The advent of emerging technologies has ushered in a digital revolution that is profoundly transforming the landscape of criminal procedure in India. This paper provides a comprehensive exploration of the multifaceted impact of these technologies on the Indian criminal justice system. As India grapples with evolving crime patterns and the need for expeditious justice delivery, emerging technologies have emerged as a powerful ally, revolutionizing key facets of criminal procedure. This in-depth examination delves into the significant role of artificial intelligence, blockchain technology, and facial recognition in redefining evidence management, case investigations, and surveillance practices. It highlights the pivotal role of these technologies in enhancing the efficiency, accuracy, and transparency of criminal procedures while addressing the myriad ethical and legal considerations that accompany their integration. Drawing from real-world examples and case studies, this paper offers insights into how Indian law enforcement agencies and the judiciary are leveraging technology to predict and prevent crimes, manage evidence, and ensure adherence to due process. The research also underscores the ethical and legal challenges posed by these technologies, from privacy concerns to potential biases, emphasizing the need for comprehensive regulatory frameworks.
Furthermore, the paper outlines strategies to resolve these ethical and legal considerations, encompassing comprehensive regulatory frameworks, ethical guidelines, and public engagement. It advocates for a holistic approach that balances the advantages of technology with the ethical and legal imperatives of the Indian criminal justice system. In an era where the digital transformation of criminal procedure is inevitable, this examination serves as a vital resource for legal practitioners, policymakers, and technologists seeking to navigate the evolving landscape, ensuring that technology becomes a catalyst for justice, fairness, and efficiency within the Indian legal framework.