Nepali Legal Expertise through Generative and Extractive Pre-trained Transformers (NepLEGiT)
The complexity of legal language and limited accessibility to legal information pose significant challenges to justice delivery in Nepal. Traditional legal services remain inaccessible to many citizens due to language barriers, information fragmentation, and a critical shortage of legal expertise, particularly in rural areas. We present NepLEGiT (Nepali Legal Expertise through Generative and Extractive Pre-trained Transformers), a specialized small language model (SLM) designed to democratize legal knowledge and enhance legal-service delivery in Nepal. We pre-train a decoder-based GPT-2 SLM from scratch on a curated corpus of ~4 million tokens of Nepali legal text, covering constitutional...
| Authors | Ranjit Raut, Tishya Dhakal, Aaryan Shakya et al. |
|---|---|
| Primary category | cs.CL |
| Published | 8 August 2026 |
| Last updated at source | 8 August 2026 |
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