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Cutting Through the Noise: How We Took Context Precision from 61% to 94% in a Legal-Tech RAG System
This post walks through exactly how: the diagnosis process, the specific architecture changes we made, the tradeoffs we accepted along the way, and the results that followed. If you're running a RAG system where "it mostly works" isn't good enough — because your users are lawyers, auditors, or anyone else who can't afford a confidently wrong answer — this is the playbook we used, and the one we'd use again.
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pratibha00
14 min read
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