Written by Chinky Adhana, Vth sem LLB (Hons.) student at K.R. Mangalam University
INTRODUCTION
“Justice delayed is justice denied.” This adage sums up the long-standing struggle of the Indian judiciary, which is currently dealing with one of the worst case backlogs in the world. Over fifty million lawsuits are still outstanding in Indian courts, according to Fortune India report 2024. Legal experts predict that if no major structural reform is implemented, it will take more than three centuries to resolve this pendency at the current rate of disposal. Because of the magnitude of this problem, using artificial intelligence (AI) is not only desirable but also essential to rebuilding the justice system’s effectiveness and credibility.
AI has already revolutionized a number of sectors, including education, healthcare, and finance. Its slow introduction into the legal system marks the start of a technology revolution that has the potential to completely change the way justice is administered in India. Adoption of AI necessitates careful consideration of ethics, privacy, openness, and the human nature of judicial reasoning, notwithstanding the significant promise.
CURRENT DEVELOPMENT OF AI IN INDIAN JUDICIARY
The Supreme Court of India has led a number of efforts to incorporate AI into legal procedures in recent years. The Supreme Court Vidhik Anuvaad Software (SUVAS) is among the first and most influential initiatives. SUVAS, which was created with assistance from the Ministry of Electronics and Information Technology, is intended to translate rulings and directives between English and a number of Indian languages. By doing so, it overcomes a long-standing linguistic divide that has often obstructed citizens’ access to justice. According to official data made public by the Supreme Court’s e-Committee, the program has translated over 31,000 rulings in a single year.
Launching the Supreme Court Portal for Assistance in Court Efficiency (SUPACE) in April 2021 is another important step. SUPACE is an AI-powered tool that helps judges manage large case files, analyze papers, and find pertinent precedents. Crucially, it assists judicial officers by lessening their research burden rather than rendering decisions on its own. The National e-Government Plan’s e-Courts Project, which focuses on digitizing case records, virtual hearings, and process automation, supports these initiatives. When taken as a whole, these initiatives show India’s growing trend toward a knowledgeable and technologically advanced court.
OPPORTUNITIES : HOW AI CAN STRENGTHEN THE JUDICIARY
The ability of AI to improve accuracy and efficiency is its biggest benefit for the legal system. India’s courts are under tremendous administrative strain, with more than 50 million cases still pending. Judges can focus on substantive adjudication by using AI to automate a number of routine duties, including case classification, filing verification, and hearing scheduling. Reducing pendency and guaranteeing prompt justice can be greatly aided by this technology.
AI improves the caliber of legal research as well. In only a few seconds, programs like SUPACE may quickly scan thousands of decisions, extract the most pertinent parts, and provide succinct summaries. By offering a larger body of similar precedents, such capabilities not only increase accuracy but also guarantee consistency in legal reasoning. Thus, AI is a very useful research helper for both judges and advocates.
Language inclusion is another area that shows promise. Due to the fact that the majority of court rulings and legal papers are only available in English, India’s enormous linguistic diversity frequently presents obstacles to justice. By enabling citizens and litigants to read court rulings in their native tongues, SUVAS’s translation capabilities directly address this problem. This step brings the legal system closer to the people and furthers the constitutional objective of equitable access.
Additionally, AI can also benefit litigants who do not have access to legal counsel. People can get basic information about filing procedures, case status, and court scheduling via chatbots and virtual assistants. Beyond this, data-driven AI systems can facilitate evidence-based court reforms by assisting researchers and policymakers in identifying trends, such as the frequency of bail approvals, the average time for case resolution, or the causes for adjournments.
CHALLENGES
1. Algorithms Bias
AI gains knowledge from past data, which might include structural or social biases. These could affect results or sustain discrimination if left unchecked.
2. lack of transparency
The majority of AI systems operate as “black boxes,” making it challenging to describe how an outcome or recommendation was produced. Fairness and accountability are at danger because of this.
3. Data security and privacy
Sensitive personal information is contained in court records. Data breaches may result from improper handling or third-party participation. Although a framework is provided by the Digital Personal Data Protection Act, 2023, judicial data requires additional protection.
4. Danger to the Independence of the Court
The importance of human reasoning in justice may be diminished if judges start to rely significantly on AI recommendations. AI must continue to be a tool for support rather than for making decisions.
5. Lack of a legal framework
India’s judiciary does not have specific laws concerning AI. Unanswered questions include “Who is responsible for an AI error?”
FINDING THE BALANCE
India must carefully balance innovation and caution to ensure that AI enhances rather than undermines justice. All AI applications should continue to be centered around human oversight. AI should only be used as a helpful tool, and judges should maintain complete control over every judgment. Only explainable and auditable AI models should be used; transparency must be the guiding principle. Encryption, limited access, and regular audits are necessary to safeguard the secrecy of judicial data.
The necessity of ongoing training for judges, attorneys, and court employees is equally crucial. Both technological infrastructure and AI knowledge are necessary for the successful adoption of AI. To help the legal community get ready for this shift, judicial academies can offer brief courses on algorithmic understanding and technology ethics.
India should eventually create a thorough legislative framework for AI in the legal system. The e-Committee of the Supreme Court could work with academic institutions and NITI Aayog to develop moral standards that align with international values like the UNESCO Recommendation on the Ethics of Artificial Intelligence (2021). These rules must to specify accountability procedures, guarantee fairness testing, and require impartial audits of AI systems utilized in legal proceedings.
CONCLUSION
The Indian judiciary faces both opportunities and challenges from artificial intelligence. It can make the system speedier, more transparent, and more inclusive. However, the human conscience at the core of judicial decision-making should never be overshadowed by technology. Three fundamental principles such as transparency, accountability, and human control must underpin AI’s application if it is to genuinely serve justice.
The judiciary of the future would not only be more effective but also more equitable, accessible, and compassionate if India can keep this equilibrium.
