Ladenburg Research Networks

The judicial system involves the creation, interpretation, and application of legally relevant texts. Some protagonists are already using large language models (LLMs) such as ChatGPT for this purpose. To date, however, these efforts have been largely uncoordinated. The funding project is setting out to help systematize the use of learning software.

As part of the Ladenburg Research Network “Technological Intelligence for the Transformation, Automation, and User-Orientation of the Judicial System (TITAN),” researchers are focusing on the broad range of topics relating to the use of LLMs. Experts from various specialist disciplines are investigating whether artificial intelligence can efficiently carry out functions in the judicial system in order to strengthen fundamental rights, democracy, and the rule of law.

After all, artificial intelligence is opening up unimagined opportunities: Routine tasks could be automated, complex problems easily solved, and individual requirements anticipated. At the same time, however, this entails many risks, and users often have reservations and fears. On the other hand, acceptance on the part of members of the judiciary, lawyers, and persons involved in the administration of justice is an absolute prerequisite for the efficient use of artificial intelligence.

In TITAN, researchers from the areas of legal informatics, business administration, industrial and organizational psychology, public, civil and criminal law, and legal theory intend to define specific fields in the judicial system in which software technologies can support and relieve people in a targeted manner. In this process, the legal framework for the various application scenarios must be defined and ensured.

The researchers are also addressing key psychological issues, such as the trustworthiness of the individual protagonists, along with the way in which they carry out processes of work and change and perceive their own responsibility. According to current estimates, agile forms of organization with rapid decision-making processes, a high level of personal responsibility, and tolerance of error will likewise contribute to the future acceptance of digital transformation processes. The researchers from TITAN also intend to glean perspectives from external protagonists and to take an international perspective.