SAT-Graph RAG is a new ontology-driven temporal graph framework for legal RAG that models Works vs. Expressions, reuses versioned components for temporal states, and treats legislative events as queryable Action nodes to support deterministic point-in-time and causal queries.
Finding the law: Enhancing statutory article retrieval via graph neural networks; 2023
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LegalGraphRAG adds hierarchical organization to legal knowledge graphs and a multi-agent verification loop to reach claimed state-of-the-art accuracy and trustworthiness on legal reasoning benchmarks.
citing papers explorer
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An Ontology-Driven Graph RAG for Legal Norms: A Structural, Temporal, and Deterministic Approach
SAT-Graph RAG is a new ontology-driven temporal graph framework for legal RAG that models Works vs. Expressions, reuses versioned components for temporal states, and treats legislative events as queryable Action nodes to support deterministic point-in-time and causal queries.
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LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning
LegalGraphRAG adds hierarchical organization to legal knowledge graphs and a multi-agent verification loop to reach claimed state-of-the-art accuracy and trustworthiness on legal reasoning benchmarks.