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Artificial Intelligence and Law, Volume 34

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Volume 34, Number 1, March 2026

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Felipe Alves Siqueira, Diany Pressato, Fabíola S. F. Pereira, Nádia Félix F. da Silva, Ellen Souza, Márcio de Souza Dias, André C. P. L. F. de Carvalho:
Segmenting Brazilian legislative text using weak supervision and active learning. 1-82
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Vasile Pais, Radu Ion, Elena Irimia, Verginica Barbu Mititelu, Valentin Badea, Dan Tufis:
System for the anonymization of Romanian jurisprudence. 83-105
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Daphne Odekerken, Floris Bex, Henry Prakken:
Precedent-based reasoning with incomplete information for human-in-the-loop decision support. 107-152
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Jakub Harasta, Tereza Novotná, Jaromír Savelka:
It cannot be right if it was written by AI: on lawyers' preferences of documents perceived as authored by an LLM vs a human. 153-190
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Gijs van Dijck, Carlos Aguilera, Shashank Chakravarthy:
Deciphering disagreement in the annotation of EU legislation. 191-226
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Xukang Wang, Vanessa Hoo, Mingyue Liu, Jiale Li, Ying Cheng Wu:
Advancing legal recommendation system with enhanced Bayesian network machine learning. 227-244
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Subinay Adhikary, Procheta Sen, Dwaipayan Roy, Kripabandhu Ghosh:
A case study for automated attribute extraction from legal documents using large language models. 245-266
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Fabiana Di Porto, Paolo Fantozzi, Maurizio Naldi, Nicoletta Rangone:
Mining EU consultations through AI. 267-304
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Sascha Schweitzer, Markus Conrads:
Correction to: The digital transformation of jurisprudence: an evaluation of ChatGPT-4's applicability to solve cases in business law. 305-309

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