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Document extraction for legal workflows.

Turn contracts, filings and discovery packets into structured, validated data — even when documents vary across firms, jurisdictions and counterparties.

extracted.json · Legal
// extracting · contract_NDA_2025.pdf
  • parties Acme Corp / Beta SL 100%
  • effective_date 2025-04-15 100%
  • term 2 years 99.8%
  • governing_law Spain 100%
  • confidential yes 100%
  • termination clause 8.2 · ambiguous
0 contracts Verified · reviewed today · 98.9% accuracy

Powering document extraction for teams at

Legal teams drown in documents before they can do legal work.

Legal workflows depend on documents created by courts, clients, counterparties, regulators and internal teams — all using different templates, standards and formats. In practice:

  • Inconsistent contract layouts

    Clauses appear in different sections and orders across agreements.

  • Filings vary by jurisdiction

    Court documents shift structure across regions and courts.

  • Scanned and forwarded PDFs

    Quality degrades as documents are rescanned and forwarded.

  • Handwritten edits & redlines

    Key sections carry handwritten annotations and redlines.

  • Bundled case files

    Discovery packets combine dozens of unrelated documents.

  • Conflicting fields

    Missing or contradictory information slows review and risk assessment.

As case volume grows, manual review becomes the default — driving cost, risk and turnaround time.

Why legal automation fails outside the demo.

Legal documents don't follow clean templates. Clause structure shifts, key fields appear in different sections, files are merged and partially completed. Without evaluation and consistency checks, automation just shifts work downstream.

Raw inbound
Contract · NDA_acme_2025.pdf
Pleading · case_3829.pdf (jurisdiction shift)
Discovery · packet_847_mixed.pdf
Amendment · rider_handwritten.jpg
Compliance · gdpr_2025.pdf
Structured · validated
shipment.json
{
  "parties": "Acme Corp / Beta SL",  "effective_date": "2025-04-15",  "term": "2 years",  "governing_law": "Spain",  "jurisdiction": "Madrid",  "termination": "clause 8.2"
}
0manual reviews per packet

From discovery paperwork to structured legal data.

Invofox supports each stage by structuring documents before any data extraction begins — built for the inconsistent realities of legal paperwork.

  1. Step 01

    Intake & capture

    Ingest contracts, pleadings, discovery packets, compliance documents and correspondence from courts, clients and counterparties — across formats and jurisdictions.

  2. Step 02

    Document understanding & structuring

    Invofox splits, classifies and analyzes layout to identify document types, sections, clauses and key fields — even when layouts vary across firms or courts.

  3. Step 03

    Data extraction

    Extract entities, clauses, dates, parties, obligations and tables using OCRs, LLMs and layout-aware models tuned for real legal documents.

  4. Step 04

    Evaluation & validation

    Field-level accuracy, mismatch detection and consistency checks surface errors before data enters CLM, eDiscovery or compliance systems.

  5. Step 05

    Ready for production workflows

    Structured, validated, system-ready data for contract review, discovery, compliance and reporting — without manual reprocessing.

Built for legal reliability, not just OCR.

Legal workflows are document-driven. Contract review, discovery, compliance and reporting depend on accurate, structured data — in production environments where document errors create legal risk.

  • 01

    Automate document handling at scale

    Not just text extraction — full document pipeline.

  • 02

    Schema-based extraction

    Across contracts, pleadings and discovery packets.

  • 03

    Layout, structure & context

    Not just raw OCR output — clause-aware understanding.

  • 04

    Field-level accuracy metrics

    Measure accuracy before data is used downstream.

  • 05

    Surface mismatches & edge cases

    So contract analysis doesn't silently fail in production.

  • 06

    Continuously improving models

    Through controlled experimentation and feedback.

Structured data that fits your legal stack.

Invofox delivers structured, validated legal data through a plug-and-play asynchronous API with webhook support — connect to CLM, eDiscovery and compliance tools without rebuilding pipelines.

Invofox API webhooks · async
CLM Contract lifecycle
eDiscovery Document review
Compliance Risk & audit
DMS Document management
Legal ops Internal workflows
Invofox API Webhooks · async delivery
CLM Contract lifecycle
eDiscovery Document review
Compliance Risk & audit
DMS Document management
Legal ops Internal workflows
Plug-and-play API: no brittle pipelines, no per-template rebuilds.

Enterprise-grade security, independently verified.

Click on our certifications below to see the details.

Compliance
SOC 2 badge
SOC 2 Active
Type II · audited annually by AICPA

Our systems and controls are independently audited every year against the AICPA Trust Services Criteria — security, availability, processing integrity, confidentiality, and privacy.

Zero-retention

Process. Deliver. Erase.

Documents deleted right after delivery. No copies, no backups, no logs.

Opt-in · Only for Scale and Enterprise clients

No copies No backups No logs
Self-hosted

Run it on your servers.

Deploy Invofox inside your own infrastructure. Same API, your perimeter.

Only for Enterprise clients

On-prem VPC Air-gap
Want the full report? Audits, policies, sub-processors and the latest pen-test summary live in our trust center. Open trust center

Frequently asked questions.

~/invofox / faq.json
who.json
1
2 ··"question" "Who typically uses Invofox in legal workflows?"
3
4 ··"answer" "Legal, compliance and legal ops teams processing documents from multiple sources — courts, clients, counterparties, regulators. Teams often start with one specific workflow and expand over time."
5
Adoption who.json
main 0 errors 0 warnings UTF-8 LF JSON

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