Highlights • Proposed an AI-powered legal assistant tailored specifically for Indian law to simplify access to legal information for common users. • Developed a Retrieval-Augmented Generation (RAG) based system integrating vector search (Pinecone) with large language models for accurate legal query resolution. • Implemented document analysis capability to extract and summarize key insights from legal documents. • Enabled multimodal interaction through text and voice using speech recognition and text-to-speech technologies. Abstract The increasing complexity of the Indian legal system often makes it difficult for common individuals to access accurate and timely legal information. To address this challenge, this paper presents an AI-based legal assistant designed to improve legal awareness and simplify access to legal information for users in India.The system leverages Large Language Models (LLMs) combined with Retrieval-Augmented Generation (RAG) to deliver context-aware and reliable responses to user queries. The proposed system integrates a vector database (Pinecone) to store and retrieve relevant legal information efficiently, ensuring that responses are not only accurate but also grounded in contextual data. The backend is developed using Flask, while the frontend utilizes React and Tailwind CSS to create a responsive and user-friendly interface. The system also supports document analysis, allowing users to upload legal documents and receive concise summaries and insights. To enhance accessibility, the system incorporates voice-based interaction through speech recognition and text-to-speech technologies, along with multi-language support to cater to diverse users. The proposed system demonstrates improved relevance and usability compared to traditional keyword-based legal search methods. Overall, the system aims to reduce the gap between complex legal knowledge and everyday users by providing an accessible and intelligent support platform. Keywords: AI Legal Assistant, Legal Awareness, Indian Law, NLP, Retrieval-Augmented Generation, Legal Chatbot