Qura provides an intelligent AI-platform that unifies access to extensive legal databases, including national case law, legislation, EU regulations, and scholarly literature. Its purpose-built search engine allows legal professionals to quickly find relevant details and explore ontological connections across over 1000 data sources. The platform leverages AI trained specifically for legal methodology to deliver faster research and deeper insights into complex legal questions.
Funding
Funding not disclosed
Founders
Product
Problem
Legal professionals face significant challenges in efficiently navigating vast and scattered legal databases to find relevant laws, cases, and regulations. Traditional legal research methods are time-consuming, often requiring weeks to comb through millions of documents. This inefficiency can lead to delays in legal proceedings and increased costs for legal teams.
Solution
Qura offers an AI-powered legal search engine that enables legal professionals to conduct natural language queries across a comprehensive database of legal sources. By leveraging large language models (LLMs), Qura analyzes every document, page, and paragraph in seconds, identifying relevant extracts and sources. This technology allows users to quickly access authentic information without generating content, ensuring reliability and avoiding the pitfalls of AI-generated hallucinations. Qura's platform streamlines the legal research process, significantly reducing the time and effort required to find critical information.
Target Audience
Qura primarily targets legal teams, lawyers, and legal professionals who need to efficiently research and navigate extensive legal databases.
Features
- Natural language query processing for intuitive legal research
- Access to over 100 legal databases, including national and EU sources
- AI-driven analysis of legal documents to identify relevant paragraphs and sources
- Zero-content generation policy to ensure reliability and accuracy
- Results presented as excerpts from original sources with links to the full documents
- Integration of LLMs to structure and search legal databases efficiently
- EU legal data coverage, addressing a previously challenging area for research