From Local Retrieval to Global Reasoning: GraphRAG for Legal Knowledge Modeling
1. Introduction Artificial Intelligence is reshaping the way legal professionals access, analyze, and reason over information. Retrieval-Augmented Generation (RAG) has become the foundation of many Legal AI assistants, enabling Large Language Models (LLMs) to retrieve relevant legal documents before generating responses (Li et al., 2025). This approach has significantly improved the reliability of generative AI […]
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