Why Justice Pankaj Mithal’s Farewell Address Calls for Reform of Case Backlogs and AI Governance in the Judiciary

Justice Pankaj Mithal, addressing his colleagues and the broader legal community in a farewell speech, publicly identified the persistent problem of judicial pendency that continues to burden the Indian court system. He further warned that the unchecked deployment of artificial intelligence within judicial processes poses significant risks to the fairness, transparency, and accountability that are foundational to the rule of law and constitutional guarantees. The significance of his remarks lies in the intersection of two pressing concerns: the longstanding backlog of cases that impedes timely justice and the emerging technological challenge of ensuring that AI tools do not compromise legal rights or undermine procedural safeguards. By raising these issues in his parting address, Justice Mithal signals a call for judicial and legislative stakeholders to consider reforms that address case management inefficiencies while also establishing robust regulatory frameworks governing AI use to protect fundamental rights. His critique of judicial pendency underscores the constitutional imperative that every citizen is entitled to a speedy trial, a principle repeatedly enshrined in Supreme Court jurisprudence demanding systemic efficiency. Similarly, his caution regarding AI reflects apprehensions that algorithmic decision‑making, if left without appropriate oversight, could inadvertently encode biases, leading to discriminatory outcomes contrary to equality jurisprudence. The speech, therefore, serves as a catalyst for debate about whether existing procedural statutes and constitutional safeguards are sufficient to govern emerging technologies that may influence judicial determinations. In highlighting both enduring and novel challenges, Justice Mithal implicitly invites the judiciary, legislature, and executive to collaborate on comprehensive strategies that simultaneously reduce case backlogs and institute principled AI governance mechanisms.

One question is whether the persistent judicial pendency highlighted by Justice Mithal rises to a breach of the constitutional right to speedy trial, thereby inviting possible judicial review of systemic inefficiencies. The answer may depend on whether courts interpret the right as imposing not only procedural timelines on individual cases but also substantive obligations on the judiciary to allocate resources and adopt case‑management reforms.

Another possible view is whether the unchecked use of artificial intelligence in adjudicative processes could contravene the principles of natural justice by obscuring the reasoning behind decisions, thereby challenging the legitimacy of judicial outcomes. Perhaps the more important legal issue is whether existing procedural safeguards and constitutional guarantees of fairness provide an adequate framework to regulate algorithmic assistance, or whether explicit legislative measures are required to ensure accountability and transparency.

A further question is whether the legislature should enact comprehensive AI governance statutes that delineate permissible uses within the judiciary, prescribe standards for algorithmic auditability, and impose liability for erroneous outcomes. The answer could hinge on balancing the potential efficiency gains against the risk of undermining procedural fairness, requiring a nuanced approach that incorporates both technological expertise and constitutional safeguards.

Perhaps the procedural significance lies in how high courts and the Supreme Court might issue guidelines or directives mandating case‑flow management systems, thereby operationalizing the constitutional impetus for speedy justice. A competing view may argue that without adequate funding, training, and infrastructural support, such directives could amount to empty rhetoric, highlighting the need for coordinated executive action to complement judicial initiatives.

The ultimate legal position may turn on whether future jurisprudence integrates these twin concerns of pendency and AI, crafting a doctrine that upholds both procedural efficiency and the constitutional guarantee of fair, transparent adjudication.

Another possible view is whether aggrieved parties could resort to public interest litigation to compel the judiciary or government to formulate binding norms on AI usage, thereby invoking the doctrine of locus standi for broader societal interests. The answer may depend on judicial willingness to entertain such petitions, balancing the need for technological progress with the imperative to protect fundamental rights against opaque decision‑making tools.

A comparative perspective could examine how other jurisdictions have addressed similar challenges, suggesting that India might adopt a layered regulatory model that combines statutory oversight with judicial guidelines to ensure coherence and accountability. Nevertheless, any import of foreign frameworks must be reconciled with the unique constitutional architecture and federal structure of India, requiring careful tailoring to preserve sovereign judicial independence.

Finally, a question remains whether a statutory oversight body should be established to monitor AI applications in courts, conducting periodic reviews, issuing compliance reports, and recommending corrective measures to safeguard procedural integrity.