The research demonstrates an application of a no-code AI model in the field of international MTPL insurance claims. The model uses natural language processing (NLP) to analyze a custom-made case law database, create summaries, and provide translations into the Croatian language when needed. The AI model was developed using a Generative pre-trained transformer (GPT) and the effectiveness of the model was evaluated through two studies in which the participants were given a hypothetical cross-border insurance claim. The pilot study revealed, and the follow-up study confirmed, that the GPT significantly improves research efficiency and helps overcome language barriers in international MTPL claims handling.

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Application of a No-Code AI Model for Legal Research in International Insurance Claims

  • Ana Martinović,
  • Boris Martinović

摘要

The research demonstrates an application of a no-code AI model in the field of international MTPL insurance claims. The model uses natural language processing (NLP) to analyze a custom-made case law database, create summaries, and provide translations into the Croatian language when needed. The AI model was developed using a Generative pre-trained transformer (GPT) and the effectiveness of the model was evaluated through two studies in which the participants were given a hypothetical cross-border insurance claim. The pilot study revealed, and the follow-up study confirmed, that the GPT significantly improves research efficiency and helps overcome language barriers in international MTPL claims handling.