Artificial Intelligence (AI) & Indian Legal System

Syllabus: GS2/Judiciary; Governance; GS3/Role of IT 

Context

• There is a growing demand of using Artificial Intelligence (AI) because of growing judicial pendency, expensive legal services and complex procedures as India pursues its Viksit Bharat 2047 ambition.

About Artificial Intelligence (AI) in the Indian Legal System

• AI refers to technologies that enable machines to perform tasks requiring human intelligence, such as analysing information, recognising patterns, understanding language and generating responses.
• It can assist in legal research, document analysis, translation, case management, contract verification and identification of relevant judicial precedents.
• Its potential extends beyond improving judicial efficiency. It can make legal knowledge accessible to ordinary citizens, small businesses and vulnerable communities at relatively low cost.

Why Does India’s Legal System Need Reform?

• High Judicial Pendency: The National Judicial Data Grid (NJDG) records more than five crore pending cases in district courts.
• Delayed Contract Enforcement: The World Bank’s last Doing Business assessment estimated that enforcing a contract took 1,445 days, almost four years.
• Economic Costs: Delayed dispute resolution discourages investment, increases business uncertainty and raises transaction costs.
• Limited Access To Justice: Expensive legal representation, language barriers and low legal awareness disproportionately affect weaker sections.
• Administrative Inefficiencies: Frivolous litigation, repeated government appeals, poor documentation and procedural complexity burden courts.
• Inconsistent Outcomes: Delays and concerns regarding transparency and accountability in certain parts of the judicial system weaken public confidence.

AI: From Judicial Efficiency to Democratisation of Legal Access

• The conventional approach to AI in the judiciary focuses on helping judges and lawyers process cases faster.
  • However, India needs a broader approach.
• AI can democratise legal expertise by enabling citizens to understand their rights, interpret documents, identify regulatory requirements and prevent disputes before they reach courts.
• For instance, a farmer could use AI to examine land records and compensation orders, while a small entrepreneur could identify problematic contractual clauses before signing an agreement.
• This approach shifts the focus from merely accelerating litigation to reducing the need for litigation.

Key Efforts and Initiatives Related to AI in the Indian Legal System

• Supreme Court Portal for Assistance in Court Efficiency (SUPACE): Assists judges in legal research, document analysis and information processing.
• Supreme Court Vidhik Anuvaad Software (SUVAS): Facilitates translation of judicial documents into regional languages.
• e-Courts Project Phase III: Approved in 2023 with an outlay of ₹7,210 crore to strengthen digital infrastructure and improve access to justice.
• National Judicial Data Grid: Provides information on case pendency and disposal, supporting transparency and judicial planning.
• Tele-Law: Uses digital communication facilities to connect citizens, particularly rural communities, with legal advice.
• Nyaya Bandhu: Promotes access to pro bono legal services through digital platforms.

Key Issues and Concerns

• Algorithmic Bias: Biased training data may produce discriminatory recommendations and outcomes.
• Accuracy & Hallucinations: AI-generated responses may contain incorrect legal provisions or fabricated judicial precedents.
• Data Privacy: Legal documents frequently contain sensitive personal and financial information.
• Digital Divide: Limited internet access, digital literacy and regional-language capabilities may exclude vulnerable communities.
• Accountability: Responsibility for errors in AI-assisted legal advice and decision-making needs to remain clearly defined.
• Human Oversight: Excessive dependence on automated recommendations may undermine judicial independence and independent legal reasoning.

Reforms to Transform India’s Legal Ecosystem

• Make Legal Capability a Public Service: India should consider a National Legal Capability Mission to provide every citizen and small business with free initial legal guidance by 2030.
  • Multilingual AI-based legal assistants could help citizens understand legal rights, examine documents, identify applicable regulations and prepare for professional consultations.
  • Voice-based interfaces and assisted services through Common Service Centres (CSCs) would ensure inclusion of rural populations and digitally disadvantaged groups.
• Build a Sovereign and Reliable Digital Repository of Indian Law: Indian laws, rules, notifications and judicial decisions are dispersed across multiple government portals.
  • All ministries and regulatory authorities should consolidate and regularly update their legal information in machine-readable formats such as Akoma Ntoso, an international standard for legal documents.
  • AI-enabled search systems could organise judgments by subject, identify conflicting interpretations and make the legal framework easier to understand.
  • A reliable, regularly updated repository would improve legal certainty and reduce misinformation.
• Use AI to Reduce Transaction Costs and Prevent Disputes: AI can identify risks before transactions are completed.
  • Property Transactions: Examine title deeds, ownership history, inheritance records and land-use restrictions.
  • Business Contracts: Identify ambiguous, unfair or potentially conflicting clauses.
  • Tax Administration: Detect inconsistent assessments and distinguish genuine disputes from administrative errors.
  • Government Administration: Help officials verify whether decisions comply with applicable rules.
  • Traffic Enforcement: Enable digital verification and accessible grievance redressal for routine violations.
• Such preventive applications can reduce unnecessary litigation and improve the ease of doing business.

Way Forward: Towards Viksit Bharat 2047

• India needs to complement AI adoption with judicial appointments, better court administration, procedural simplification, alternative dispute resolution and accountability in government litigation.
• A robust regulatory framework should ensure data protection, algorithmic transparency, independent audits, multilingual accuracy and meaningful human oversight.
• The objective should not be to create an automated judiciary but to establish a citizen-centric legal ecosystem.

Conclusion

• For decades, access to justice has primarily meant making courts more accessible. AI offers India an opportunity to go further: making the law itself understandable, affordable and accessible. 
• India can transform justice from a reactive service into an everyday public capability, strengthening both the rule of law and the foundations of Viksit Bharat 2047 by reducing legal uncertainty and preventing avoidable disputes.

Source: HT