ContractsAI provides an AI‑powered platform that extracts, normalizes, and indexes clause‑level data from contracts, building a searchable knowledge graph accessible via natural‑language queries. The solution integrates with existing CLM and ERP systems through RESTful and GraphQL APIs, delivering risk, obligation, and term‑variance insights with encrypted, role‑based access controls.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises struggle to operationalize contract data after execution because key clauses remain buried in unstructured PDFs or legacy systems, requiring extensive manual tagging and post‑go‑live cleanup. This hampers timely risk assessment, compliance monitoring, and the ability to leverage contract terms in business decisions.
Solution
ContractsAI delivers an AI‑driven intelligence layer that automatically extracts, normalizes, and indexes clause‑level data from both legacy and live agreements. The platform builds a searchable knowledge graph that supports natural‑language queries across the entire portfolio, returning answers linked to the source language for validation. Integrated APIs enable seamless connection to existing CLM and ERP solutions without full data migration, allowing organizations to pilot on a subset of contracts and scale incrementally. Security is baked in: all fields are encrypted in transit and at rest, with granular role‑based access controls and full audit trails. The resulting structured data feeds dashboards that surface risk, obligation, and term variance insights for finance, procurement, and legal stakeholders, turning static contracts into actionable intelligence.
Target Audience
Primary customers are legal, procurement, and finance teams within large enterprises that manage high‑volume contract portfolios and rely on CLM or ERP systems for contract lifecycle management.
Features
- Proprietary NLP models that extract clause‑level fields and preserve original language across multiple jurisdictions
- Automatic clustering of related agreements and alignment of shared terms to create a unified contract taxonomy
- Real‑time natural‑language query engine that returns clause excerpts, confidence scores, and source document references
- RESTful and GraphQL APIs for bidirectional integration with CLM, ERP, and procurement platforms
- Role‑based access control with AES‑256 encryption at rest and TLS 1.3 in transit, plus immutable audit logs for compliance
- Configurable risk and obligation dashboards that visualize term variance, renewal windows, and compliance gaps
- No on‑premise model training; all inference runs in a secure, isolated cloud environment