Extract the field and show the clause behind it.

Extraction agents pull entities, clauses, and fields from unstructured documents while retaining links to the source passages used.

Solution

Documents in, structured data out

  • Classification agents auto-tag documents by type, topic, or taxonomy.
  • Extraction agents pull entities, clauses, and structured fields.
  • Every extraction cites the source passage it came from.

What automated classification and extraction looks like

Manual tagging and data entry are difficult to scale. Extraction agents make the work repeatable, scheduled, and traceable to source evidence.

01

Classification that works at scale

  • Auto-tag documents by type, department, intent, or custom taxonomy.
  • Classification agents run on schedule against new content in your collections.
  • Outputs drive downstream workflows: routing, alerting, or further extraction.
Multiple agents with classification and extraction task-type badges
02

Extraction that cites its sources

  • Pull named entities, key clauses, dates, amounts, and structured fields from unstructured documents.
  • Every extracted field includes a citation to the source passage.
  • Blueprints for common patterns: contracts, invoices, medical records, regulatory filings.
Extracted data with cited source passages for verification
03

From documents to structured data

  • Configure agents through the dashboard or API without standing up a separate model pipeline.
  • Chain extraction with classification: first tag, then extract, then validate.
  • Outputs are versioned, auditable, and retrievable via API.
Extraction agent configured to pull structured fields from contracts

What this looks like in a product

An extraction agent processes new contracts and pulls key terms

New contracts are ingested into the collection. The extraction agent runs, pulls structured fields, and publishes results with citations.

  • The agent extracts key terms, dates, and amounts, reducing page-by-page review.
  • Every extracted field cites the exact clause it came from.
  • Structured output is available via API for integration with downstream systems.

Example user experience

A legal ops manager queries extracted contract terms

The agent already processed the batch. The manager gets structured data with citations.

Question

What termination clauses are in the contracts uploaded this week?

Extracted results

Three contracts contained termination clauses: Acme Corp (30-day notice, §12.1), Beta Ltd (90-day notice with cure period, §8.3), and Gamma Inc (termination for cause only, §15.2).

  • Documents processed: 12
  • Fields extracted: 47
  • Agent: Contract extraction agent

An AI that shows its work.

Cited answers. Controlled context. A clear path from evaluation to production.

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