Modeling the Consequences of Making a Court Decision Using Artificial Intelligence

Abstract

In this article, the author examines the prospects and limitations of applying artificial intelligence (AI) in Russian civil proceedings, drawing a distinction between “forecasting” a likely case outcome and “modeling” the long-term consequences of judicial decisions. Particular attention is devoted to disputes affecting the interests of future generations (e.g., environmental or urban planning cases), where modeling can offer a more comprehensive view of potential risks. Despite the absence of a unified service capable of creat ing such models for judges, all necessary technologies—machine learning, deep learning, big data analytics, and integration with geographic information systems (GIS), among others—are currently available and evolving rapidly. The article also highlights foreign experience in using AI in civil justice and alternative dispute resolution. The author concludes that the proposed model ing mechanism is of practical value, providing courts with additional tools for thoroughly assessing circumstances that are significant for both present and future generations, while preserving judicial independence and impartiality.