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DocuExtract

Legal

Contract clauses + citations + obligations. Per-jurisdiction.

Law firms, in-house legal teams, and legal-tech platforms extract structured data from contracts, court filings, and statutes. Pre-built clause libraries, citation parsing in Bluebook + ALWD format, obligation tracking with date math, jurisdiction tagging. Lower-friction than building your own; cheaper than per-seat legal AI tools.

Document types

What we extract for legal teams.

  • Contracts (commercial)

    NDAs, MSAs, SOWs, employment agreements. Clauses extracted as structured fields with citation back to source.

  • Court filings

    Complaints, motions, briefs, orders. Caption parsing, citation extraction, holding identification.

  • Case law

    Court opinions with citation parsing (Bluebook + ALWD). Holdings, dicta, factual statements distinguished.

  • Leases

    Commercial + residential leases. Term, rent escalation, renewal options, default clauses extracted as structured fields with auto-computed dates.

  • Regulatory filings

    10-Ks, 8-Ks, S-1s, proxy statements. Material event extraction, risk-factor tagging, executive compensation.

  • Patents + IP

    Patent claims, prior art references, prosecution history. Multi-page table aggregation for claim charts.

Built for the workflow

Capabilities that matter in legal.

  • Clause library

    40+ pre-built clause types (indemnification, limitation of liability, governing law, force majeure, termination, IP assignment, etc.). Each extracts the substantive text + key parameters as separate fields.

  • Citation parsing

    Bluebook + ALWD format both supported. Parses case citations, statutory citations, regulatory citations into structured components (volume, reporter, page, year, court).

  • Obligation tracking

    Extract "Party A shall do X by Y date" patterns. Auto-compute dates from relative anchors ("90 days after closing"). Export to calendar / contract-management system.

  • Jurisdiction tagging

    US federal + 50 states, plus India, UK, EU, Singapore. Citation parsing locale-aware; governing-law clause extraction returns ISO codes.

The addon

Legal pack

Attach to any paid plan. $249/mo on any paid plan · included Enterprise. Vertical-specific templates, compliance gates, and field types — all integrated into the same DocuExtract platform you already use.

Pre-built clause library
Bluebook + ALWD citation parsing
Cheaper than Spellbook per-seat pricing
Verbatim grounding — citations link to source

FAQ

Questions legal buyers ask.

How does this compare to Spellbook / Kira / Harvey?
Different value prop. Spellbook is $99/user/month for inline contract drafting (Word plugin). Kira is $50K+/year for clause extraction during diligence. Harvey is $150K+/year for legal research. DocuExtract Legal pack is $249/month flat — it ships the underlying clause extraction + citation parsing + obligation tracking as an API + dashboard, not a seat-based product. Best for in-house legal ops automating contract intake, not for outside-counsel drafting.
Which jurisdictions does the citation parser handle?
US federal courts + all 50 states (Bluebook + ALWD). Indian Supreme Court, High Courts, Tribunals (Indian Law Institute citation format). UK + EU (OSCOLA + ECLI). Singapore (Singapore Academy of Law). Adding a jurisdiction = adding a citation grammar; talk to consulting for unusual jurisdictions.
Can I plug in my own clause library?
Yes — the 40+ built-in clauses are starter templates. Add your own via the template builder. Custom-built clauses can be exported + shared back to the marketplace if you choose; we don't take a cut on legal-pack templates.
Does it integrate with iManage / NetDocuments / SharePoint?
Via webhook + API today. Native iManage connector on the roadmap (talk to consulting if it would unblock a deal).
How accurate is clause extraction on real contracts?
92–97% F1 on the 40+ built-in clause types when tested on EDGAR + standard contract corpora. Real-world accuracy depends on contract format + clause language; validate on a sample before committing to high volume. Verbatim grounding means every extracted clause links back to the exact source paragraph — easy to spot-check.
What about ediscovery / litigation production?
Not the v1 use case. The Legal pack is geared toward contract intake + case-law research + regulatory filings. For ediscovery scale (millions of docs, predictive coding), talk to consulting about a custom deployment.

Run your worst legal documents through the free tier.

500 credits/month is enough to evaluate against real work. See the actual accuracy before committing to a plan.