Pursued LL.M. from Queen Mary University of London, United Kingdom
Advocate in India
The implementation of artificial intelligence (AI) in law firms and the justice system has altered the legal profession's working patterns. When AI is used in law firms and corporations' offices, young lawyers are particularly concerned that their professional and job opportunities, including paralegal jobs, will be reduced. The judicial administrators, on the other hand, are deeply concerned about the benefits and drawbacks of introducing robot judges to hear and decide certain minor civil and criminal cases. According to AI experts, there is still disagreement about whether artificial intelligence will play a significant role in the legal profession and justice systems. Whether AI can reduce the backlog of cases without detracting from the justice system's enshrined principles and policies, and whether the AI’s applicability is free from bias. How well can AI be used in the legal field and justice system, for things like police investigations and questioning of witnesses? So, lawyers and people who work in the court system need to know AI terminology and how it applies to algorithms and AI biases. How will this AI differ from human intelligence? Law school curricula must include machine learning and artificial intelligence for the benefit of future legal professionals to be familiar with the latest technologies. This paper discusses AI in order to help lawyers or law practitioners and judicial officers understand the most recent AI trends, terminology, biases, ethics, applicability, adaptability, and differences between AI, machine learning, deep learning, and statistics. This paper has further delved into the pros and cons of AI adaptability in the legal profession and justice system on account of the research reviews published in web portals, AI books, precedents, and opinions of AI experts, legal luminaries, and judges. This paper provides an opportunity to learn about and comprehend AI and its functions, as well as its limitations and future constraints and the need for a comprehensive regulatory framework to govern AI, it is purely from an academic perspective.
International Journal of Law Management and Humanities, Volume 6, Issue 2, Page 1084 - 1124DOI: https://doij.org/10.10000/IJLMH.114491
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