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Project Case Study

Lawgic – Legal AI Assistant

An AI-powered legal assistant designed to simplify legal document analysis, research, summarization, and multilingual accessibility. Lawgic enables users to upload legal PDFs and DOCX files, perform context-aware question answering, generate customized summaries, and translate legal content into regional languages. Built on a Retrieval-Augmented Generation (RAG) architecture, the platform combines semantic document search with Google's Gemini models to deliver accurate, context-aware legal insights while maintaining an intuitive chat-based experience.

Tech Stack

PythonStreamlitGoogle Gemini 2.5 FlashLangChainFAISSGoogle Generative AI EmbeddingsPyMuPDFpython-docxRAGSemantic SearchVector DatabaseRecursiveCharacterTextSplitterpython-dotenvRenderStreamlit Cloud

Project Focus

An AI-powered legal assistant designed to simplify legal document analysis, research, summarization, and multilingual accessibility. Lawgic enables users to upload legal PDFs and D...

Technology Profile

This build brings together Python, Streamlit, Google Gemini 2.5 Flash, LangChain, FAISS, Google Generative AI Embeddings, and additional supporting tools.