Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/333546 
Erscheinungsjahr: 
2025
Schriftenreihe/Nr.: 
Discussion Papers of the Max Planck Institute for Research on Collective Goods No. 2025/14
Verlag: 
Max Planck Institute for Research on Collective Goods, Bonn
Zusammenfassung: 
In many jurisdictions, academia is at the service of legal practice. Law professors write commentaries that summarize the state of the art of doctrine, chiefly of jurisprudence. In the spirit of a proof of concept, using the guarantee of freedom of assembly in the European Convention on Human Rights, we show that this task can be completely outsourced to large language models. Using standard NLP metrics and an LLM as a judge approach, we develop an evaluation pipeline that works without costly human annotation. The commentaries fully written by GPT 4o, Gemini 2.5 flash or Kimi K2 Instruct are on par with their best human written competitor, the Guide provided by the Court itself.
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