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Artificial Intelligence and the Indian Legal System: Challenges, Regulation, and Accountability

Authored By: Rahena Parveen

Indian Institute of Legal Studies

Abstract

Artificial Intelligence (AI) is one of the most transformative technologies of the twenty-first century, affecting sectors such as healthcare, education, finance, governance, and the legal profession. In India, AI has the potential to improve access to justice, increase judicial efficiency, and simplify legal research. Courts, law firms, and government agencies are exploring AI-driven tools to support legal processes. However, the rapid adoption of AI raises serious legal and ethical concerns, including privacy violations, algorithmic bias, lack of transparency, intellectual property issues, cybercrime, and uncertain legal liability. India’s legal framework currently regulates AI indirectly through constitutional principles, information technology laws, data protection legislation, and judicial precedent. Despite these efforts, the absence of a dedicated AI regulatory framework makes it difficult to ensure accountability and protect fundamental rights. This article examines AI’s role in the Indian legal system, identifies major legal and regulatory challenges, and argues for a balanced legal framework that encourages technological innovation while protecting constitutional values and public interests.

Keywords: Artificial Intelligence, Indian Legal System, Privacy, Accountability, Data Protection, AI Regulation, Digital India.

I. Introduction

Artificial Intelligence (AI) is increasingly reshaping socio-technical systems across the world, influencing economic decision-making, public administration, policing, healthcare diagnostics, financial transactions, and interpersonal communication. India, with its large population, rapidly expanding digital infrastructure, and ambitious Digital India initiative, has emerged as one of the world’s largest markets and testing grounds for AI-powered solutions. From facial recognition tools deployed by law enforcement to algorithmic lending platforms, predictive policing applications, agricultural advisory systems, and smart mobility solutions, AI is becoming deeply embedded in governance and everyday life.

The legal sector is no exception. AI tools are increasingly used for legal research, document review, contract analysis, case prediction, and administrative support within courts. As India’s judicial system faces a significant backlog of cases, AI offers a chance to improve efficiency without displacing judicial discretion. Landmark decisions such as Justice K.S. Puttaswamy (Retd.) v. Union of India (2017) established privacy as a fundamental right, while Shreya Singhal v. Union of India (2015) reaffirmed freedom of expression in the digital domain. These judicial pronouncements form the bedrock upon which an accountability framework for AI must be built. Yet the absence of explicit statutory recognition of algorithmic harms leaves victims of automated injustice with limited redressal mechanisms.

AI systems also rely heavily on personal data for training and decision-making. Excessive collection and processing of this data raises concerns about privacy and surveillance — concerns that are particularly significant in India, where the right to privacy has been recognized as a fundamental right under Article 21 of the Constitution by the Supreme Court.

This article explores the relationship between AI and the Indian legal system by analyzing the opportunities AI brings alongside the significant legal, ethical, and regulatory challenges that accompany its rapid growth.

II. Artificial Intelligence in the Indian Legal System

Artificial Intelligence is slowly becoming an essential part of India’s legal system. At the 19th biennial state-level conference of judicial officers, then Chief Justice of India S.A. Bobde said that India has “the possibility of developing Artificial Intelligence for the court system, only for the purpose of ensuring that undue delay is prevented in the delivery of justice,” adding that AI could help the justice delivery system become efficient, time-bound, litigant-centric, affordable, accessible, cost-effective, transparent, and accountable.

Initiatives such as the e-Courts Project Phase III, AI-assisted legal translation, predictive policing, and AI-driven legal chatbots are reshaping the legal landscape, making processes faster, smarter, and more transparent. While the adoption of AI presents challenges — particularly around data security, ethical governance, and legal adaptation — its potential to strengthen India’s justice system is significant.

AI in Legal Research and Documentation

Advanced AI-powered tools assist judges and lawyers by streamlining legal research, identifying relevant case precedents, and summarizing judgments. This technology not only expedites the research process but also enhances the quality and consistency of legal documentation.

Another important initiative is SUVAS (Supreme Court Vidhik Anuvaad Software), an AI-based translation tool that converts judicial documents into regional languages. In a country as linguistically diverse as India, this initiative promotes inclusivity and ensures that citizens can access judgments in languages they understand, strengthening the constitutional promise of access to justice.

AI in Court Administration and Case Management

AI’s role is not confined to legal research. Indian courts are increasingly adopting e-filing systems, digital case management platforms, and virtual hearing mechanisms. The COVID-19 pandemic accelerated the use of video conferencing and online proceedings, demonstrating how technology can help ensure continuity in justice delivery even during a crisis.

III. Artificial Intelligence Systems Already Available in the Legal Field

KIRA System: Founded in 2011, KIRA is an AI system specially designed for recognizing, extracting, and examining clauses from contracts and other legal documents. KIRA can review thousands of unorganized third-party contracts in any file format within a short span of time. It is designed to review contracts in multiple languages, including Spanish, French, and German, and can learn new languages over time.

eBrevia: Developed in 2012 by two Harvard Law School graduates, eBrevia functions like an e-discovery tool, used to extract relevant text from long and complicated legal documents and contracts within a short period. eBrevia has since introduced a feature called Lease Abstractor, which helps law firms in real estate analyse leases and extract information necessary for budgeting, forecasting, cost recovery, and property management, among other purposes.

LawGeex: Developed in 2014, LawGeex is a contract review automation solution designed to manage, review, and approve daily contracts and business agreements through AI. It highlights text requiring correction, and approves a contract if it finds no issues. LawGeex typically takes less than an hour to review a contract.

IV. Existing Laws Shaping AI Governance in India

A) Information Technology Act, 2000 (IT Act)

The IT Act remains the backbone of digital governance in India. Key provisions include:

  • Section 79 — Safe harbour for intermediaries, subject to due diligence.
  • Cybercrime provisions (e.g., Section 66 for hacking, Section 67 for obscene material) that apply to AI misuse.

B) Bharatiya Nyaya Sanhita (BNS), 2023

The BNS, which replaced the Indian Penal Code, provides criminal recourse for AI misuse, including:

  • Cheating and fraud (Section 318/316 equivalents) — covering deepfake scams and impersonation for financial gain.
  • Defamation (Section 356) and misinformation causing public mischief (Section 353).
  • Obscene material (Section 294) — covering non-consensual deepfake pornography or explicit synthetic content.
  • Forgery and personation (Section 336 and related provisions) — covering AI-generated fake documents or identities.
  • Organized cybercrime (Section 111) — covering large-scale, coordinated deepfake operations.

C) Constitutional Provisions

At the constitutional level, the Constitution of India sets the foundation for regulating AI. Article 14 guarantees equality before the law and equal protection of the laws, meaning AI systems must operate without arbitrary or discriminatory outcomes. Article 19(1)(a) protects freedom of speech and expression, though it permits reasonable restrictions under Article 19(2) — a provision that becomes especially relevant in cases involving AI-generated misinformation or deepfakes. Article 21 guarantees the right to life and personal liberty, which the Supreme Court has interpreted to include the right to privacy.

V. Recommendations

  • AI should support learning, not replace it: Young lawyers often use AI for drafting, document review, and case analysis. This convenience can come at a cost to their learning and professional development if relied upon without critical engagement.
  • AI should be used by students as a learning aid, not a substitute for effort: Many students use AI for assignments, research, and moot court memorials. Overreliance on AI for this work risks affecting their independent thinking and depth of learning.

VI. Conclusion

Artificial intelligence presents significant opportunities to increase efficiency and capability within the legal sector. At the same time, it raises complex legal questions concerning privacy, discrimination, accountability, intellectual property, cybersecurity, and constitutional rights. Responsible AI adoption in India’s legal system will require strong data security, targeted legal reform, and meaningful transparency — so that AI supports, rather than replaces, human judgment in judicial processes.

Reference(S):

Case Law

Shreya Singhal v. Union of India, AIR 2015 SC 1523.

Justice K.S. Puttaswamy (Retd.) v. Union of India, (2017) 10 SCC 1.

Legislation

Information Technology Act, 2000.

Bharatiya Nyaya Sanhita, 2023.

Constitution of India.

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