In the digital world, the logistics sector is moving away from traditional operational structures and towards technology-oriented solutions. One of the most striking elements of this transformation is digital twin technologies that create virtual copies of physical assets. The increasing complexity and multi-actor structure in logistics processes cause traditional evidence collection methods to be insufficient in resolving disputes. At this point, the legal evidence value of digital twin technologies has started to be questioned, and the relationship between technical modelling and legal reality has become an important topic of discussion.
Digital twin technology is the creation of a virtual model by simulating an object that exists in concrete life. With this virtual modelling, the processes in the physical environment are monitored virtually by using real-time data sent from the sensors in the object. By transferring the full-time data in the physical environment to the digital environment, a digital twin is created in a sense.
This technology is used in critical areas such as warehouse management, transport routes, vehicle fleet monitoring and supply chain optimisation in the logistics sector. Data collected from digital twin technology sensors, IoT devices and artificial intelligence algorithms are used to create an exact copy of physical operations in the digital environment.
Through digital twin systems, modern logistics businesses are able to monitor their operational processes in real time, identify potential problems in advance and optimise performance. These systems record a wide range of data from the location of each cargo package to vehicle performance, warehouse capacity and environmental conditions. This ensures transparency and traceability in every link of the logistics chain.
Evidential Significance of Digital Twin Data
The data generated by digital twin systems have the potential to be an important source of evidence in the resolution of logistics disputes. These data record the conditions at the time of the event and before the event in detail, are stored with a time stamp and gain reliability through cross-validation of multi-sensor data. Thanks to its real-time monitoring capacity, the chronological development of the events subject to the dispute can be monitored objectively.
Among the most powerful aspects of the use of digital twin data as evidence are its immutability, reproducibility and comprehensive documentation features. In systems integrated with blockchain technology, data integrity is cryptographically protected, making interference attempts detectable. In addition, analysis processes supported by machine learning algorithms minimise subjective evaluations due to human error.
Legal Admissibility Criteria
In order for digital twin data to be accepted as evidence before the court, certain legal criteria must be met. The relevance criterion requires that the data presented is directly related to the dispute. Reliability refers to the compliance of data collection, processing and storage processes with technical standards. Authentication involves proving by which system, when and how the data was generated.
These data should be evaluated within the scope of digital evidence. In addition, the technical nature of the data in question, which requires expert examination, shows that expert opinions are critical in the approach of the courts to the issue. In particular, algorithm transparency and understandable presentation of data processing methodologies constitute a prerequisite for legal acceptance.
Legal Challenges
In order for digital data to be accepted as legal evidence, it is necessary to ensure the authenticity, accuracy and integrity of this data, as well as to present it in a way that convinces the court. However, the lack of coordination between the judiciary, law enforcement agencies, digital evidence experts and forensic informatics experts makes it difficult to use digital evidence effectively.
In addition, the lack of a comprehensive and up-to-date cybercrime legislation causes significant problems in practice. Inadequacies in the implementation and enforcement of laws and in ensuring the rule of law in practice have a negative impact on the reliability of judicial processes. Particularly in the search and seizure of digital data, the process is further complicated by the lack of prior court orders, lack of due process, unclear official procedures and lack of stakeholder involvement in the process.
Technical Challenges
One of the most important technical problems encountered in the use of digital twin systems as legal evidence is data corruption caused by sensor errors. Environmental conditions, electromagnetic interference or hardware failures can affect the accuracy of the data produced by the system. This situation creates a reliability problem, especially in legal processes where critical decisions will be made.
Such factors as network systems, laptops, etc. may not be synchronised with security updates. This situation causes technical difficulties. Although these difficulties are frequently encountered, security updates are not synchronised due to network systems and users using their personal devices. These devices may sometimes already be compromised or vulnerable to current threats. The lack of technical expertise and the insufficiency of trained and certified cyber researchers in this field also make the current situation more difficult.
Furthermore, the use of outdated analysis tools and the lack of a systematic update frequency are among the factors that make intervention difficult. In addition, the lack of reporting or information sharing platforms to raise awareness about the nature of cyber threats, the importance of vulnerabilities and potential impacts severely limits the defence capacity of institutions.
Use of Digital Twin Technology as Evidence in Global
The use of digital twin technologies as evidence has started to gain importance in different sectors and legal systems worldwide. According to some studies, it is emphasised that live digital twin systems help to determine the cause of failures and can become evidence to be used in court to resolve disputes. This development shows that digital twin data can play a critical role not only in operational but also in legal processes.
Technology-oriented countries have started to give importance to strengthening the legal infrastructure of digital twin systems. Same time, the evidentiary nature of digital twin data in the aviation and logistics sector has started to be the subject of discussions. It is frequently emphasised that it is a technology that can play a decisive role in intellectual property rights, data security and liability attributions, and that it should be carefully evaluated.
Conclusion
The cases where digital twin data are used as evidence in the logistics sector reveal the concrete potential of the technology. The legal use of digital twin technologies provides convenience in determining damage liability thanks to vibration, impact, temperature data recorded by digital twin sensors. In addition, it creates objective criteria with time-sensitive clear data in the distribution of responsibility. Such examples prove the practical value of technology in legal processes.
The use of digital twin technologies as evidence in logistics disputes establishes a link between technical modelling and legal reality. The legal evidentiary nature of these technologies is not technical modelling or pure legal reality. It is aimed to build a fair system in accordance with the digital transformation of the logistics sector by adopting a hybrid approach with the evidentiary nature of this system, which requires both technology and law to be integrated.
Trainee Lawyer Meryem Torkay
