JUIT is developing a legal research platform that employs algorithms for efficient case law analysis and legal document retrieval in Brazil. This technology significantly reduces the time legal professionals spend on research, improving their efficiency and accuracy in case preparation.
Funding
$200K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Legal professionals in Brazil spend considerable time on legal research and case law analysis, impacting their efficiency and accuracy in case preparation. The process of retrieving relevant legal documents and precedents can be time-consuming and challenging.
Solution
JUIT Rimor is a legal research platform that leverages jurimetrics and AI to streamline case law analysis and legal document retrieval, enabling legal professionals to make data-driven decisions. The platform offers advanced search capabilities across all areas of law, incorporating multiple filters to refine results and identify relevant precedents quickly. JUIT Rimor's AI algorithms identify crucial information within legal documents, such as subjects, legal bases, and merit analysis, to optimize research time. The platform also provides jurimetric analysis to understand decision-making patterns and create more assertive legal arguments.
Target Audience
JUIT Rimor primarily targets law firms and legal departments seeking to improve research efficiency, reduce costs, and gain deeper insights into legal matters.
Features
- Advanced search functionality with up to 14 combinable filters for precise results
- AI-powered identification of subjects, legal bases, and merit analysis within legal documents
- Jurimetrics for understanding decision-making patterns and creating data-driven legal strategies
- Daily updates of legal information and jurisprudence
- Access to full legal texts and summaries
- Intuitive dashboards with graphics to analyze jurimetrics
- Algorithms with a 98.8% accuracy rate in classifying decisions