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Zeleznikow, J. (2004). Building Intelligent Legal Decision Support Systems: Past Practice and Future Challenges. In J. Fulcher, & L. C. Jain (Eds.), Applied Intelligent Systems (Studies in Fuzziness and Soft Computing) (Vol. 153, pp. 201-254). Springer.
https://doi.org/10.1007/978-3-540-39972-8_7

has been cited by the following article:

• TITLE: Artificial Intelligence Approaches within the Brazilian Judiciary’s Contemporary Jurisdictional Model

  AUTHORS: Juliana Souza Carvalho Casimiro, Sérgio Torres Teixeira

  KEYWORDS: Brazilian Precedent System, Artificial Intelligence Approaches, Intelligent Decision Support System

  JOURNAL NAME: Beijing Law Review, Vol.15 No.2, June 14, 2024

  ABSTRACT: The present work aims to analyze the methods of approaching Artificial Intelligence for use as a decision support system in the Brazilian Judiciary. Among the factors for the choice is the Brazilian jurisdiction system, which was originally civil law and in recent times has absorbed common law characteristics. Likewise, it analyzes whether a tool would be necessary for each judge to preserve their discretion or if the tool would be uniformly differentiated only on account of the matter dealt with; thus, are presented the characteristics of classic jurisdiction systems and Stare Decisis Brasiliensis, notions and approaches of artificial intelligence, in order to identify which approach methods would be most appropriate for the Brazilian Judiciary. The descriptive method is used, supported by interdisciplinary literature (legal and computational) of national and foreign reference.