Legal Ease: AI-Powered FIR Assistant for Police Officers
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
FAISS
MiniLM
Legal Document Retrieval
Open-Source AI
LegalTech
Lightweight NLP Systems