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.