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Digital Decision Support Technologies in Legal Practice: Psychological Profile and User Trust

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  • A. Yu. Kuzmin
  • O. O. Gofman
  • S. V. Kovalchuk

Abstract

Decision support systems (DSS) are a promising technology based on artificial intelligence. While such systems are currently used in a number of fields and industries, the legal field remains one of the most challenging to implement.The purpose of this paper is to analyze the psychological aspects of user-AI interaction within these systems. Based on an analysis of existing models of human-technology interaction and the author's methodology, the study design is presented.The results of a focus group with experts from executive and judicial authorities (N = 8) are presented: the role of DSS in legal work, and the benefits and concerns associated with using such systems. Parameters relevant for profiling and further adapting systems to specific users are highlighted.The article also discusses the prospects and issues of implementing DSS in law enforcement practice.Â

Suggested Citation

  • A. Yu. Kuzmin & O. O. Gofman & S. V. Kovalchuk, 2025. "Digital Decision Support Technologies in Legal Practice: Psychological Profile and User Trust," Administrative Consulting, Russian Presidential Academy of National Economy and Public Administration. North-West Institute of Management., issue 5.
    • Handle: RePEc:acf:journl:y:2025:id:2830
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    1. Allan Dafoe & Yoram Bachrach & Gillian Hadfield & Eric Horvitz & Kate Larson & Thore Graepel, 2021. "Cooperative AI: machines must learn to find common ground," Nature, Nature, vol. 593(7857), pages 33-36, May.
    2. Tabesh, Pooya & Mousavidin, Elham & Hasani, Sona, 2019. "Implementing big data strategies: A managerial perspective," Business Horizons, Elsevier, vol. 62(3), pages 347-358.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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