AIBearisharXiv – CS AI · 18h ago7/10
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Beyond Probabilistic Similarity: Structural, Temporal, and Causal Limitations of Retrieval-Augmented Generation in the Legal Domain
A research paper identifies fundamental architectural flaws in Retrieval-Augmented Generation (RAG) systems for legal AI, showing that probabilistic similarity-based retrieval cannot adequately capture the hierarchical, temporal, and causal structure inherent in legal knowledge. The authors propose a deterministic-by-design framework addressing mereological blindness, diachronic blindness, and causal opacity to prevent persistent failures like fabricated citations and anachronistic legal content.