Admissibility and Evidentiary Value of AI-Generated Evidence in Civil Proceedings
Kiran Chandrakant Wagaj & Dr. Joyti Dharma
DOI:
Abstract
The growing integration of Artificial Intelligence (AI) into legal and adjudicatory processes has introduced a new category of evidentiary material in civil litigation—AI-generated evidence. Such evidence may include predictive analytics, automated reports, digital reconstructions, and pattern-recognition outputs generated through algorithmic processing of data. This paper examines the admissibility and evidentiary value of AI-generated evidence in civil proceedings, with special reference to the Indian legal framework.
The study adopts a doctrinal methodology to analyse statutory provisions, judicial decisions, and scholarly literature concerning electronic and digital evidence. It evaluates whether existing provisions of the Indian Evidence Act, 1872—particularly Sections 65A and 65B relating to electronic records—are sufficient to govern AI-generated outputs. The paper argues that although AI-generated evidence may be accommodated within the existing framework as a form of electronic record, such treatment remains conceptually inadequate because AI outputs are not merely stored data but algorithmically inferred conclusions.
The paper identifies key concerns relating to authenticity, source verification, reliability, algorithmic bias, transparency, and the “black box” nature of AI systems. It further highlights the role of expert evidence in establishing the credibility of AI-generated outputs and the difficulties courts may face in assigning probative value to such material. Comparative references to the approaches in the United States and the United Kingdom demonstrate the need for reliability-based standards and judicial guidance in India.
The paper concludes that while AI has the potential to enhance efficiency in civil adjudication, its evidentiary use must be regulated through legislative reform, AI-specific evidentiary standards, judicial training, and ethical safeguards. A balanced framework is essential to ensure that technological innovation supports, rather than undermines, fairness, transparency, and due process in civil justice.