NepKANUN Released: RAG-Based AI Legal Assistant Aims to Democratize Legal Knowledge in Nepal

Summary:NepKANUN is an AI-powered legal assistant tailored for Nepali legal texts, built on a Retrieval-Augmented Generation (RAG) framework. It addresses the challenges of accessing legal information in Nepal, such as complex terminology, limited resources, and misinformation. Trained using a custom dataset of high-quality question-answer pairs, NepKANUN achieves strong F1 scores of 0.82 (simple), 0.77 (moderate), and 0.71 (complex) according to BERTScore. Expert reviews confirm its usability. This tec

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NepKANUN: RAG-Based Nepali Legal AI Assistant

Key Breakthroughs

NepKANUN is an AI assistant specifically designed for Nepali legal texts, built on a Retrieval-Augmented Generation (RAG) framework. Its main features include:

• Fine-tuned Large Language Model: Trained using high-quality question-answer pairs, enabling it to handle complex legal terminology and provide precise answers.
• Strong Performance: Achieves F1 scores of 0.82 (simple), 0.77 (moderate), and 0.71 (complex) according to BERTScore.
• Expert Validation: Expert reviews confirm its usability, indicating its potential for practical applications.

Technical Highlights

• RAG Framework Application: By leveraging the RAG framework, NepKANUN combines the strengths of generation and retrieval to deliver more accurate legal information.
• Customized Dataset: Uses a specially designed high-quality question-answer dataset for Nepali legal texts, ensuring the model's adaptability and accuracy.
• Multi-Level Problem Handling: Capable of handling various legal issues ranging from simple to complex, catering to different user needs.

Industry Impact

The release of NepKANUN opens new possibilities for AI applications in the Nepali legal sector. Its successful application in democratizing legal knowledge not only enhances the accessibility of legal information but also promotes the fairness and efficiency of legal services. Additionally, this technology provides a model for other developing countries, promoting the widespread application of AI in the legal field.

Developer Recommendations

• Importance of Data Quality: High-quality question-answer datasets are crucial for model success; developers should focus on data collection and cleaning.
• Flexibility of RAG Framework: The RAG framework's flexibility makes it suitable for various domains; developers can explore its application in other specific AI applications.
• Continuous Optimization and Evaluation: Regularly evaluate and optimize the model to ensure its performance and usability.

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Source: ArXiv NLP/LLM (cs.CL) (2026-09-16)

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Tags: #NepKANUN #RAG #Legal AI #Nepal #Retrieval-Augmented Generation