Legal tech and eDiscovery platform with forensics, data recovery, and managed services
KLDiscovery operates a multi-service legal-tech business spanning eDiscovery, information governance, data recovery, and managed document review across 1,000+ employees in 26 locations. The hiring velocity is accelerating with legal and engineering roles leading (14 and 6 open roles respectively), while active projects signal infrastructure modernization (Oracle HCM migration, SD-WAN strategy, zero-downtime ops) and AI-driven product enhancement — a shift toward automation in document review and compliance workflows.
Notable leadership hires: Sales Director
KLDiscovery delivers technology-enabled services and software to law firms, corporations, government agencies, and consumers managing litigation, regulatory compliance, internal investigations, and data recovery. Core offerings include forensic data collection and investigation, early case assessment, electronic discovery and data processing, web-based document review platforms (powered by Relativity and proprietary software), and managed review services. The Ontrack division handles data recovery, email extraction, data destruction, and tape management. The company serves clients across eDiscovery, information governance, and compliance verticals, with operations spanning 17 countries.
KLDiscovery's stack includes Relativity (document review platform), EnCase and Cellebrite (forensic analysis), NUIX (data processing), and Nebula for data hosting. Backend infrastructure uses Oracle, Azure, AWS, and Salesforce for CRM and billing automation.
KLDiscovery is headquartered in Eden Prairie, Minnesota, and operates 26 locations across 17 countries with 1,001–5,000 employees.
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.