Product Overview: iManage RAVN
iManage RAVN is a cutting-edge Artificial Intelligence (AI) platform integrated into the iManage suite of products, designed to revolutionize how law firms, corporations, and other organizations manage, analyze, and utilize their data.
What iManage RAVN Does
iManage RAVN is a comprehensive AI engine that enhances the capabilities of iManage’s document and email management system. It is built to automatically organize, discover, and summarize documents and unstructured data, significantly improving the efficiency and accuracy of information retrieval and management. Here are the key aspects of what iManage RAVN does:
- Indexing and Search: iManage RAVN replaces traditional indexing systems with a more powerful and efficient indexer. It is 25-35% faster, scales better, and uses fewer CPU cycles while providing redundant and reliable performance.
- AI-Powered Applications: RAVN powers several standalone applications, including iManage Insight, iManage Extract, and iManage Classify. These tools leverage AI technology to read, interpret, and extract key information from unstructured data, auto-classify documents, and identify compliance requirements.
Key Features and Functionality
iManage Insight
- Enhanced Search Capabilities: Insight uses machine learning and Natural Language Processing (NLP) to understand search queries better and provide relevant results. It dynamically finds phrases and concepts, showing examples and alternatives, which aids in drafting pleadings, opinions, and research.
- Knowledge Graph: Visually illustrates connections between people, areas of interest, and data objects, enhancing knowledge management.
iManage Extract
- Automated Data Extraction: Extracts key information from unstructured data, such as dates, obligations, and amounts, and presents it in meaningful ways. It can be taught to look for specific patterns and data, making it highly customizable.
iManage Classify
- Document Classification: Intelligently understands the nature of documents, identifying, analyzing, categorizing, and tagging data to turn it into valuable business assets. This is crucial for information governance initiatives.
General Capabilities
- Universal Search: Enables searches across a wide variety of systems, including iManage Work, Microsoft Exchange, Microsoft SharePoint, third-party websites, instant messages, and social media.
- Risk Management & Compliance: Ensures employees use current information and comply with regulatory standards by pushing relevant content to individuals. This helps mitigate business risks.
- Automatic Promotion of Relevant Content: Learns from previous searches and user interests to automatically suggest relevant content, promoting frequently accessed or scored content.
Technical and Deployment Features
- Scalability and Redundancy: Designed to be clustered, RAVN can be scaled horizontally and vertically, with the ability to build redundancy across different sites. This ensures high availability and minimal downtime.
- Maintenance and Integration: Easily maintained using PowerShell scripts, with seamless integration into the iManage ecosystem, including compatibility with Security Policy Manager and Threat Analyzer.
- Deployment Options: Available as both hosted and on-premise solutions, offering flexibility based on data sovereignty, client requirements, or organizational policies.
Benefits
iManage RAVN significantly enhances the productivity and efficiency of law firms and corporations by:
- Reducing the time and effort required to analyze large volumes of data.
- Improving the accuracy of information extraction and classification.
- Enhancing compliance and risk management through automated document classification and content analysis.
- Providing a unified search capability across multiple data sources.
- Offering advanced security features to protect data from various threats.
Overall, iManage RAVN is a powerful tool that leverages AI to make data management more efficient, accurate, and valuable, allowing professionals to work smarter and more productively.