Everlaw vs Datadog
Side-by-side comparison of AI visibility scores, market position, and capabilities
Cloud e-discovery and litigation platform with $202M raised serving 2,000+ law firms; AI predictive coding and document review competing with Relativity and Disco for legal teams.
About
Everlaw is a cloud-based legal technology platform for e-discovery and litigation management, providing document review, analysis, and collaboration tools for law firms, corporate legal departments, and government agencies handling large-scale litigation and investigations. Founded in 2012 in Oakland, California and having raised approximately $202 million, Everlaw serves over 2,000 law firm and legal department clients, including dozens of AmLaw 100 firms, with a platform designed to make e-discovery faster, more accurate, and more collaborative.
Cloud observability leader with $2.68B ARR; 750+ integrations; expanding into AI/LLM monitoring as enterprises instrument generative AI workloads at scale in 2025.
About
Datadog is a cloud-native monitoring and security platform founded in 2010 by Olivier Pomel and Alexis Lê-Quôc, headquartered in New York City. The company went public on Nasdaq (DDOG) in September 2019 and has grown to serve over 29,000 customers as of FY2024, generating $2.68 billion in annual recurring revenue, representing approximately 26% year-over-year growth. Datadog's platform spans infrastructure monitoring, application performance management (APM), log management, security monitoring, and AI observability, positioning it as the unified observability stack for cloud-scale engineering teams.
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