Courthouses in the Netherlands are grappling with substantial challenges stemming from escalating workloads and high burnout rates among court clerks. This strain not only compromises the well-being of essential judicial personnel but also hinders the overall efficiency and timeliness of the justice system. In response to this pressing issue, this research has delved into the potential application of Large Language Models (LLMs), a form of artificial intelligence like ChatGPT, as a means to alleviate these burdens. In order to investigate the potential of LLMs in the juridical field, the following main question has been drafted:
“How effective is an LLM in lowering the workload of the Dutch court clerks?”
The research employs a mixed research approach. The literature and desk review examines the tasks of the clerks, information about the available LLMs and prompt engineering technique. In addition to this, semi-structured interviews have been held to explore the different tasks of the clerks. Since the scope of this research is only big enough for one task, The task selection process utilized the elimination by aspects technique. After this, a targeted experiment has been conducted to analyse and evaluate the possible LLMs and select the most suitable model for this research. The effectiveness of the LLM-based prompt support have been evaluated using a mixed-methods approach, combining quantitative and qualitative data analysis, which are a within-subject experiment, semi-structured interviews, DeepEval Evaluation, expert evaluation, and a statistical analysis.
The results and the conclusion of this research are still under embargo.