Catylex

Catylex extracts structured data from contracts — upload agreements to its cloud platform and it identifies obligations, rights, risks, termination provisions, assignment clauses, governing law, and thousands of other legal concepts automatically, without model training. It uses ensemble AI (multiple models working together, not a single LLM) to deliver what the company calls quality superior to any individual language model, with confidence scoring that flags low-certainty extractions for human review. Co-founded by a co-founder of Exari (major CLM platform acquired by Coupa), which brings deep domain expertise in contract data models. Artificial Lawyer characterizes it as an ‘AI commodity clause extractor for big repos.’ Primary use cases: M&A due diligence (bulk-analyzing inherited contract portfolios), ongoing contract portfolio management, and regulatory compliance extraction (e.g., DORA compliance for financial institutions). PwC UK is a strategic partner. SOC 2 compliant.

Company Info

• Founded: 2018
• Team size: ~20 employees
• Funding: $5M
• Revenue: $2.2M (per GetLatka, unverified)
• HQ: United States
• Pricing: Essentials $4,800/year; Professional $48,000/year; Enterprise custom
• Sector: Contract Analytics

What We Haven’t Verified

This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback. No practitioner feedback from r/legaltech members. Not enough G2 reviews for a rating. Security certifications not verified. Integration details with CLM systems not confirmed.