Digital Policing And Due Process: Legal Challenges Of Surveillance Technologies In India’s Police Mechanism

Abstract

India’s police institutions are undergoing an accelerated digital transformation marked by interoperable crime databases, biometric and facial recognition deployments, platform-mediated intelligence access, and digitally captured evidentiary workflows. These shifts are frequently defended as modernization measures intended to improve investigation quality, coordination, and conviction outcomes. Yet the legal architecture governing surveillance and data-driven policing remains fragmented across constitutional doctrine, sectoral statutes, executive rules, and platform design choices, producing a structural gap between technologically intensified policing and the procedural guarantees associated with due process. This paper offers a doctrinal and normative analysis of the legality, necessity, proportionality, and procedural fairness of contemporary surveillance technologies within Indian policing. It argues that due process concerns are not confined to isolated abuses or “privacy” narrowly conceived; rather, they arise systemically from the end-to-end pipeline of surveillance-based policing: collection, aggregation, algorithmic inference, evidentiary production, and adjudicative reliance. Drawing on constitutional privacy and fairness jurisprudence, interception safeguards, emergent digital evidence infrastructures, and comparative benchmarks for lawful surveillance, the paper develops a due process framework tailored to digital policing. It concludes that India requires a surveillance governance redesign that internalizes legality and proportionality as operational constraints, mandates independent authorization for high-intrusion measures, guarantees contestability of algorithmic outputs, and supplies meaningful remedies including evidentiary consequences where surveillance violates constitutional or statutory conditions.