Juro: A RAG AI Chatbot for Enhancing Legal Information Access in Resource-Constrained Settings скачать в хорошем качестве

Juro: A RAG AI Chatbot for Enhancing Legal Information Access in Resource-Constrained Settings

In proceedings of the 2024 Pan-African Artificial Intelligence and Smart Systems.(PAAISS 2024). Paper: https://link.springer.com/chapter/10.... Code : https://github.com/bernard-ng/drc-jur... Access to legal information remains a significant challenge in resource-constrained settings where the digitization of legal systems is still in its early stages. To address this issue, we developed Juro, an AI-based chatbot architecture utilizing a Retrieval-Augmented Generation (RAG) framework. Leveraging a curated dataset of over 8,400 legal documents, Juro provides a user-friendly platform that simplifies complex legal language and ensures information reliability through a robust source citation mechanism. This paper demonstrates the applicability of adaptable AI-driven solutions in low-resource environments, offering a flexible chatbot architecture that can be tailored to various contexts where information accessibility remains a critical challenge. The legal system in the Democratic Republic of Congo (DRC) serves as a use case, illustrating the potential of Juro in addressing similar challenges across developing countries. How to cite ? @InProceedings{10.1007/978-3-031-94439-0_15, author="Ngandu, Bernard and Mbale, Landry and Bagula, Antoine", editor="N. Ngatched, Telex M. and Woungang, Isaac and Tapamo, Jules-Raymond and Viriri, Serestina", title="Juro: A Retrieval-Augmented Generation AI Chatbot for Enhancing Legal Information Access in Resource-Constrained Settings", booktitle="Pan-African Artificial Intelligence and Smart Systems", year="2025", publisher="Springer Nature Switzerland", address="Cham", pages="260--274", isbn="978-3-031-94439-0" }