The Role of AI in Proactive Contract Risk Analysis

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For years, "AI in law" primarily meant keyword searching and basic clause identification. However, the advent of sophisticated Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques has unlocked a new frontier: proactive risk analysis.

From Document Management to Risk Intelligence

Traditional Contract Lifecycle Management (CLM) systems are excellent repositories. They can tell you where a document is and what version you have. AI-powered tools like pmAGIai go a step further by understanding the *content* of those documents in context.

By training on the entire corpus of FIDIC forms, guidance manuals, and case law, our system can identify not just standard clauses, but also subtle deviations, unusual obligations, and potential conflicts between clauses that a human reviewer might miss during a rapid assessment.

A Practical Example: Video Demonstration

Watch this short video to see how our AI can analyze a set of Particular Conditions against the General Conditions to flag potentially onerous risk transfers in seconds.