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@article{206625,
        author = {Alan Joseph and Alan Jose and Abhijith R Nair and Albin Jose and Aswathy R},
        title = {DEFEND U: AI POWERED LEGAL ADVISOR FOR THE INDIAN LEGAL CONTEXT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {2},
        pages = {2967-2973},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206625},
        abstract = {Defend U is an AI-powered legal intelligence platform developed to bridge the critical gap between legal complexity and citizen access in India. Unlike conventional legal information retrieval systems, Defend U not only provides real-time search and retrieval of relevant Indian case laws and statutes but also delivers AI-driven summarization, semantic analysis, and structured insights from judicial documents. The system integrates a FastAPI backend, FAISS-based semantic search, Sentence-BERT for query encoding, lexical keyword search with section boosting, and Reciprocal Rank Fusion for hybrid retrieval, followed by Cross-Encoder re-ranking using the ms-marco model to maximize retrieval precision. A Neo4j knowledge graph maps relationships between legal acts, sections, and precedents. For pro-se users, the platform generates actionable legal roadmaps, identifies applicable IPC sections, and provides multilingual support for over 10 Indian languages through optimized batch translation. Built on an asynchronous high-performance architecture using the Llama 3.3 70B model via Groq Cloud, Defend U offers a reliable, scalable, and comprehensive solution that combines automated legal document analysis, knowledge graph navigation, and seamless connectivity for citizens navigating the Indian legal system.},
        keywords = {Artificial Intelligence, Cross-Encoder Re-ranking, FAISS, FastAPI, Indian Legal System, Knowledge Graph, Large Language Models, Legal Judgment Summarization, Natural Language Processing, Neo4j, Pro-Se Assistance, Reciprocal Rank Fusion, Retrieval-Augmented Generation, Semantic Search, Sentence-BERT.},
        month = {July},
        }