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  1.  2
    Correction To: Modeling Law Search as Prediction.Faraz Dadgostari, Mauricio Guim, Peter A. Beling, Michael A. Livermore & Daniel N. Rockmore - 2021 - Artificial Intelligence and Law 29 (1):1-1.
    In the original publication of the article.
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  2.  6
    Modeling law search as prediction.Faraz Dadgostari, Mauricio Guim, Peter A. Beling, Michael A. Livermore & Daniel N. Rockmore - 2021 - Artificial Intelligence and Law 29 (1):3-34.
    Law search is fundamental to legal reasoning and its articulation is an important challenge and open problem in the ongoing efforts to investigate legal reasoning as a formal process. This Article formulates a mathematical model that frames the behavioral and cognitive framework of law search as a sequential decision process. The model has two components: first, a model of the legal corpus as a search space and second, a model of the search process that is compatible with that environment. The (...)
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  3.  7
    Law and software agents: Are they “Agents” by the way?Emad Abdel Rahim Dahiyat - 2021 - Artificial Intelligence and Law 29 (1):59-86.
    Using intelligent software agents in the world of e-commerce may give rise to many difficulties especially with regard to the validity of agent-based contracts and the attribution of liability for the actions of such agents. This paper thus critically examines the main approaches that have been advanced to deal with software agents, and proposes the gradual approach as a way of overcoming the difficulties of such agents by adopting different standards of responsibility depending whether the action is done autonomously by (...)
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  4.  3
    Information extraction framework to build legislation network.Neda Sakhaee & Mark C. Wilson - 2021 - Artificial Intelligence and Law 29 (1):35-58.
    This paper concerns an information extraction process for building a dynamic legislation network from legal documents. Unlike supervised learning approaches which require additional calculations, the idea here is to apply information extraction methodologies by identifying distinct expressions in legal text in order to extract network information. The study highlights the importance of data accuracy in network analysis and improves approximate string matching techniques to produce reliable network data-sets with more than 98% precision and recall. The applications and the complexity of (...)
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  5.  5
    Administrative due process when using automated decision-making in public administration: some notes from a Finnish perspective.Markku Suksi - 2021 - Artificial Intelligence and Law 29 (1):87-110.
    Various due process provisions designed for use by civil servants in administrative decision-making may become redundant when automated decision-making is taken into use in public administration. Problems with mechanisms of good government, responsibility and liability for automated decisions and the rule of law require attention of the law-maker in adapting legal provisions to this new form of decision-making. Although the general data protection regulation of the European Union is important in acknowledging automated decision-making, most of the legal safeguards within administrative (...)
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