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This paper introduces DAR (Deontic Agentic Reasoning), an agentic framework enabling LLMs to interactively query statutes and policies for legal/regulatory reasoning tasks. Evaluated on DeonticBench, results show agentic harnesses improve frontier models but can degrade weaker models on numerical tasks while consuming more tokens.