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AI Contract Ingestion & OCR Clause Extraction

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AI Contract Ingestion & OCR Clause Extraction

Quick Summary: GAAPx automated contract ingestion processes PDF, DOCX, and scanned image agreements using multi-modal AI vision and legal-domain NLP. The engine automatically extracts commercial terms (effective dates, multi-year ramp schedules, billing cadences), non-standard terms (service level credits, early termination carve-outs), and decomposes contract lines into distinct ASC 606 performance obligations with 99.4% field accuracy.

Contract Ingestion Pipeline​

flowchart LR
    Upload["1. Raw Document Upload\n(PDF, DOCX, Scans, CRM Webhook)"] --> OCR["2. Layout Analysis & OCR\n(Tables, Headers, Multi-Page Signatures)"]
    OCR --> NLP["3. Legal-Domain Extraction\n(Clauses, Rates, Escalators, Termination)"]
    NLP --> Valid["4. Deterministic Validation\n(Cross-Totaling, Date Continuity, SSP Rules)"]
    Valid --> Subledger["5. GAAPx Revenue Subledger\n(POBs, Waterfalls & Billing Schedule)"]

Supported Agreement Types & Formats​

GAAPx natively parses and links the following document structures into a single unified contract family:

Agreement TypeExtracted Key FieldsAccounting Significance
Master Services Agreement (MSA)Governing law, payment terms (Net 30/60), termination for convenience clauses, liability caps.Step 1: Enforceability and contract duration evaluation.
Order Forms / Statements of Work (SOW)Product SKUs, committed volumes, platform tiers, professional services milestones, pricing escalators.Step 2 & 3: Distinct POB separation and transaction price determination.
Amendments & AddendumsEffective amendment dates, proration schedules, scope increases or downgrades.Contract modification accounting (Cumulative Catch-Up vs Prospective).
Usage Rate CardsBase platform entitlements, overage tiers, credit consumption drawdowns.Variable consideration and usage-based revenue recognition.

Extracted Field Taxonomy & Confidence Scoring​

Every ingested contract generates a structured JSON contract model accompanied by field-level confidence scores and raw document bounding boxes:

{
  "contract_id": "gx_ctr_98412",
  "customer_name": "Acme Corp Enterprise",
  "effective_date": "2026-10-01",
  "termination_date": "2028-09-30",
  "currency": "USD",
  "total_contract_value": 240000.00,
  "confidence_score": 0.994,
  "performance_obligations": [
    {
      "pob_id": "pob_01",
      "name": "Enterprise SaaS Platform License",
      "term_months": 24,
      "stated_amount": 180000.00,
      "ssp_allocated_amount": 165400.00,
      "timing": "over_time",
      "citation": "Order Form Section 2.1 (Page 2, Lines 14-22)"
    },
    {
      "pob_id": "pob_02",
      "name": "Custom Integration & Deployment",
      "stated_amount": 60000.00,
      "ssp_allocated_amount": 74600.00,
      "timing": "point_in_time_milestone",
      "citation": "SOW Attachment A (Page 6)"
    }
  ]
}

Human-in-the-Loop (HITL) Exception Review​

When a contract contains non-standard legal phrasing or confidence scores fall below 95%, the contract is automatically routed to the GAAPx Exception Queue:

  1. Side-by-Side Verification: Accountants see the raw PDF highlighted in the left pane and extracted data fields in the right pane.
  2. One-Click Override: Finance users can correct or refine extracted values, instantly training the tenant's custom parser.
  3. Audit Immutability: All manual overrides are logged with user identity, timestamp, and rationale for external auditors.
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