Co-citation predictability for statute retrieval decays over 20 years in Ukrainian court data, dropping 33-47% in MRR with non-uniform patterns across legal domains.
Incorporating Legal Structure in Retrieval-Augmented Generation: A Case Study on Copyright Fair Use; 2025
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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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Temporal Decay of Co-Citation Predictability: A 20-Year Statute Retrieval Benchmark from 396M Ukrainian Court Citations
Co-citation predictability for statute retrieval decays over 20 years in Ukrainian court data, dropping 33-47% in MRR with non-uniform patterns across legal domains.
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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.