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New pipeline extracts legal reasoning from Italian tax judgments with citation control

By PulseAugur Editorial · [2 sources] ·

Researchers have developed an automated pipeline to break down Italian tax court judgments into individual legal issues. This system uses the DeepSeek V3 model to extract structured XML representations grounded in the IRAC framework, aiming for cost-efficiency in processing a large corpus of decisions. A key feature is a hallucination-detection filter that cross-references model-generated legal citations with those found in the judgment text, using tools like Lincoln for parsing and URN-NIR for normalization. The pipeline was validated on 50 judgments annotated by legal experts, demonstrating its potential for applications like issue-level retrieval and dataset construction. AI

IMPACT This research could improve the efficiency and accuracy of legal document analysis and dataset creation for AI systems.

RANK_REASON The cluster contains an academic paper detailing a new methodology for legal text analysis.

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New pipeline extracts legal reasoning from Italian tax judgments with citation control

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The cluster contains an academic paper detailing a new methodology for legal text analysis.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Giovanni Piccioli, Alessia Fidelangeli, Piera Santin, Pierpaolo Vivo ·

    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. The pi…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Pierpaolo Vivo ·

    From Judgments to Issues: Structured Extraction of Legal Reasoning with Citation-Hallucination Control

    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. The pipeline targets a corpus of approximately $330{,}00…

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