eDiscovery, forensics and data recovery software and services
KLDiscovery pairs forensic and review tooling (EnCase, Cellebrite, Nuix, Relativity) with its own Nebula platform built on C#, .NET, Angular and SQL Server, now adopting ASP.NET Core and Blazor. Projects center on a generative AI architecture for Nebula and an evaluation framework for AI defensibility, while hiring is accelerating with a legal- and engineering-heavy mix across the US, India and Japan.
Notable leadership hires: Product Director
KLDiscovery delivers technology-enabled services and software that help law firms, corporations, government agencies and consumers manage complex data problems. Its offerings span forensic collection and investigation, early case assessment, eDiscovery processing, hosted document review and managed review services. Through its Ontrack business it also provides data recovery, email extraction, data destruction and tape management. The publicly traded company is headquartered in Eden Prairie, Minnesota, employs 1,001–5,000 people and operates offices across many countries.
KLDiscovery uses Relativity, Nuix, EnCase and Cellebrite alongside its Nebula platform, built with C#, .NET, Angular, SQL Server and PostgreSQL. It runs Salesforce, HubSpot, Vertex AI and CrowdStrike Falcon, and is adopting ASP.NET Core and Blazor.
Current initiatives include an AI roadmap and generative AI architecture for Nebula, an AI defensibility evaluation framework, billing workflow platform modernization and scaling a global customer success function.
KLDiscovery is headquartered in Eden Prairie, Minnesota, United States, and is currently hiring in the United States, India and Japan.
Other companies in the same industry, closest in size
KLDiscovery's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.