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LLMs can generate structurally sound legal analyses but often fall short in substantive reasoning, raising questions about their reliability in legal contexts.
A novel hybrid architecture combines LLMs with symbolic AI to create conversational agents that not only respond accurately but also explain their reasoning in legal contexts.
