Example of a Taxonomy of Court Decisions in Civil Cases for Automated Analysis Using Artificial Intelligence Tools

This taxonomy is the outcome of a research project whose primary objective is to enable the application of artificial intelligence technologies for the automated analysis of large-scale datasets from the Unified State Register of Court Decisions of Ukraine. Although the Register contains more than 110 million publicly available judicial documents, these records are largely unstructured and lack effective tools for systematic aggregation and machine processing. The developed taxonomy addresses this challenge by transforming extensive collections of civil court decisions into structured, objective, and measurable data. It enables the systematic classification of judicial proceedings, facilitates the identification of consistent patterns and deviations in judicial practice, and supports the prediction of key procedural aspects, including case duration, court costs, and the likelihood of appeal. As such, the taxonomy provides a robust analytical foundation for the objective monitoring of judicial efficiency, the promotion of consistency in judicial practice, and the development of evidence-based recommendations for judicial reform in the context of Ukraine's European integration and post-war recovery. The research was conducted by researchers from Taras Shevchenko National University of Kyiv in collaboration with partners from Linnaeus University (Sweden) and with financial support from the Swedish Institute. The final version of the taxonomy is available in both Ukrainian and English.