The research aims to systematize the diverse range of tools associated with the use of artificial intelligence (AI) in the administration of justice and the organization of court operations within contemporary legal systems. The research is based on the authors’ proposed criteria for classification, which enable the assessment of best practices in countries implementing AI technologies in judicial activities and the identification of common features in how different legal systems adopt these innovations. As empirical material, the research draws on numerous cases presented in the first annual report on the use of AI in European judicial systems, prepared in 2025 by the Cyberjustice and Artificial Intelligence Working Group of the European Commission for the Efficiency of Justice under the Council of Europe. The research led to the development of several classifications of AI tools employed in judicial practice. By subject orientation, these tools are categorized into internal ones (for judges and court staff) and external ones (for plaintiffs, defendants, government bodies, private individuals, and legal entities). By functional orientation, AI tools can be grouped into those that assist in drafting judicial decisions, those providing auxiliary services in the administration of justice, those used in the organization of judicial proceedings (such as case sorting or anonymization), as well as those applied for oversight and external monitoring of trials. AI tools are also classified according to the stage of judicial proceedings in which they are used, the branch of law they pertain to, the type of integrated information (text, images, sound, video, virtual reality systems, computational functions, linguistic translation tools, AI avatars, subtitles), their duration of application, the possibility of adjustments during operation, and the degree to which they can substitute for physical presence in court.