OpenText Legal Knowledge Management

What OpenText Legal Knowledge Management is

OpenText Legal Knowledge Management searches structured and unstructured information across an organization to help legal teams locate content and expertise. The product page describes searching billions of records across more than 400 file types. Search options include predictive search, concept group search, classification, data visualization, and single sign-on. Integrated OpenText MindServer uses concept analysis and supervised machine learning to find related material even when a query lacks exact matching terms. A rules-based categorizer can scan incoming documents, classify them, and add metadata. Searchable sources include DMS, finance and billing systems, matter management, attorney profiles, HR, litigation dockets, file shares, intranets, portals, and email. Use cases include finding subject matter experts, developing case strategy, classifying data, and assembling teams for business bids. Its security model respects source systems’ native security and includes layered controls, permit and deny settings, and ethical walls. Deployment options include cloud, on-premise, and off-cloud. It runs on web or self-hosted platforms; pricing is available on request.