Artificial Intelligence and Machine Learning in Legal Research: A Comprehensive Analysis
DOI:
https://doi.org/10.55737/qjss.203679344Keywords:
Machine Learning (ML), Artificial Intelligence (AI), Legal System, Legal ResearchAbstract
This paper conducts a thorough investigation into the profound ramifications of Artificial Intelligence (AI) and Machine Learning (ML) on legal proceedings and the justice system. It assesses how these technologies are reshaping existing legal structures and principles by fundamentally altering judicial practices. Looking ahead, the paper anticipates a promising trajectory for AI and ML in legal research, elucidating their developmental pathways and introducing novel areas of inquiry. It emphasizes the necessity of an interdisciplinary approach, advocating for collaboration between legal professionals, data scientists, and ethicists to effectively address the ethical and practical challenges inherent in the integration of AI with the law. This synergy is deemed essential for navigating the complexities of ethics and practice that arise from the intersection of AI and the legal domain. Moreover, the research underscores the pivotal roles played by AI, ML, and related technologies, asserting that they transcend mere instrumental functions to become catalysts for comprehensive transformations in legal research methodologies. By embracing these technologies, the legal field stands on the brink of a substantial transformation, heralding the end of traditional practices and the dawn of a new era characterized by digital-age legal research paradigms.
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Copyright (c) 2024 Muhammad Hamza Zakir, Sobia Bashir, Rafia Naz Ali, Syed Hammad Khan
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