The US fraud trial of Terraform Labs co-founder and former CEO Do Kwon is scheduled to begin in January 2026. The decision was announced during the first trial in Manhattan, and prosecutors and defense attorneys are preparing to review a vast collection of six terabytes of evidence.
Reasons for Postponing the Case
According to the latest report from the Southern District Court of Manhattan, the main reason for the delay in Do Kwon’s trial is that prosecutors and the defense need to thoroughly review the huge pile of data involved in the evidentiary process.
Prosecutors cited difficulties in unlocking four mobile phones provided by Montenegrin authorities during Kwon’s Criminal Extradition process and the need to translate data from these devices from Korean to English.
Data Access and Interpretation Issues
Accessing and interpreting data obtained from encrypted cell phones has created unique obstacles that have made it difficult for the case to proceed. These devices are thought to contain important evidence regarding the accusations against Do Kwon. The long duration of the case will ensure that both parties work extensively on the evidence. This process is of critical importance in ensuring justice.
The court takes all necessary measures to ensure that the litigation process proceeds fairly and meticulously. This situation may also shed light on the future course of similar cases. The postponement of Do Kwon’s trial to 2026 once again revealed the complexity of legal processes and the difficulties of evidence analysis.
Postponing the hearing for Do Kwon to such a later date may cause speculative movements to continue for LUNA.
As a result, the postponement of Do Kwon’s trial to 2026 can be considered as an indicator of the meticulous execution of the legal process. Correct analysis of the evidence obtained in this process is of critical importance to ensure justice.
Disclaimer: The information contained in this article does not constitute investment advice. Investors should be aware that cryptocurrencies carry high volatility and therefore risk, and should carry out their transactions in line with their own research.
