In India, the complexity of legal language and the vast volume of documentation involved in research and case analysis have rendered legal information largely inaccessible. To address this challenge, NyayaAI has been introduced as an AI-powered legal assistant designed to automate and simplify legal workflows for lawyers, law students, and general users.
The NyayaAI system integrates Large Language Models (LLMs) with a Retrieval-Augmented Generation (RAG) pipeline. This pipeline is grounded in a curated Indian legal knowledge base, which includes constitutional provisions, statutes, case laws, and judicial precedents, ensuring contextual relevance and accuracy. For sophisticated task execution, NyayaAI employs a multi-agent architecture, orchestrated through the Mastra TypeScript framework. This setup involves a main agent coordinating with specialized sub-agents.
These specialized sub-agents handle distinct functions such as legal research, document summarization, case law retrieval, and drafting assistance. Crucially, a compliance module is incorporated to validate all responses prior to delivery, ensuring the generated legal content is accurate and compliant. Performance evaluations on test samples showed NyayaAI achieving 70% precision in domain classification, 74% precision in RAG retrieval, and an overall response accuracy of 72%. These metrics demonstrate the significant potential of structured multi-agent LLM systems to enhance legal accessibility and workflow efficiency.
For the benefit of the research community, the code for NyayaAI has been made publicly available.
