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@article{178969,
        author = {S. Mary Rosline and C. Naveen and Azaria J Wesley and K. Athiganesan and K. Karuppasamy},
        title = {A Tailored AI Framework for Retrieval and Interpretation of legal case Documents: Enhancing information Access Using Hybrid Retrieval Techniques},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {6318-6323},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178969},
        abstract = {Invocation and interpretation information from unstructured legal documents such as case files and judgments remain a complex task due to different formats and domain-specific languages. This article proposes a TaylorMade KI framework specifically developed for the legal realm. The system combines discussion of vector-based call methods and knowledge graph control, improved by multi-document analysis and metadata extraction. This hybrid approach ensures accurate context-related results and maintains traceability and reliability of the source. With quick and commentary responses in several legal documents, this frame is suitable for supporting legal investigations, fall comparisons, and judicial reviews.},
        keywords = {document processing, unstructured data analysis, large-scale language models (LLM), vector decoration, knowledge graphics, semantic search, hybrid calls, metadata extraction.},
        month = {May},
        }