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@article{205171,
        author = {sanika tikole and Aditya Jare and Rajendra Margale and Faizal Mistry},
        title = {JURI AI: AI System for Legal Assistance and Lawyer Appointment Management},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {1},
        pages = {6540-6547},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=205171},
        abstract = {However, the issue of inaccessible legal aid services still remains one of the major obstacles in India, as the cost of consultation, complicated legal procedures, and lack of professional advice make things challenging. The current research paper introduces a new technology solution known as JURI AI – an AI-based LegalTech tool combining the functionalities of Retrieval-Augmented Generation (RAG), contract analysis, legal risk evaluation, and scheduling lawyer appointments into one ecosystem. In particular, the application utilizes semantic search powered by Pinecone Vector Database, contract clause classification with machine learning algorithms, legal validation rules for contracts according to Indian regulations, and a large language model for answering legal questions. The experimental assessment of contract classification produced 89.42% of accuracy rate, whereas rule-based validation was able to detect risks and missing clauses of the contract.},
        keywords = {LegalTech, Retrieval-Augmented Generation, Legal-BERT, NLP, Contract Analysis, Artificial Intelligence, Indian Law},
        month = {June},
        }