The Digital Gavel: Navigating the AI Revolution in India’s Courtrooms

Mr. Anant Hooda

Research Scholar

Chaudhary Devi Lal University (CDLU)

  1. For decades, the Indian judicial system has been synonymous with two things: profound constitutional wisdom and a staggering mountain of pending cases. From the bustling hallways of the Supreme Court in Delhi to the remote District Courts in rural Odisha, the phrase “justice delayed is justice denied” is not just a legal maxim—it is a lived reality for millions struggling under a backlog that has now surpassed 50 million cases.

But a quiet revolution is brewing. As we navigate the early months of 2026, the “Digital India” initiative has reached the inner sanctum of the judiciary, marking a “reset moment” where technological innovation converges with an urgent imperative for reform. Artificial Intelligence (AI) is no longer a science-fiction trope; it is a digital clerk, a legal researcher, and a predictive tool already assisting in the administration of justice. However, as we hand over the keys of the courtroom to algorithms, we must ask: Are we trading the soul of justice for the speed of a processor?

 
 

The Indian Context: A System Under Pressure

To understand why India is so keen on AI, one only needs to look at the numbers. The human capacity to process, analyze, and adjudicate is stretched to its breaking point due to a chronic lack of judges and ever-increasing litigation. Estimates suggest that at the current pace, it would take human judges over 300 years to clear the existing backlog.

The Indian government and the Supreme Court have already taken proactive steps to address these inefficiencies through the e-Courts Project Phase III, which officially launched with a massive allocation of ₹7,210 crore. The judiciary is moving toward a regime of “maximum ease of justice” through paperless, digital, and online courts.

Current flagship AI initiatives include:

SUPACE (Supreme Court Portal for Assistance in Court’s Efficiency): This AI tool assists judges by extracting facts from lengthy case files and identifying relevant precedents without making final recommendations, ensuring that judges maintain full decision-making authority.
SUVAS (Supreme Court Vidhik Anuvaad Software): A machine learning-driven tool that has successfully translated thousands of Supreme Court judgments into regional languages, addressing the critical linguistic barrier to legal access.
Digital Courts 2.1: This suite introduces AI-enabled dictation (ASR-SHRUTI) for judicial writing and linguistic structuring tools (PANINI) to reduce manual drafting time for orders.
 
 

The Promises of an AI-Enhanced Judiciary

The integration of AI into litigation offers several benefits that align with the fundamental right to a fair trial, particularly the right to a “hearing within a reasonable time”.

1. Shattering the Backlog through Smart Management

AI-driven tools are now deployed for smart scheduling, case prioritization, and proactive backlog reduction. These systems use predictive analytics to forecast potential delays, ensuring that judicial resources are optimally allocated. For instance, AI can help club similar cases, such as Section 138 cheque bounce matters or traffic challans, which contribute significantly to pendency.

2. Transparency via Real-Time Transcription

One of the most visible changes is the transcription of oral arguments. AI speech recognition now enables near real-time transcription of proceedings, which is released on official platforms to enhance transparency and ensure record accuracy. This system is being gradually extended from Constitution Bench proceedings to regular hearing days.

3. Levelling the Playing Field in Legal Research

For lawyers, AI-driven platforms such as SCC Online have transformed research from hours of manual sifting into minutes of contextualized comprehension. These tools allow practitioners to ask legal questions in plain language, helping them focus on strategy and high-value advocacy rather than mechanical searches.

 
 

The Ethical Minefield: When Algorithms Hallucinate

Despite these benefits, the transition to “Algorithmic Justice” is fraught with peril. The right to a fair trial rests on pillars that a machine may not fully comprehend.

1. The “Black Box” Problem and Transparency

Modern AI models often operate as a “black box,” providing outputs without an internal logic that is easily explainable to human users. Under Indian law, judges must provide “reasoned orders”—clear explanations of their logic to ensure accountability. If an AI influences a verdict but its reasoning is ambiguous, judicial integrity is compromised.

2. Hallucinations and Fictitious Precedents

In February 2026, the Supreme Court flagged an “alarming” trend: lawyers citing non-existent case laws generated by AI. Justice Nagarathna recalled an instance where a lawyer cited a fictitious case titled “Mercy vs Mankind”. This phenomenon of “AI hallucination” poses a grave risk to the accuracy and truth that underpin the judicial process.

3. The Persistence of Bias

AI is only as fair as its training data. If historical datasets reflect prejudices, the AI could perpetuate or even amplify social hierarchies based on caste, religion, or economic status. Without strict regulatory controls and meticulous human oversight, these systems may entrench rather than eliminate discrimination.

 
 

The “Natural Judge” vs. The “Robot Judge”

In the Indian legal tradition, judicial power must remain with human judges who possess empathy, moral reasoning, and the ability to break from the past when justice demands it. The Supreme Court’s AI Committee has established clear boundaries: AI assists with administrative tasks but cannot draft judgments or make outcome predictions.

A major concern is “cognitive atrophy”. If judges become too reliant on AI-generated summaries and suggestions, their own critical thinking skills may deteriorate over time, turning them into “rubber stamps” for machine-driven outcomes. Furthermore, judicial independence demands that the judiciary—not the executive branch—controls the configuration of these tools.

 
 

Bridging the AI Divide

While AI promises greater access to justice, it risks widening the gap between tech-savvy urban populations and rural communities. With obstacles like low internet penetration and digital illiteracy in isolated locations, the benefits of digital services may not reach everyone equally. The “India AI Impact Summit 2026” specifically focused on democratizing AI to ensure it becomes an inclusive tool rather than a source of further inequality.

To maintain the “Equality of Arms” principle, AI initiatives must prioritize inclusive digital literacy and support for local languages. Projects building on Digital Public Infrastructure (DPI) are essential steps toward creating AI solutions tailored for all Indian citizens.

 
 

The Path Forward: Human-Centric Innovation

The gavel must remain in human hands. To safeguard our democracy, India’s approach to judicial AI in 2026 and beyond must prioritize:

Mandatory Human Oversight: AI tools cannot determine findings; responsibility for the integrity of judicial decisions rests solely with human judges.
Explainable AI (XAI): Prioritizing tools that provide clear, citeable justifications for their suggestions.
Robust Governance Frameworks: Developing comprehensive legislation like the proposed AI Governance Guidelines to balance innovation with accountability.
Verification-First Workflows: Lawyers and judicial officers must meticulously ensure that AI-generated content is accurate before it is cited in proceedings.

AI can shine a light on the path to justice by reducing friction and delays, but the final judgment—the act of balancing law with human dignity—must always be a human one.

 
 

References

Times of India (Feb 11, 2026): Challenge is not whether to use AI, but how to use it – https://timesofindia.indiatimes.com/city/delhi/challenge-is-not-whether-to-use-ai-but-how-to-use-it-justice-karol/articleshow/128218953.cms
ICTworks (Feb 17, 2026): How 5 Judicial AI Solutions Are Proving Skeptics Wrong in India – https://www.ictworks.org/how-5-judicial-ai-solutions-are-proving-skeptics-wrong-in-india/
Press Information Bureau (Feb 11, 2026): From Digitisation to Intelligence: How AI is Enhancing Access to Justice in India – https://www.pib.gov.in/PressReleseDetail.aspx?PRID=2226283&reg=6&lang=1
UNDP (Jan 14, 2026): Experts discuss safeguards for AI in Indian courts – https://www.undp.org/india/press-releases/ahead-india-ai-impact-summit-experts-discuss-safeguards-ai-indian-courts
JSA Law (Feb 16, 2026): Artificial intelligence, deepfakes, and the law: India’s judicial moment – https://www.jsalaw.com/articles-publications/artificial-intelligence-deepfakes-and-the-law-indias-judicial-moment/
Microsoft Source Asia (Jan 21, 2026): Code of law: How AI is helping India’s lawyers work faster – https://news.microsoft.com/source/asia/2026/01/21/code-of-law-how-ai-is-helping-indias-lawyers-work-faster/
Legalspace.ai (Jan 11, 2026): AI Redefining Legal Drafting Standards in India – https://legalspace.ai/blog/ai-legal-drafting-standards-india-2026
Woxsen University (2025/2026): Exploring The Use of AI In Legal Decision Making – https://woxsen.edu.in/research/white-papers/exploring-the-use-of-ai-in-legal-decision-making-benefits-and-ethical-implications/
Acuity Law (Dec 24, 2025 / Feb 2026): Integrating Intelligence: The Courts’ Evolving Engagement with AI – https://acuitylaw.co.in/integrating-intelligence-the-courts-evolving-engagement-with-ai/
Law Jurist (Sep 28, 2025): Regulating AI in India: Legal Challenges and the Way Forward – https://lawjurist.com/index.php/2025/09/28/regulating-artificial-intelligence-in-india-legal-challenges-developments-and-the-way-forward/
Press Information Bureau (Feb 2026): India AI Governance Guidelines – https://www.pib.gov.in/PressReleasePage.aspx?PRID=2228315
Prashant Mali Blog (Feb 2026): AI Laws and Regulations in India as of 2026 – https://www.prashantmali.com/cyber-law-blog-india/ai-laws-and-regulations-in-india-as-of-2026
The Hindu (Feb 17, 2026): Supreme Court flags risks of using AI for drafting petitions – https://www.thehindu.com/news/national/supreme-court-flags-the-risks-of-using-ai-for-drafting-petitions/article70644488.ece
Frontiers in Computer Science (Feb 4, 2026): AI and the digital divide – https://www.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2026.1759027/full
NeGD (Jan 2, 2026): India AI Impact Summit: Democratizing AI, Bridging the AI Divide – https://negd.gov.in/press_release/india-ai-impact-summit-2026-to-focus-on-democratizing-ai-bridging-the-ai-divide/
Carnegie Endowment (Nov 2024 / 2025): India’s Advance on AI Regulation – https://carnegieendowment.org/research/2024/11/indias-advance-on-ai-regulation
ResearchGate (2026 update): Bridging the Digital Divide: An Evaluation of the Digital India Initiative – https://www.researchgate.net/publication/400642215_Bridging_the_Digital_Divide_An_Evaluation_of_the_Digital_India_Initiative

 

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