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@article{179222,
        author = {Aarchi Singh and KhushI Ganatra and Aditya Shreyaskar},
        title = {Legal Solutions - GenAI},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {5737-5741},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179222},
        abstract = {This paper presents LegalRAG Assistant, an AI-powered legal chatbot platform that leverages Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) to provide accurate, context-aware responses to legal queries. The system integrates Indian legal frameworks including the Bharatiya Nyaya Sanhita (BNS) and RERA guidelines to support real-time legal consultation and document analysis. A structured pipeline was developed using vector embeddings (via Sentence-BERT) and FAISS for efficient semantic retrieval of legal texts. These are then fed into a fine-tuned LLM (Mistral-7B-Instruct) for answer generation. The platform demonstrates over 90% retrieval precision on a curated legal dataset and supports multilingual, user-friendly interaction through a Gradio-based chatbot interface. Experimental outcomes emphasize LegalRAG Assistant’s readiness for deployment in legal advisory applications, especially in domains requiring rapid access to complex legal information with high accuracy and explainability.},
        keywords = {LegalTech · Real Estate Law · Property Law ·Generative AI ·Legal Chatbot ·RERA Compliance ·Stamp Duty ·Legal Document Simplification ·Personalized Legal Assistance ·Multilingual Support · Access To Justice · RAG},
        month = {May},
        }