A mid-size law firm specializing in commercial real estate was bottlenecked by contract review. Every deal involved 50-200 pages of legal documents that paralegals had to read line-by-line to identify risk clauses, non-standard terms, missing provisions, and compliance issues. We built an AI-powered document analysis system that processes entire contract packages in minutes, generating structured risk reports with every flagged clause linked back to the source document.
Legal documents require extreme precision — missing a single liability clause can cost millions. The AI needed to understand legal terminology across multiple practice areas, recognize deviations from standard language, identify missing clauses that should be present, and present findings in a format that attorneys trust enough to rely on.
We trained a specialized model on thousands of commercial real estate contracts annotated by practicing attorneys. The system uses a multi-pass approach: first extracting all clauses and classifying them, then comparing against a library of standard provisions, and finally generating a risk-scored summary. Every finding includes a confidence score and direct link to the source text. Attorneys review the AI's output rather than the raw documents.
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Request a DemoOur paralegals review AI summaries now instead of reading 200 pages. We haven't missed a single critical clause since deployment.
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