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@article{203512,
        author = {Ms. Visha Yadav and Ms. Purva Patil and Ms. Bhakti Shingadi and Dr. Tanya D'souza},
        title = {Know Your Rights: A Retrieval-Augmented Legal Awareness Application},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {12319-12323},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=203512},
        abstract = {This review synthesizes research on artificial intelligence systems for legal literacy in India with a focus on retrieval augmented generation and related mobile oriented architectures published in 2024 and 2025. It examines ten works that propose statute aware question answering assistants and legal information retrieval pipelines cantered on the Indian Constitution the Indian Penal Code the Bharatiya Nyaya Sanhita and selected regulatory domains. The literature demonstrates steady progress in dense retrieval methods comparative model evaluations and early quantitative signals such as section identification accuracy and retrieval precision. At the same time, it finds consistent gaps in end-to-end mobile implementation authoritative corpus curation at section level strict grounding and citation practices broader feature coverage beyond question answering and security and privacy engineering suitable for deployment. No surveyed paper reports comprehensive functional usability performance or security evaluations against established non-AI legal portals or legal aid applications. The review concludes that future work should focus on secure, privacy-focused, and reliable mobile legal literacy applications for India using retrieval-augmented generation (RAG), transparent citations, offline support, and trustworthy user experience.},
        keywords = {Legal literacy, India, Retrieval augmented generation, Mobile app, Access to justice},
        month = {May},
        }