Abstract: The integration of Artificial Intelligence (AI) in legal advisory services is transforming access to legal information and decision-making. This research paper presents an AI-driven Legal Assistance Chatbot designed to provide accessible, efficient, and accurate legal guidance based on Indian legal frameworks. By leveraging Natural Language Processing (NLP), Machine Learning (ML), and Term Frequency-Inverse Document Frequency (TF-IDF) algorithms, the chatbot can interpret complex legal queries, retrieve relevant legal precedents, and generate user-friendly legal advice. The system enhances legal research efficiency, reduces manual workload, and ensures ethical AI deployment through data privacy compliance. This study explores the technological, ethical, and regulatory considerations of AI-powered legal assistance, highlighting its potential to democratize legal knowledge and bridge the gap between legal professionals and the public.

Keywords: AI Legal Chatbot, Natural Language Processing, Legal Information Retrieval, Machine Learning, TF-IDF, Ethical AI.

| DOI: 10.17148/IARJSET.2025.12321