powered.

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    humans.txt·lawyers.txt·security.txt
    EXTRACTED FROM 154 CONTRACTSContractCounterpartyGoverning lawValueMaster Services Agr.Acme CorpNY$2.4MSaaS Order FormGlobex LtdDE$860KReseller AgreementInitechUK$1.1MExtracting fields — 96 of 154
    Review ProgressUpdated 2m agoVista TechOVERALL COMPLETION72%BY PRACTICE AREA4Corporate24 / 24 contracts100%Employment13 / 20 contracts65%Real Estate0 / 16 contracts0%IP & Technology0 / 12 contracts0%RMA3 reviewers active
    Summarize Document with ConditionsFile uploadOutputfile_uploadPromptOutputmodel_responseConditionalOutputbranchIf matchElse