DEVELOPMENT OF AI-ENHANCED LEGAL DECISION SUPPORT SYSTEMS IN ELECTRONIC JUSTICE: THEORETICAL FRAMEWORKS AND PRACTICAL APPLICATIONS
Keywords:
artificial intelligence, legal decision support, electronic justice, judicial automation, legal informatics, procedural fairnessAbstract
This study examines the integration of artificial intelligence into legal decision support systems within electronic justice frameworks. Through systematic analysis of implementation strategies across multiple jurisdictions, this research identifies key technical architectures and governance models that optimize judicial efficiency while maintaining procedural fairness. Employing mixed-methods analysis of case management data from 12 court systems and interviews with 57 legal professionals, findings reveal that AI-enhanced systems demonstrate significant improvements in case processing times (37% reduction) while maintaining decision quality when implemented with appropriate human oversight mechanisms. The research further establishes a theoretical framework for understanding the socio-technical dimensions of AI judicial assistance, indicating that effective implementation requires both technological sophistication and organizational readiness. This study contributes to the emerging field of computational justice by providing empirical evidence on the efficacy of AI decision support tools and offering practical guidelines for courts seeking technological modernization while preserving fundamental legal principles.
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