Schema-first automation

Custom Extraction for Ops and Legal

Define your schema once. Get consistent structured outputs every run.

Who this delivers the biggest impact for

Legal ops, compliance, and back-office teams managing high-variance documents

Core problem

Manual review breaks at scale when every document format looks different.

  • Versioned schemas and prompts for controlled rollout
  • Enums, validation hints, and regex constraints
  • Confidence and citations for review-safe decisioning

What you get in production

  • Structured JSON with explicit schema version context
  • Field-level confidence and source anchors for QA
  • Reusable presets for recurring operational workflows

Live sample output

Contract packet -> controlled schema fields

Input: MSA + order form set from two counterparties.

  • agreement_type: "Master Services Agreement"
  • termination_notice_days: 45
  • governing_law: "Delaware"

Schema constraints plus citations keep legal review fast and audit-safe.

How it works for this workflow

Step 1

Model required fields

Define obligations, totals, dates, parties, and identifiers in one contract.

Step 2

Execute repeatably

Apply the same schema version across incoming format variability.

Step 3

Improve continuously

Use confidence and source anchors to refine quality over time.

API acceleration path

Version schemas via `/api/v1/schemas` and execute repeatable runs via `/api/v1/extractions/runs`.

POST /api/v1/uploads/init
PUT /api/v1/uploads/direct/{key}
POST /api/v1/documents
POST /api/v1/jobs
GET /api/v1/documents/:id/outputs

FAQ

Can we keep multiple active schema versions?

Yes. Versioning is a first-class workflow, so teams can roll out changes with control.

How do we monitor extraction quality over time?

Track confidence, citations, and eval metrics across repeated runs and schema revisions.

Ready to automate your Custom Extraction for Ops and Legal workflow?

Define your schema once. Get consistent structured outputs every run.