Legal Experts Disagree With Rationale Extraction Techniques for Explaining ECtHR Case Outcome Classification

ArXi:2601.12419v2 Announce Type: replace Interpretability is critical for applications of large language models (LLMs) in the legal domain, where trust and transparency are essential. A central NLP task in this setting is legal outcome prediction, where models forecast whether a court will find a violation of a given right. We study this task on decisions from the European Court of Human Rights (ECtHR