12. Mitigating disparities in legal literacy: A Rag-based system for navigating the Vietnamese legal framework
DOI:
https://doi.org/10.61591/jslhu.26.1019Từ khóa:
Large Language Models; Retrieval-augmented Generation; Artificial intelligence; Policymakers; Legal context.Tóm tắt
Limited legal access for marginalized populations in Vietnam creates significant disparities in justice. This paper investigates the potential of Large Language Models (LLMs) as a cost-effective solution to provide preliminary legal guidance and document preparation for underserved communities. We examine the feasibility of deploying a retrieval-augmented Generation (RAG) Generative Pre-training Transformer (GPT) framework, analyzing the requisite technological infrastructure, legal frameworks, and challenges such as Artificial intelligence (AI) accuracy and the interpretation of local legal nuances. Drawing from international case studies, this research offers recommendations for policymakers to integrate AI responsibly, ensuring fairness, privacy, and accessibility in legal service delivery.
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