Executive Summary

A global financial information provider preparing for a third-party audit required confirmation of compliance with a key supply agreement. This necessitated the review of 1,900 historic client agreements to identify a highly specific set of contractual data points.

The matter was both high-risk and time-critical, with a six-day deadline. The agreements spanned over 20 years, were fragmented across systems, involved extensive duplication, included missing documents, and existed in seven languages. Many documents were poorly scanned, and the relevant data points were described inconsistently. A traditional manual legal review was not feasible.

Radiant Law’s Role

A global financial information provider needed a legal partner who could deliver high volumes of commercial contracts quickly and accurately while navigating multiple business lines and global jurisdictions. Internal legal teams were under pressure, with inconsistent processes and limited tools for intake, tracking, and standardisation.

Radiant Law was engaged to design and deliver a defensible, AI-enabled contract review and analytics programme under senior legal supervision.

Key activities included:

Custom Infrastructure

• Built a bespoke contract database
• Wrote over 18,000 lines of custom code to:
  • Deduplicate documents
  • Map them to legal parent entities
  • Extract legally relevant data points

AI and Data Techniques

• Deployed a combination of:
  • AI-assisted extraction
  • Semantic search
  • Deterministic checks
• Used to locate specific terms across the contract population

User Interface

• Developed a tailored React-based interface to streamline review of identified data points

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Legal Supervision and Risk Assessment

• ‍Senior Legal Oversight
  • Experienced data licensing lawyers conducted detailed analysis of higher-risk agreements
  • Supervised AI output using targeted manual review
  • Resolved edge cases and validated extraction accuracy
• Quantifying Risk
  • Applied statistical sampling and Bayesian modelling techniques
  • Including Monte Carlo simulations
  • Used to estimate the likelihood that any unreviewed agreements met the relevant legal test

Outcome

This integrated approach, combining legal judgment, AI-driven analysis, and statistically supported confidence levels, enabled the client to engage credibly with the third-party auditor.

The client was able to demonstrate that there were no substantive compliance issues within the agreement population, meeting their regulatory and commercial objectives within an extremely tight timeframe.

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Matter Details

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Client Feedback

Legal Team

Radiant’s team know the bank—that’s very important for us. You have that vital institutional knowledge. Radiant lawyers bring good practices to our contracting, tell us how things could be improved, how drafting could be changed. The communication and data are fantastic. Radiant has a very tech-friendly team. Sharing data and intuitive dashboards gives us all the extra insight we need.