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  1. (1 other version)Semi-automatic knowledge population in a legal document management system.Guido Boella, Luigi Di Caro & Valentina Leone - 2019 - Artificial Intelligence and Law 27 (2):227-251.
    Every organization has to deal with operational risks, arising from the execution of a company’s primary business functions. In this paper, we describe a legal knowledge management system which helps users understand the meaning of legislative text and the relationship between norms. While much of the knowledge requires the input of legal experts, we focus in this article on NLP applications that semi-automate essential time-consuming and lower-skill tasks—classifying legal documents, identifying cross-references and legislative amendments, linking legal terms to the most (...)
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  • Automatic semantic edge labeling over legal citation graphs.Ali Sadeghian, Laksshman Sundaram, Daisy Zhe Wang, William F. Hamilton, Karl Branting & Craig Pfeifer - 2018 - Artificial Intelligence and Law 26 (2):127-144.
    A large number of cross-references to various bodies of text are used in legal texts, each serving a different purpose. It is often necessary for authorities and companies to look into certain types of these citations. Yet, there is a lack of automatic tools to aid in this process. Recently, citation graphs have been used to improve the intelligibility of complex rule frameworks. We propose an algorithm that builds the citation graph from a document and automatically labels each edge according (...)
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  • Referring Phrases with Deictic Indication and the Issue of Comprehensibility of Texts of Normative Acts: The Case of Polish Codes.Maciej Kłodawski - 2020 - International Journal for the Semiotics of Law - Revue Internationale de Sémiotique Juridique 34 (2):497-524.
    The paper focuses on a specific type of referring legal provisions, in which the referring phrase contains a component that indicates the position of a certain fragment of the same text of a normative act by determining the position of that fragment in relation to the fragment in which the given referring phrase is located. Despite the fact that these referrals, called deictic, may be perceived as uncomplicated in structure and as functioning correctly in legal texts, many theoretical as well (...)
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  • Using attention methods to predict judicial outcomes.Vithor Gomes Ferreira Bertalan & Evandro Eduardo Seron Ruiz - 2022 - Artificial Intelligence and Law 32 (1):87-115.
    The prediction of legal judgments is one of the most recognized fields in Natural Language Processing, Artificial Intelligence, and Law combined. By legal prediction, we mean intelligent systems capable of predicting specific judicial characteristics such as the judicial outcome, the judicial class, and the prediction of a particular case. In this study, we used an artificial intelligence classifier to predict the decisions of Brazilian courts. To this end, we developed a text crawler to extract data from official Brazilian electronic legal (...)
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