Abstract: Legal Sphere is a web-based AI-powered legal assistant designed to simplify access to India’s complex legal system through intelligent automation and multilingual support. Built using Next.js, Type Script, and Tailwind CSS for a responsive interface, and powered by Google Genkit, Firebase, and Large Language Models (LLMs) such as GPT and Gemini, the system delivers real- time, context-aware legal assistance. It allows users to input queries in natural language—English or regional Indian languages—and receive concise, legally relevant responses derived from Indian laws, judgments, and constitutional texts. The architecture integrates secure authentication, fast server-side rendering (SSR), and scalable deployment to ensure performance and reliability. Experimental results demonstrate efficient response times, robust authentication, and improved accessibility to legal information. LegalSphere thus represents a major step towards democratizing legal knowledge, propagating legal literacy, and bridging the justice accessibility gap using artificial intelligence.
Keywords: Legal Technology, Natural Language Processing, AI Legal Assistant, Large Language Models, Next.js, Google Genkit, Multilingual Chatbot, Legal Awareness, Access to Justice.
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DOI:
10.17148/IJARCCE.2025.141272
[1] Mr. Kumar K, Nawaz khan, Lekhna L, Mohammed Tahir, Misba Saba, "Enhancing Legal Accessibility Through Multilingual AI Systems," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.141272
