Skip to main content
Operational Intelligence

Contract Risk Radar

Clause-level contract review grounded in past SME verdicts, with a rationale for every flag.

About the Project

A three-stage pipeline (obligation extraction, per-obligation judgment, verdict prediction by analogy) reviews contract clauses against obligations drawn from three policy documents. Each flagged clause gets a verdict (Accept, Modify, Replace, Reject or Escalate), a confidence flag and a rationale, and low-similarity clauses default to Escalate. Built and evaluated on synthetic contracts.

Technical Overview

Data Sources

  • Cybersecurity contract clauses (Word files)
  • Policy documents (Word files)
  • Clause-level SME review verdicts and comments
  • Obligation catalogue (133 items)

ML / NLP Stack

  • LLM structured extraction with Pydantic schemas
  • Embedding similarity retrieval (nomic-embed-text)
  • Analogy-based verdict prediction
  • Batched LLM judgment (10 obligations per call)
  • Drafted replacement clause text (gated)

Key Challenges

  • Clauses with no close precedent in the example set
  • Overlapping policy obligations from three source documents
  • Only 38 labelled SME examples to learn from
  • Choosing between escalate and modify when few close precedents exist

Interested in this solution?

Let's discuss how we can adapt this approach for your business.

Get in Touch