Legal Ally: A Multimodal AI System for Indian Law Navigation
DOI:
https://doi.org/10.63503/j.ijaimd.2025.162Keywords:
Legal AI, Retrieval-Augmented Generation (RAG), Document Analysis, WebRTC, Indian Jurisprudence, Natural Language Processing, FAISS, Legal AccessibilityAbstract
The paper aimed at solving the problem of affordable, accessible and contextually accurate legal assistance in India, Legal Ally is a domain-specific AI platform that supports lawyers among others. With the intricacy of Indian jurisprudence, minimal legal literacy, and high price of professional services, there has been an increasing need to have a system that would ensure the democratization of legal knowledge as well as facilitate the process of handling documents by non-professionals, small firms, and even law professionals. In the present paper, the author suggests Legal Ally as the multimodal system that incorporates the Retrieval-Augmented Generation (RAG)-based Legal Chatbot, a Document Analysis tool, a Legal Document Generator, and a LawyerClient Video-Call module. The suggested approach uses Google Generative AI generate embeddings, FAISS vectors-in-memory storage, React, Streamlit, Flask, and WebRTC to permit real-time resolution of legal questions, simplifying the distribution of difficult legal records, developing autonomous standardized contracts, and in-depth virtual consultations. The innovativeness of the work is that all these different functionalities are holistically integrated into a single, scalable and user-friendly platform built in the Indian legal frameworks- filling in the gaps that exist in terms of accessibility, localization and ease of use. Experimental analysis shows that legal query answers are accurate (94.8 percent), contract generation fast (6.2 seconds to generate 8-page documents), and legally-compliant and user-accepted. The ethically based solution is a great impetus to democratizing legal aid in developing economies.
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