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@article{186562,
        author = {Sivachandiran K and Sathish kumar D and Sanjeevkumar A and SamyDurai A},
        title = {Lexi AI - Powered Legal Query Assistance and Prediction Portal},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {1568-1576},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186562},
        abstract = {one of the biggest problems that legal aid faces is that millions of people do not have access to it, due to low awareness, high costs of consultation, and barriers caused by location. A web-based system based on AI to provide legal support at any time, personalized guidance, and lawyer referrals verified in a secure and convenient way for the user is proposed by the Lexi AI the Intelligent Legal Assistant Portal. The system features a Natural Language Processing (NLP)-based chatbot powered by large language models (LLMs) such as Google Gemini and OpenAI GPT. The chatbot is used to determine whether the user’s query is of a simple, moderate, or complex legal nature. In the case of complicated situations, the portal allows the users to interact with legal professionals who are verified while in the case of straightforward issues, the user get the automated, context-aware responses. Moreover, it has been designed to introduce an easy-to-use complaint registration system, the legal outcome prediction feature, and data visualization modules to be at the users’ disposal for providing them with the latest legal trends and to increase their awareness and legal literacy. The platform that comprises the React.js frontend, Flask/Django backend, and MonodoDB/ PostgreSQL database is aimed at the users of the word as it seeks to offer them high security, the possibility of scaling up.},
        keywords = {Artificial Intelligence, Legal Assistance, LawTech Chatbot, Legal Query Classification, Lawyer Referral, Case Prediction, Justice Accessibility, NLP, Legal Awareness.},
        month = {November},
        }