Hugging Face Trending Papers
Law And Order: Tax Law Autoformalization
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Law And Order: Tax Law Autoformalization
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Closing the Loop: Formally Verified Law as a Reward Signal for Self-Improving Legal AI
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arXiv AI
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NeuroSymbolic AI for Legal AI-TRISM: Trustworthy, Reliable, Interpretable, Safe Models
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arXiv Computation and Language
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Using Large Language Models for Legal Decision-Making in Austrian Value-Added Tax Law: A Comparative Study
This study experimentally evaluates large language models (LLMs) for legal decision-making in Austrian and EU value‑added tax (VAT) law. It compares fine‑tuning and retrieval‑augmented generation (RAG) on textbook and real‑world tax consulting cases to identify optimal LLM configurations and assess legal‑reasoning abilities. Results show that properly configured LLMs can aid tax professionals with routine tasks and provide legally grounded justifications, though they are not yet ready for full automation due to challenges like hallucination and handling implicit client knowledge.
arXiv AI
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From Judgments to Issues: Structured Extraction of Legal Reasoning with Citation-Hallucination Control
arXiv:2607. 03325v1 Announce Type: cross Abstract: We present an automated pipeline that decomposes Italian tax-court judgments into individual legal issues and extracts, for each issue, a structured XML representation grounded in the IRAC framework and the legal syllogism.
arXiv AI
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Know Your Limits : On the Faithfulness of LLMs as Solvers and Autoformalizers in Legal Reasoning
arXiv:2606. 16118v1 Announce Type: new Abstract: Large Language Models (LLMs) achieve strong performance on reasoning tasks, but whether this reflects faithful logical inference or heuristic approximation remains unclear.