Evidence-Grounded AI Framework for Reliable Legal ReasoningEvidence-Grounded AI Framework for Reliable Legal Reasoning
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Engineered an AI legal reasoning framework to improve the reliability of LLM-generated legal responses through evidence-grounded reasoning. Designed an evidence-verification pipeline using a causal cross-attention gating mechanism to validate generated responses against retrieved legal source material. Reduced unsupported AI-generated legal conclusions by enforcing evidence-grounded reasoning before presenting legal answers.
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