Browsing by Author "Muhammad Abdullah Shaheen"

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    Lexibot
    (UMT.Lahore, 2025) Muhammad Abdullah Shaheen; Fasi Ur Rehman; Abdullah
    The exponential growth of legal documentation has made finding the way through complex legal texts a time-consuming challenge. LexiBot, a Legal Document Summarization and Analysis Chatbot, is the solution for the above by using AI and NLP to automate the extraction of important information from legal documents. In the project, the major aspects are summarization of long court decisions, contracts, and legislative texts, the key clauses, precedents, and legal terms identification, and the user's provision with brief, query-specific insights. Along with the creation of a structured dataset from court judgments, the use of NLP techniques, and the fine-tuning of the advanced models like BERT and GPT for the purpose of summarization, analysis are the parts of the development process. Users are interacting with LexiBot through the chatbot interface, as a result, they are able to upload the documents and get the summaries and analyses they need. LexiBot aims to improve the accessibility, reduce manual effort, and streamline legal research, which makes it become the necessary tool for legal professionals and the ones who want to understand the legal material. Created with Python and the latest AI frameworks, this is a project that instigates the beginning of the process of legal document processing revolution.