Legal Agreement Analyzer
A contract governance engine for high-volume B2B agreements. Clause-level extraction, baseline comparison with % similarity scoring, and Critical/Warning risk classification for every term.
Built for structured, reliable contract analysis.
LAA combines LLM-based extraction with deterministic validation and comparison logic defined in JSON schemas - not hard-coded rules.
Clause-level extraction
Extract every term as structured data from PDFs and Word docs. Each clause is mapped to your schema fields with provenance tracking back to source text.
Schema-driven criticality
Define Critical, High, and Informational fields in JSON schemas. Missing or ambiguous critical terms are automatically flagged for review.
Baseline comparison
Compare each extracted term against your approved baseline with % similarity scoring. Quantify exactly how far a proposed clause deviates.
Field-by-field comparison
Deterministic comparison of payment terms, liability caps, renewal windows, and more. See exactly what changed and by how much.
Risk classification
Deviations are classified as Critical, Warning, or Acceptable based on your business rules. Produces a concise, actionable risk summary per agreement.
Coverage tracking
Track clause coverage across your portfolio: which terms were found, which are missing, and which are novel terms outside your standard template.
From upload to human-in-the-loop review.
LAA is designed as a governance engine, not a generic chat interface. Every agreement passes through structured stages.
- 1
Upload agreements (PDF or Word) and select the relevant tenant/baseline.
- 2
LAA extracts structured fields via LLMs and validates them against your JSON schemas.
- 3
The comparison engine runs pattern matching, field differences, and business rules to score risk.
- 4
A review queue surfaces flagged agreements for human-in-the-loop review and approval.
Built-in support for common B2B agreements.
LAA ships with pre-configured schemas for NDAs and Reseller agreements, with the flexibility to add custom types.
Non-Disclosure Agreements (NDAs)
Extract and validate key terms: definition of confidential information, exclusions, term/duration, permitted disclosures, return/destruction obligations, governing law, and more.
- • Mutual vs. one-way classification
- • Duration and survival period validation
- • Jurisdiction-specific requirements
Reseller Agreements
Handle complex commercial terms: territory, exclusivity, pricing and discounts, payment terms, termination rights, liability caps, indemnification, and IP provisions.
- • Multi-party relationship mapping
- • Pricing tier extraction
- • Renewal and termination logic
Custom agreement types can be configured by defining JSON schemas for extraction, validation rules, and comparison baselines.
Multi-tenant by design, configurable without code.
Each tenant has its own schemas, prompts, and rules, bootstrapped from a global library but free to diverge over time.
Tenant isolation
Data and configurations are siloed by Tenant ID, stored under tenant-specific paths (e.g., admin_store/{tenant}/).
Visual schema editor
Admins can modify extraction schemas, field criticality, and prompt templates from a UI instead of editing code.
A governance engine with built-in visibility.
Track what was reviewed, what was flagged, and how contracts compare to your standards.
Contracts processed
Per tenant and per agreement type
Cycle time
From upload to review completion
Risk exposure
Scored by severity and field
Deviation tracking
Against your baseline agreements
Technical questions about LAA.
Interested in LAA?
LAA is currently in beta. If you'd like to learn more or explore early access, get in touch.
Get in touch