Journal of Multi Disciplinary Engineering Technologies
Volume 19 • Issue 01 • Published: Dec 2025 • ISSN (Print): 0974-1771 • ISSN (Online): 2581-9372

Legal Ease: AI-Powered FIR Assistant for Police Officers

Anmol Pokhriyal1, Rakhi Joon1*, Gargi Mishra1, Nupur Chugh1

1 Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, New Delhi, 110063, India.
*Corresponding author(s): rakhi.cse@bharatividyapeeth.edu
Contributing authors: anmolpokhriyal26@gmail.com; gargi.mishra@bharatividyapeeth.edu; nupur.chugh@bharatividyapeeth.edu

Abstract

Artificial intelligence experienced considerable progress regarding natural language comprehension and question answering during recent years. This paper presents Legal Ease, a simple AI assistant. It is built to assist users in navigating legal documents. It also helps with interpretation and insight extraction, all with impressive accuracy plus speed. Refinement of transformer-based models happened through legal datasets. Integration with FAISS vector search, along with adaptive chunking, also occurred. The system supports deep contextual analysis and smart search across unstructured legal texts because of this. Legal Ease provides a practical, user-friendly as well as budget-conscious method. It connects conventional legal research to present AI tools.

Keywords

Legal AI Assistant
FAISS
MiniLM
Legal Document Retrieval
Open-Source AI
LegalTech
Lightweight NLP Systems

Article information

Journal: Journal of Multi Disciplinary Engineering Technologies
Volume / Issue: 19 / 01
Published: Dec 2025
ISSN (Print): 0974-1771
ISSN (Online): 2581-9372