Artificial Intelligence and the Dangerous Side of Deepfakes Author: Khushboo GuptaStudent, MKLM’s Adhia College of Law, Mumbai ————————————————————————————– 💡 3 Quick Takeaways Abstract India has witnessed remarkable technological growth in recent decades. Advancements in technology have become an integral part of daily life, influencing communication, employment, access to information, and decision-making. While technological development has […]

The Evolution of Alternative Dispute Resolution in the 21st Century: Technology, Globalisation, and the Future of Justice Author: Hiba IliyasStudent, University of Lucknow, Lucknow 💡 3 Quick Takeaways Abstract Disputes can now be resolved through a variety of Alternative Dispute Resolution (ADR) mechanisms rather than exclusively through traditional courts. These mechanisms include arbitration, mediation, negotiation,

Breach of Contract and Remedies: A Practical Legal Analysis from a Litigation Perspective Author: Amandeep KaurStudent, University of Nicosia, Nicosia —————————————————————– 💡 3 Quick Takeaways Introduction: When Agreements Begin to Fail In legal practice, breach of contract rarely begins in a courtroom. More often, it starts with seemingly minor issues—a missed deadline, an incomplete obligation,

When Welfare Overrides Autonomy: The Doctrine of Pith and Substance as a Tool to Undermine Tribal Self-Governance Author: Avinash SankarStudent, School of legal studies, cochin university of science and technology,kerala ——————————————————————————————————————————— 💡 3 Quick Takeaways Abstract The Fifth Schedule of the Constitution of India, read with Article 244, vests the Governor with special regulatory powers

Algorithmic Bias in the Indian Legal System: Constitutional Challenges and the Need for Accountability Author: Anjel Shristi MinzStudent, Viniba Bhave University, University Law College, Hazaribagh, Jharkhand —————————————————————————————————————————————— 💡 3 Quick Takeaways Abstract Algorithmic bias refers to systematic and unfair outcomes generated by computer algorithms as a result of flawed datasets, biased training information, or problematic