Enhanced Research on Legal Data Extraction and Document Analysis Tool

Certainly, in the practice of law, the issue of case law and legal document mining and understanding is at the forefront among the priorities of both practicing lawyers and students. For this reason, this research proposes an approach to developing a solution that employs the most current web scraping and natural language processing principles to address this problem. By using Selenium, BeautifulSoup, and Requests data from famous legal websites such as Indian Kanoon and Advocate Khoji are collected and saved on the hard disk in CSV format systematically. Subsequently, the users can choose specific datasets and ask questions concerning the content. To assist the user in understanding upcoming events and to provide semantically meaningful and contextually correct answers, the system connects API calls with two professional language models, which are Gemini and Lama 7B-Instruct. The entire workflow is being implemented by the Streamlit module in Python That’s how the user interface is realized. The purpose of this tool is to cut down the time and work that it takes to work on legal research to the barest minimum by increasing the efficiency of the tool and improving the experience of the lawyers and law students.