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@article{178986,
        author = {E BHAVANI and SIRI H G and S SANJANA and MOULYA H M and Dr. Swati Sharma},
        title = {An AI-Powered Legal Documentation Assistant: Leveraging Machine Learning and Natural Language Processing for Intelligent Legal Text Generation and Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {5347-5354},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178986},
        abstract = {Legal documents often involve complex, time- consuming, and error-prone processes. This research employs artificial intelligence (AI) to streamline the process of drafting, checking, and maintaining legal documents. The system can generate contracts, review legal clauses, detect inconsistencies, and ensure compliance with legal standards using Natural Language Processing (NLP) and Machine Learning (ML). It can also enhance document accuracy, automate mundane tasks, and provide useful recommendations. Through a boost in efficiency, reduction of human labor, and reduction in legal risks, this AI- driven solution aims to enhance the dependability and access to legal documentation for individuals as well as businesses.},
        keywords = {Natural Language Processing (NLP), Legal Document Automation, Machine Learning, Text Summarization, Named Entity Recognition (NER), Document Classification, Information Extraction, Chatbot Integration, Legal Knowledge Base.},
        month = {May},
        }