APPLICATION OF ARTIFICIAL INTELLIGENCE IN DECISION-MAKING BASED ON LEGAL PRAGMATISM
APPLICATION OF ARTIFICIAL INTELLIGENCE IN DECISION-MAKING BASED ON LEGAL PRAGMATISM

Author(s): Daniel Raupp
Subject(s): Law, Constitution, Jurisprudence, Sociology of Law
Published by: Institut za uporedno pravo
Keywords: artificial intelligence; decision-making; judicial efficiency; law; legal pragmatism
Summary/Abstract: This article examines the integration of Artificial Intelligence (AI) in judicial decision-making through legal pragmatism principles. The study analyses how AI can enhance judicial decisions while addressing barriers to justice, focusing on three key areas: AI's current legal applications, legal pragmatism's theoretical framework, and their practical synthesis in judicial systems. The research first explores AI classification in legal contexts, examining how machine learning and generative AI process legal data, predict outcomes and model scenarios. It then analyses legal pragmatism's core principles – anti-foundationalism, contextualism, and consequentialism and their impact on judicial decision-making. Finally, it demonstrates how AI can enhance pragmatic judicial decisions through precedent analysis, consequence evaluation, context assessment, bias mitigation, and discretion reduction. Using deductive, analytical, and inductive methods, this study shows that AI integration, guided by pragmatic principles, can improve judicial efficiency while promoting transparency and consistency in legal reasoning.

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