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  Authors

Dr. Akshatha A P

  Keywords

Artificial Intelligence; Legal Education; Legal Technology; Data Protection; Academic Integrity; Access to Justice; Algorithmic Accountability; Bar Council of India

  Abstract


Abstract Over the past three years law schools have changed in ways nobody planned for. Artificial intelligence has moved from the margins of the syllabus into the ordinary working day of students and teachers, so that law is now researched, taught and drafted with machine assistance, and in a few jurisdictions decided with it too. This article sets out to examine what that shift involves. It follows a line of development from case-method instruction, through the migration of legal materials to electronic databases and the arrival of e-filing, to classrooms in which adaptive modules and natural-language research tools come pre-installed. There are things here worth having. Retrieval is quicker. A student can rehearse drafting far more often than any teacher could realistically mark, run an advocacy simulation on a Tuesday evening, or work through a module pitched to what she personally got wrong last week; and legal aid, at the far end of all this, might reach people it does not reach now. The costs are no less concrete. Uneven distribution of infrastructure. Lack of training to the faculties. No judicial decisions on generative systems produce authority. Difficulties in auditing authorship to police and student data accumulates servers. Worst of all, students may quietly stop doing the analytical work a legal education exists to teach. The argument is grounded in Indian law throughout. Four sources do most of the work: the privacy right recognised in Justice K.S. Puttaswamy (Retd.) v. Union of India, ; the Digital Personal Data Protection Act, 2023 ; the Information Technology Act, 2000 ; and the positions the University Grants Commission and the Bar Council of India have taken, or in the Bar Council's case declined to take. Indian material is thin, so researcher has supplemented it from three comparative sources: the UNESCO Guidance for Generative AI in Education and Research (2023) , the OECD Recommendation on Artificial Intelligence (OECD/LEGAL/0449) , and Regulation (EU) 2024/1689. The method is doctrinal. Fifteen findings emerge, and fifteen recommendations follow from them, addressed to universities, the Bar Council, the UGC, faculty and students. There is a potential force on legal education in choosing between human judgment and AI assistance. The real choice is not whether AI will become part of legal education, but how it will be used. Law schools can either adopt it in a structured way, with proper supervision, verification, and meaningful human oversight, or allow it to spread without guidance. If left unchecked, its use could undermine analytical rigour, weaken professional responsibility, and widen existing challenges in access to justice.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2608378

  Paper ID - 312787

  Author type - Indian Author

  Page Number(s) - d500-d517

  Pubished in - Volume 14 | Issue 8 | August 2026

  DOI (Digital Object Identifier) -    https://doi.org/10.56975/ijcrt.v14i8.312787

  No Of Downloads - 77

  Author Country - India, 574220, Kabaka, Kabaka, 574220, Others area

  Publisher Name - IJPUBLICATION | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Published Paper PDF : - http://www.ijcrt.org/papers/IJCRT2608378

  Published Paper URL: : - http://ijcrt.org/viewfull.php?&p_id=IJCRT2608378

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Dr. Akshatha A P,   "ARTIFICIAL INTELLIGENCE IN LEGAL EDUCATION: OPPORTUNITIES, CHALLENGES, AND ETHICAL IMPLICATIONS FOR THE FUTURE OF LEGAL PRACTICE", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.14, Issue 8, pp.d500-d517, August 2026, Available at :http://www.ijcrt.org/papers/IJCRT2608378.pdf

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