Challenge
Ahead of a major corporate transaction, a global manufacturer needed a clear, actionable view of contract risk across nearly 16,000 legacy agreements. The in-house team lacked the capacity to parse this complex and varied contract landscape at scale—especially given the urgent need to flag unfavorable terms that could delay or disrupt the transaction.
Approach
First, an Axiom team of lawyers extracted all contracts that contained “Change in Control” language, roughly 1,500 of the 16,000 records. Once identified, they used Legora to bulk review the agreements and manually check the favorable/unfavorable contracts to confirm accuracy and eliminate duplicates. Once isolated, they used Legora again to extract metadata such as document type, counterparty name, and more into a structured data bank. The Axiom team wrapped the project with a final manual check to categorize the logic (notice/consent, termination rights, other) behind all unfavorable agreements.
Impact
- Axiom team created 185 “contract families” of unfavorable counterparties for the business to reference in future negotiations.
- Human-validated AI results minimized risk while delivering unparalleled combo of speed and accuracy to the client.
- Structured metadata gave client’s business teams clear insights on how to navigate negotiations with confidence.
