Question

A law firm wants to reduce the hours associates spend manually reading through lengthy commercial contracts to flag non-standard clauses, unusual liability terms, and missing indemnification language. They want a solution that can understand the meaning of contract text and surface potential issues for human review. Which AI approach is most appropriate for this use case?

Accepted Answer

Deploy a large language model to analyze and summarize contract text, highlighting clauses that deviate from standard patterns for attorney review

Answer

Use a rule-based keyword search that flags documents containing a fixed list of predefined legal terms

Answer

Train a linear regression model to predict a numeric risk score from the document's page count and word count

Answer

Apply a computer vision object-detection model to scan the contract images for logos and signatures