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@article{185346,
        author = {Abhishek Urkude and Mohini Thakre and Atharva There and Shreyash Ghollar and Ayush Hedau and Atharva Joshi},
        title = {NyayaSetu- Automated Legal Document Analyzer},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {3024-3030},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185346},
        abstract = {Legal papers are frequently challenging to understand because of their length and complicated language. In difficult circumstances such as marital conflicts and domestic abuse, when people might not have access to adequate legal assistance, this becomes a greater problem. Additionally, lawyers must personally review these documents for an extended period adding to their workload and may result in errors. We created an Automated Legal Document Analyzer and Contract Checker to reduce these issues. The system uses natural language processing, machine learning, and artificial intelligence to categorize documents, identify key information, and generate concise summaries. Additionally, it can detect emotional or abusive content by analyzing the sentiment of text. The implementation uses a document-oriented database, a React-based frontend, and a Python backend for a secure storage. Overall, the system aims to save time, improve accuracy, and provide both legal experts and victims easier access to information.},
        keywords = {Artificial Intelligence, Machine Learning, Natural Language Processing, Legal Document Analysis, Contract Checking, Sentiment Analysis, Multi-lingual support.},
        month = {October},
        }