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Research Paper Volume 9 Issue 1 572 - 580 February 8, 2026

Tracing Crypto, Proving Guilt: Evidentiary Thresholds for Blockchain Forensics in Court Proceedings

Lead author · Corresponding
Mayuri Ramchandra Taware
Research Scholar at Chhatrapati Shivaji Maharaj University, Navi Mumbai, Maharashtra, India
Co-author
Dr. Piyush
Assistant Professor at Chhatrapati Shivaji Maharaj University, Navi Mumbai, Maharashtra, India
Abstract

The process of examining and evaluating transactions on a blockchain in order to monitor the flow of money and identify illicit activity is known as blockchain forensics. Blockchain forensics can alternatively be called blockchain intelligence or blockchain analytics. As virtual asset markets have grown, so too have blockchain-enabled crimes such as ransomware payments, exchange and bridge hacks, investment frauds, darknet transactions, and sophisticated money laundering. Thus the paper examines the role played by the blockchain forensics to bridge the gap between pseudonymous on-chain activity and real-world identification, especially by identifying "choke points" where criminals interact with identifiable infrastructure or regulated intermediaries like exchanges, custodians, and payment processors. It also delves into techniques which constitute blockchain forensics, and how do they support investigation and asset recovery and the governance practices which make blockchain forensic outputs legally robust. Then the paper also examines whether blockchain records are valuable as evidence and the evidentiary framework for proving blockchain trails across disputes.

Type
Research Paper
Information
International Journal of Law Management and Humanities, Volume 9, Issue 1, Page 572 - 580
Creative Commons
CC BY-NC 4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting, and building upon the work for non-commercial use, provided the original work is properly cited.
Copyright
Copyright © IJLMH 2026
Disclaimer
The views and opinions expressed in this manuscript are those of the author(s) alone and do not reflect the views, policies, or position of the Journal.

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