AI-driven Justice: Evaluating the Impact of Artificial Intelligence on Legal Systems

Rachid Ejjami

doi:10.36948/ijfmr.2024.v06i03.23969

AI-driven Justice: Evaluating the Impact of Artificial Intelligence on Legal Systems

Author(s)	Rachid Ejjami
Country	France
Abstract	This integrative literature review (ILR) examines the impact of artificial intelligence (AI) on legal systems, focusing on technologies such as natural language processing (NLP), machine learning (ML), and AI-driven decision support systems. The research problem addresses the need to understand how AI enhances efficiency, precision, and data handling in legal operations, transforming tasks like document analysis and decision-making procedures. The ILR aims to comprehensively understand AI integration in legal systems, considering its advantages and difficulties. It is guided by a conceptual framework based on AI, legal analytics, and decision support systems to enhance efficiency, accuracy, and innovation. Using a systematic methodology, the review integrates and examines existing research, evaluating AI's tangible benefits and ethical implications. The findings indicate that while AI can revolutionize legal systems, the study underscores the importance of continuous oversight, frequent evaluations, and developing AI models with the ability to identify and correct biases. Future research should prioritize longitudinal studies to assess AI's enduring effects, address ethical considerations, and encompass various legal and geographical contexts. Encouraging cross-disciplinary cooperation and utilizing diverse research methodologies is crucial to ensure that AI improves legal services while maintaining the integrity and impartiality of judicial procedures, and it makes the audience feel included and part of the AI revolution in legal systems.
Keywords	Artificial intelligence, Legal systems, Natural language processing, Machine learning, Ai-driven decision support systems, Document analysis, Judicial decision-making, Ethical challenges, Operational efficiency, Bias mitigation, Transparency, Skill degradation, Job displacement, Longitudinal studies, Interdisciplinary collaboration, Data management, Ethical integration
Published In	Volume 6, Issue 3, May-June 2024
Published On	2024-06-30
Cite This	AI-driven Justice: Evaluating the Impact of Artificial Intelligence on Legal Systems - Rachid Ejjami - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.23969
DOI	https://doi.org/10.36948/ijfmr.2024.v06i03.23969
Short DOI	https://doi.org/gt3m92

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AI-driven Justice: Evaluating the Impact of Artificial Intelligence on Legal Systems

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