AI, SOCIETY AND THE FUTURE OF LEGAL EDUCATION
Ms. Surabhi Vinod Daga, Ph.D Student, Adv. Ramkrishnaji Rathi Law College, Ph.D Research Centre, Washim, Affiliated to Sant Gadge Baba Amravati University, Amravati (India)
Artificial Intelligence is rapidly changing the legal world. Earlier, AI was mainly used for office work such as managing files, searching cases, or preparing documents. Today, it is becoming a powerful tool that can assist in legal thinking, predict outcomes of cases, and support decision-making. This transformation is not only changing the legal profession but also influencing society and the future of legal education. Although AI has made legal information easier to access, questions related to justice, fairness, ethics, and human responsibility still remain important. This paper argues that the biggest challenge before law schools is not simply teaching students how to use technology, but preparing them for a future where lawyers and intelligent machines will work together. The study introduces the concept of “Algorithmic Advocacy,” which means lawyers of the future must understand both law and technology. When AI performs research and complex legal analysis, the true value of a lawyer will depend more on human qualities such as ethical judgment, emotional understanding, creativity, and critical thinking. The paper further explains that traditional methods of legal education are no longer enough in the digital age. Future law schools must create practical and interdisciplinary learning spaces where students can work with AI tools, analyse algorithmic bias, and understand the relationship between technology, society, and justice. The study concludes that AI should not be viewed as a replacement for lawyers, but as a partner that can help build a faster, smarter, and more accessible justice system. To achieve this, legal education must evolve with the changing realities of the modern world.
| 📄 Type | 🔍 Information |
|---|---|
| Research Paper | LawFoyer International Journal of Doctrinal Legal Research (LIJDLR), Volume 4, Issue 3, Page 632–647. |
| 🔗 Creative Commons | © Copyright |
| This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License . | © Authors, 2026. All rights reserved. |