[Submitted on 15 Jul 2026]
Title:NepKANUN: A RAG-Based Nepali Legal Assistant
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Abstract:Accessing legal information in Nepal is difficult due to complex terminology, limited resources, and misinformation. We introduce an AI-powered legal assistant that is tailored for Nepali legal texts and is built on a fine-tuned large language model. The technology provides precise, streamlined answers to natural language legal inquiries when integrated into a Retrieval-Augmented Generation (RAG) framework. It was trained using a custom dataset of high-quality question-answer pairs, and according to BERTScore, it obtained strong F1 scores of 0.82 (simple), 0.77 (moderate), and 0.71 (complex). Its usability is further confirmed by expert reviews. Our method shows how merging generation and retrieval can effectively democratize access to legal knowledge in Nepal by focusing on customized legal data and incorporating RAG.
Comments: 6 pages, 1 figure
Subjects:
Computation and Language (cs.CL)
Cite as: arXiv:2609.15999 [cs.CL]
(or arXiv:2609.15999v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2609.15999
arXiv-issued DOI via DataCite
Submission history
From: Ranjit Raut [view email] [v1] Wed, 15 Jul 2026 01:37:47 UTC (120 KB)
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