Today, On 5th December, CJI Surya Kant emphasized, “Don’t Want AI to Overpower Judicial Decision Making,” stating that AI can assist but must not replace human judgment. The Supreme Court allowed withdrawal of a plea seeking regulation of AI use in the judiciary.
The Supreme Court on Friday heard a plea seeking regulation of what the petitioner described as unregulated use of artificial intelligence and machine-learning tools in the judicial system.
During the brief hearing, Chief Justice of India Surya Kant made it clear that the Court is already careful about how AI is used and that judicial decision-making will never depend on it.
CJI Surya Kant said,
“We use AI in a very conscious manner. We don’t want it to overpower judicial decision making. If you have suggestions, give them on the administrative side.”
Also Read: Will AI Replace Lawyers? The Future of AI in Law and Legal Practice
Appearing for the petitioner, Advocate Subhash Chandran argued that AI-generated content was leading to errors in trial courts.
He said,
“Lower courts have passed orders citing Supreme Court precedents that don’t even exist.”
In response, the CJI said judges are trained to verify citations and that the system continues to evolve.
He stated,
“Judges must cross check. This is already part of judicial training. With time, both the Bar and the Bench will learn. That does not mean we should issue directions.”
Chandran pointed out that the Supreme Court had already released a white paper on AI and that,
“The Supreme Court has a white paper, and many of our suggestions are included. Kerala High Court has also issued some guidelines.”
But the CJI repeated that the issue was not something the Court would address through judicial orders.
He said,
“We are aware, but we won’t say anything on the judicial side. You may give inputs on the administrative side.”
When the Bench showed disinclination to entertain the plea in its current form, Chandran said,
“This is non adversarial. If it’s not being entertained, I will withdraw.”
The CJI then remarked,
“Non-adversarial is fine, but this seems more for optics. Withdrawal allowed.”
How AI is Transforming the Legal Landscape
AI has already made significant inroads into the legal field, offering innovative solutions that enhance productivity and decision-making. Here are some key areas where AI is currently being utilized:
1. Document Review and E-Discovery
Legal professionals often deal with massive volumes of documents in litigation, due diligence, and regulatory compliance. AI-powered e-discovery tools use Natural Language Processing (NLP) and machine learning to swiftly scan, categorize, and extract relevant data. This significantly reduces the time and costs associated with manual document review, allowing legal teams to focus on case strategy rather than administrative tasks.
2. Legal Research with AI-Powered Platforms
AI is revolutionizing legal research in India by delivering precise, contextually relevant case law, statutes, and regulations with unprecedented speed. Platforms like Lexlegis.ai (India’s first legal AI platform) and CaseMine are leading the way in AI-powered legal research, enabling lawyers to quickly access critical legal information. SpotDraft and Kira Systems enhance contract management and analysis, automating the review process to identify key clauses and potential risks efficiently. Meanwhile, LawGeex and Casetext streamline contract review and document drafting with AI-driven insights. Established legal research providers like LexisNexis and Westlaw Edge have also integrated AI to enhance legal research capabilities.
3. AI-Driven Contract Analysis and Management
AI-powered contract analysis tools can efficiently review, draft, and analyze legal agreements. These tools detect crucial clauses, flag potential risks, ensure compliance, and even suggest modifications based on best practices. By automating these processes, AI minimizes human error and accelerates contract negotiations, allowing legal professionals to focus on high-value advisory roles.
4. Predictive Analytics for Case Outcomes
AI can assess the probability of success in legal disputes by analyzing historical case data, judicial decisions, and litigation trends. Predictive analytics tools enable lawyers to:
- Anticipate case outcomes based on past rulings.
- Develop data-driven legal strategies.
- Advise clients with greater accuracy regarding settlement possibilities or trial risks.
Also Read: “AI For All”: Centre Introducing Legislation To Regulate Artificial Intelligence (AI)
Law firms increasingly rely on AI-driven analytics to enhance decision-making and optimize litigation strategies.
5. AI-Powered Chatbots and Virtual Legal Assistants
AI chatbots and virtual assistants are revolutionizing client interactions by handling routine legal queries, scheduling appointments, and providing preliminary legal guidance. These tools improve efficiency by:
- Offering instant responses to frequently asked legal questions.
- Assisting in form-filling and case intake.
- Reducing administrative workload, allowing lawyers to focus on complex legal matters.
AI-driven legal assistants enhance client engagement while ensuring cost-effective service delivery.
READ MORE REPORTS ON ARTIFICIAL INTELLIGENCE

