RELAF 2026

Table of Contents

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• Can Causal Discovery Algorithms Help in Generating Legal Arguments? 1-10 PDF
  Soham Wasmatkar, Subinay Adhikary, Rakshit Rohan, Shouvik Kumar Guha, Saptarshi Pyne, Kripabandhu Ghosh
• Structure-Aware Counterargument Generation via GraphRAG in DNA Evidence Cases 11-24 PDF
  Jee Won Park, Sungmi Park
• Enhancing Zero-Shot Temporal Entailment in Legal Documents via Hybrid Element Fact Extraction 25-39 PDF
  Gwang-Jae Won, Ro-Seop Park
• Creating an Argumentation-Based System for Fraud Detection in Law Enforcement with LLM Support: A Case Study and Focus Group 40-51 PDF
  Roos Scheffers
• An Exploratory Study of Hybrid Explanation of Bayesian Network Derived Likelihood Ratios for Assessing the Value of Evidence 52-65 PDF
  Jeroen Keppens
• Casing the Joint: Steps Towards Evaluating the Joint Probability Distribution of a Bayesian Network of a Criminal Case 66-77 PDF
  Ludi van Leeuwen, Leya Hampson
• An Exploration into A Fortiori Case-Based Argumentation as an Interpretable Classification Approach 78-91 PDF
  Joeri Peters, Floris Bex, Henry Prakken
• Embedding Doctrinal Evaluation Logic in Legal AI: A Constraint-Based Model of Criminal Offence Evaluation 92-105 PDF
  Jessica Herrmann, Frank Breitinger
• Governing Algorithmic Evidence: A Comparative Legal Framework for AI-Based Forensic Systems Under the EU AI Act and U.S. Admissibility Standards 106-117 PDF
  Romana Afroze
• Traceable by Design: An LLM Pipeline and Dashboard for EU Regulatory Consultation Analysis 118-127 PDF
  Thales Bertaglia, Haoyang Gui, Catalina Goanta, Gerasimos Spanakis