Fileread
byFileread
Fileread is an AI-powered document intelligence platform designed to streamline litigation workflows by automating document review, fact-finding, and case preparation. The platform enables legal teams to process large volumes of documents efficiently, uncover insights across text, images, and unstructured data, and build comprehensive case narratives with direct citations to source materials. Fileread integrates seamlessly with Relativity, enhancing its capabilities and providing a unified solution for legal professionals. The platform is engineered for scalability, ensuring that litigation teams can handle extensive document productions without compromising accuracy or security. Fileread's Matter Intelligence feature offers context-aware AI interactions, allowing attorneys to generate tailored questions and insights based on foundational case documents, thereby improving the efficiency and effectiveness of legal research and analysis. Additionally, Fileread's Axis Agentic Extraction engine automates the identification and extraction of specific data points from large document sets, reducing manual review time and enabling legal teams to focus on strategic analysis and decision-making. The platform is available as a native integration within the Relativity eDiscovery platform and as a standalone solution, providing flexibility to meet the diverse needs of law firms, corporate legal departments, and alternative legal service providers. Fileread's commitment to security is evident through its enterprise-grade encryption and compliance with industry standards, ensuring that sensitive legal data is protected throughout the document review process.
Features
- AI-powered document review and analysis
- Seamless integration with Relativity eDiscovery platform
- Matter Intelligence for context-aware AI interactions
- Axis Agentic Extraction for automated data point identification
- Scalable architecture for handling large document volumes
- Enterprise-grade security with compliance to industry standards
Product Details
- Pricing
- Subscription
- Deployment
- Cloud
- Location
- 🇺🇸 New York, United States
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