AI-Driven Legal Research Engine for Commercial Courts

Authors

  • Dr. Renuka Kajale Assistant Professor, Computer Engineering, NMIET, Talegaon Dabhade, Maharashtra, India Author
  • Prof. Neha Bhagawat Assistant Professor, Computer Engineering, NMIET, Talegaon Dabhade, Maharashtra, India Author
  • Sushant Kadam UG - Computer Engineering, NMIET, Talegaon Dabhade, Maharashtra, India Author
  • Tanishka Kadam UG - Computer Engineering, NMIET, Talegaon Dabhade, Maharashtra, India Author
  • Preeti Pingale UG - Computer Engineering, NMIET, Talegaon Dabhade, Maharashtra, India Author

DOI:

https://doi.org/10.47392/IRJAEH.2026.0475

Keywords:

Retrieval-Augmented Generation (RAG), Legal AI, Indian Commercial Law, Semantic Search, FAISS, DeepSeek, Groq, Failover Architecture, Explainable AI, Legal Research Automation, Commercial courts

Abstract

The AI-Driven Legal Research Engine is designed to improve the efficiency and accuracy of legal research in commercial courts by handling large volumes of legal data such as judgments and statutes. It enables deeper understanding of legal texts beyond simple keyword searches, providing more relevant and context-aware results. The system offers concise summaries of lengthy legal documents and allows users to ask complex legal questions through an interactive interface. By automating analysis and information retrieval, it reduces manual effort and saves time. It also improves consistency and accessibility of legal information. Overall, it provides a scalable and intelligent solution for modern legal research.

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Published

2026-05-13

How to Cite

AI-Driven Legal Research Engine for Commercial Courts. (2026). International Research Journal on Advanced Engineering Hub (IRJAEH), 4(05), 3639-3643. https://doi.org/10.47392/IRJAEH.2026.0475