Abstract: The paper investigates the possibilities of analyzing and forecasting civil law disputes
based on mathematical models. The multifactorial and uncertainty-laden nature of legal decisionmaking necessitates their representation through formalized models. The study examines the
application potential of mathematical approaches such as game theory, probabilistic models,
optimization, and fuzzy logic, and analyzes how these methods contribute to the resolution of legal
disputes and the assessment of legal risks within a scientific context.
Keywords: civil law, mathematical modeling, game theory, legal probabilities, optimization,
fuzzy logic