The evidentiary value of blockchain in civil litigation: comparative insights and future directions

Overview

This comparative legal analysis examines the evidentiary value of blockchain technology in civil litigation across multiple jurisdictions. The study evaluates how blockchain's technical characteristics—particularly its capacity for creating immutable records—interact with established legal frameworks for evidence admissibility. The research encompasses five major legal systems: China's internet courts integrating blockchain directly, the United States' approach through existing electronic evidence protocols, the European Union's technology-neutral regulatory framework via eIDAS, and the distinct national practices of France, Germany, the United Kingdom, and Türkiye. The central thesis establishes that technical security features alone are insufficient to establish legal certainty in civil proceedings, necessitating alignment between technical capabilities and normative legal requirements.

Methods and approach

The research employs comparative legal methodology to analyse how different jurisdictional systems regulate and apply blockchain evidence. The analysis examines both the technical functional properties of blockchain systems and their treatment under respective evidentiary rules. The study identifies and categorises the scenarios in which blockchain records demonstrate probative utility, distinguishing between on-chain transactions, external transaction detection via blockchain, and direct recording of real-world events. The investigation addresses cross-jurisdictional challenges including evidentiary standards, attribution requirements, and the application of hearsay doctrines. The comparative framework enables identification of recurring obstacles and successful implementations across diverse legal traditions.

Key Findings

The analysis identifies three primary scenarios demonstrating blockchain evidence effectiveness: transactions executed directly on blockchain networks where the technology creates native records; blockchain deployment as detection instruments for transactions occurring outside the network; and systems recording real-world events directly into blockchain infrastructures. However, blockchain evidence encounters significant limitations, particularly regarding proof of physical-world events, as blockchain systems guarantee data integrity exclusively within digital environments and cannot authenticate external occurrences independently. Across all examined jurisdictions, persistent challenges emerge: absence of harmonised evidentiary standards for blockchain records, difficulties establishing attribution and chain of custody, application of the garbage-in-garbage-out principle affecting data reliability, and dependence on expert testimony for technological evaluation. The United States applies hearsay rules restrictively, China demonstrates more receptive integration within internet court structures, and the European Union employs technology-neutral frameworks creating flexibility but lacking specificity.

Implications

The findings establish that effective integration of blockchain into evidence law requires regulatory frameworks explicitly addressing both technical reliability and procedural legitimacy. Current approaches across jurisdictions remain fragmented, creating uncertainty for litigants in cross-border disputes and limiting blockchain's probative utility in complex international litigation. The absence of standardised verification mechanisms and harmonised admissibility criteria diminishes blockchain's potential capacity to enhance evidentiary efficiency and reliability in civil proceedings. Jurisdictions must develop explicit normative frameworks delineating conditions under which blockchain records satisfy evidentiary requirements, establishing consistent standards for technical verification and expert qualification.

Scope and limitations

This summary is based on the study abstract and available metadata. It does not include a full analysis of the complete paper, supplementary materials, or underlying datasets unless explicitly stated. Findings should be interpreted in the context of the original publication.