KLDiscovery Nebula

What KLDiscovery Nebula is

KLDiscovery Nebula is an AI-powered eDiscovery platform for early case assessment and workflows from data ingestion through review and production. It helps evaluate case merit, custodians, communication patterns, and risk factors before a full-scale review. Its analysis includes machine learning, natural language processing, generative AI, entity recognition, sentiment analysis, and document categorization. Review features include interactive timelines, keyword navigation, predictive coding, email threading, near-duplicate detection, a native file viewer, and automated redaction. Nebula processes uploaded data, including deduplication, indexing, and metadata normalization. Supported sources include messaging applications, email, Microsoft Exchange, SharePoint, PST and loose files, forensic images, and legacy archives. Selected data can be promoted to RelativityOne for larger-scale review and collaboration. Productions can include native files, images, text files, metadata, or ZIP packages, with audit trails and reporting. Deployment options include web and self-hosted; the maker describes Nebula Enterprise as a rack-mountable appliance that stores data locally. Pricing is on request, with an annual subscription based on data capacity, paid monthly; multi-year discounts are available.