International Journal of Scientific Research and Engineering Development

The Legal-AI Project presents an intelligent platform for automated legal document analysis, leveraging Natural Language Processing (NLP) and Machine Learning (ML) models to assist in the review, classification, and comprehension of legal texts. The system integrates clause extraction, question answering, and paraphrasing modules using transformer-based models such as RoBERTa and T5. It simplifies complex contractual language and provides sentiment-based risk assessment. The architecture includes a Flask backend, a Next.js frontend, and containerized deployment through Docker. The platform enhances efficiency, reduces human error, and democratizes access to legal understanding. This paper outlines the methodology, implementation, and performance outcomes of the Legal-AI platform.