@inproceedings{braun-2024-teaching-natural,
    title = "Teaching Natural Language Processing in Law School",
    author = "Braun, Daniel",
    editor = {Al-azzawi, Sana  and
      Biester, Laura  and
      Kov{\'a}cs, Gy{\"o}rgy  and
      Marasovi{\'c}, Ana  and
      Mathur, Leena  and
      Mieskes, Margot  and
      Weissweiler, Leonie},
    booktitle = "Proceedings of the Sixth Workshop on Teaching NLP",
    month = aug,
    year = "2024",
    address = "Bangkok, Thailand",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.teachingnlp-1.13/",
    pages = "85--90",
    abstract = "Fuelled by technical advances, the interest in Natural Language Processing in the legal domain has rapidly increased over the last months and years. The design, usage, and testing of domain-specific systems, but also assessing these systems from a legal perspective, needs competencies at the intersection of law and Natural Language Processing. While the demand for such competencies is high among students, only a few law schools, particularly in Europe, teach such competencies. In this paper, we present the design for a Natural Language Processing course for postgraduate law students that is based on the principle of constructive alignment and has proven to be successful over the last three years."
}