Assistant Professor at Vignan Institute of Law, VFSTR, Vadlamudi, Andhra Pradesh, India
Research Supervisor at Vignan Institute of Law, VFSTR, Vadlamudi, Andhra Pradesh, India
The rapid integration of computers and artificial intelligence (AI) into legal research has significantly transformed the manner in which legal professional access, analyse, and interpret information. Traditional legal research, once dependent on manual reading and case law compilation, has now evolved into a technology-driven process characterized by speed, efficiency, and enhanced data accessibility. AI-powered tools are capable of processing vast volumes of legal data, identifying patterns, predicting case outcomes, and assisting in drafting legal documents. While these advancements have improved productivity, they also raise critical ethical concerns that cannot be overlooked. This study critically examines the role of computers and AI in reshaping legal research practices, with particular emphasis on issues such as data privacy, algorithmic bias, accountability, and the potential erosion of professional judgment. The reliance on automated systems may lead to overdependence, thereby diminishing the analytical skills of legal practitioners. Additionally, the opaque nature of certain AI algorithms challenges the principles of transparency and fairness that form the foundation of legal ethics. The paper further explores whether existing legal and ethical frameworks are adequate to regulate the use of AI in the legal domain. It argues for a balanced approach that integrates technological innovation with ethical responsibility, ensuring that the human element remains central to legal decision-making. Ultimately, the study highlights the need for clear guidelines, regulatory oversight, and ethical awareness to ensure that technology serves as a tool for justice rather than a source of new challenges.
Research Paper
International Journal of Law Management and Humanities, Volume 9, Issue 2, Page 3909 - 3931
DOI: https://doij.org/10.10000/IJLMH.1111982
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