Report
Leveraging open-source models for legal language modeling and analysis: a case study on the Indian constitution
| العنوان: | Leveraging open-source models for legal language modeling and analysis: a case study on the Indian constitution |
|---|---|
| المؤلفون: | Gupta, Vikhyath, P, Srinivasa Rao |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computers and Society |
| الوصف: | In recent years, the use of open-source models has gained immense popularity in various fields, including legal language modelling and analysis. These models have proven to be highly effective in tasks such as summarizing legal documents, extracting key information, and even predicting case outcomes. This has revolutionized the legal industry, enabling lawyers, researchers, and policymakers to quickly access and analyse vast amounts of legal text, saving time and resources. This paper presents a novel approach to legal language modeling (LLM) and analysis using open-source models from Hugging Face. We leverage Hugging Face embeddings via LangChain and Sentence Transformers to develop an LLM tailored for legal texts. We then demonstrate the application of this model by extracting insights from the official Constitution of India. Our methodology involves preprocessing the data, splitting it into chunks, using ChromaDB and LangChainVectorStores, and employing the Google/Flan-T5-XXL model for analysis. The trained model is tested on the Indian Constitution, which is available in PDF format. Our findings suggest that our approach holds promise for efficient legal language processing and analysis. Comment: 10 Pages , 3 figures |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2404.06751 |
| رقم الانضمام: | edsarx.2404.06751 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |