We present a novel AI-powered legal document assistant that transforms how users interact with and understand legal documents. By leveraging Large Language Models (LLMs) and advanced document processing techniques, our system provides real-time analysis, context-aware responses, and intuitive document navigation for legal professionals and individuals alike.
Legal documents are often complex and difficult to understand for the average person. Our solution addresses this challenge by providing an intelligent interface that not only analyzes documents but also engages in meaningful dialogue about their content. This paper presents the development, implementation, and evaluation of our Legal Document AI Assistant.
Our system employs a modern, responsive interface built with React and TypeScript, featuring:
The backend infrastructure utilizes:
We implement a sophisticated document processing pipeline that includes:
Our chat interface provides:
Security measures include:
# Example code snippet showing document processing def process_document(content: bytes) -> List[str]: text = extract_text(content) chunks = create_chunks(text) embeddings = generate_embeddings(chunks) return store_vectors(embeddings)
# Example code showing query handling async def process_query(question: str, context: str) -> str: relevant_chunks = retrieve_relevant_context(question) response = generate_response(question, relevant_chunks) return format_response(response)
The system provides an intuitive upload interface with:
Our chat interface features:
Initial user testing has shown:
Planned enhancements include:
Our Legal Document AI Assistant demonstrates significant potential in making legal documents more accessible and understandable. The system's ability to process, analyze, and engage in meaningful dialogue about legal documents represents a significant step forward in legal technology.
There are no datasets linked
There are no models linked
There are no models linked
There are no datasets linked
