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Why does an argument end up in the final court decision? Was it deliberatedor questioned during the oral hearings? Was there something in the hearingsthat triggered a particular judge to write a dissenting opinion? Despite theavailability of the final judgments of the European Court of Human Rights(ECHR), none of these legal research questions can currently be answered as theECHR's multilingual oral hearings are not transcribed, structured, orspeaker-attributed. We address this fundamental gap by presenting LaCour!, thefirst corpus of textual oral arguments of the ECHR, consisting of 154 fullhearings (2.1 million tokens from over 267 hours of video footage) in English,French, and other court languages, each linked to the corresponding finaljudgment documents. In addition to the transcribed and partially manuallycorrected text from the video, we provide sentence-level timestamps andmanually annotated role and language labels. We also showcase LaCour! in a setof preliminary experiments that explore the interplay between questions anddissenting opinions. Apart from the use cases in legal NLP, we hope that lawstudents or other interested parties will also use LaCour! as a learningresource, as it is freely available in various formats athttps://huggingface.co/datasets/TrustHLT/LaCour.

LaCour!: Enabling Research on Argumentation in Hearings of the European Court of Human Rights