Reduce Before You Review
Lower total matter cost by promoting only relevant, defensible data into high-cost review environments.
Make smarter decisions earlier. Nebula combines advanced AI, early insight, controlled workflows, and defensible outcomes across the eDiscovery lifecycle.
Nebula is KLDiscovery’s AI-powered eDiscovery platform built to help teams understand their data earlier and control cost across the matter lifecycle. It supports workflows from ingestion and early case assessment through review and production within a structured, defensible environment.
When matters require enterprise-scale review, Nebula pairs with RelativityOne to promote targeted data into advanced case management and collaboration workflows, enabling global teams to scale confidently without overcommitting cost too early.
Legal teams are under increasing pressure to move faster, control cost, and demonstrate defensibility. Data volumes continue to grow while expectations around AI and automation rise.
Many organizations either overcommit to expensive review environments too early or adopt automation that lacks transparency. The result is unnecessary spend, inconsistent workflows, and added risk.
Nebula addresses this by helping teams understand their data earlier, reduce intelligently, and scale only when complexity demands it.
ECAi uses generative AI to analyze data sets and produce structured case summaries that highlight themes, custodians, communication activity, and potential risks. It automatically generates customizable categories, helping teams quickly frame case strategy while maintaining user control and transparency.
Keyword Navigation allows users to move through documents by keyword directly within the review interface. Supporting both text and HTML formats, it improves speed, context, and precision during document analysis.
Integrated machine learning models support prioritization, clustering, and continuous active learning strategies. These tools accelerate review while preserving defensibility and analytical transparency.
Automatically group related communications and identify similar documents to reduce review volume. These features streamline analysis and prevent redundant review across large data sets.
Select and promote only relevant, defensible data into RelativityOne when matters require enterprise-scale review. Maintain continuity without overcommitting to full-scale review too early.
Nebula works at the decision level. Where many platforms focus only on review workflows, Nebula enables early insight, intelligent reduction, and controlled promotion into enterprise review environments.
Lower total matter cost by promoting only relevant, defensible data into high-cost review environments.
Run matters fully in Nebula or pair with RelativityOne depending on complexity and risk.
Every Nebula deployment is supported by KLDiscovery professionals who can step in at any point.
Accelerate insight without sacrificing defensibility or control.