Elastic vs Harvey

Elastic — Infrastructure · Public · $10.2B mkt cap · 4 of 4 figures sourced  |  Harvey — Application · Private · $11B valuation · 4 of 4 figures sourced

Relationship

Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.

Aligned comparison

FieldElasticHarvey
Size$10.2B mkt cap$11B valuation different basis
Employees4,019725 Harvey has 5.5× fewer
Founded20122022 10 yrs later
StatusPublicPrivate
CategoryInfrastructureApplication
Stack layerAgent platform, Application, Model API, PlatformAI agent, Application
HeadquartersAmsterdam, NetherlandsSan Francisco, USA

Capability overlap

Shared · 3

Agent orchestrationEvaluation and observabilityKnowledge retrieval

Not verified for Harvey · 6

Data analysisModel hostingModel inferenceThreat detection and responseVector searchWorkflow automation

Recorded for Elastic. Harvey’s product records say nothing either way — a missing record is not a missing capability.

Not verified for Elastic · 3

Document extractionLegal drafting and reviewSearch answers

Recorded for Harvey. Elastic’s product records say nothing either way — a missing record is not a missing capability.

Products, side by side

Algorithmic pairing — assembled from recorded fields, not hand-checked

Elastic

Application

Elastic AI SOC EngineApplication

An AI security-operations layer that correlates alerts from a customer's existing security tools, prioritizes threats and guides response workflows without replacing their SIEM.

Elastic AIOpsApplication

GenAI- and ML-driven capability inside Elastic Observability that automatically detects, diagnoses and helps resolve operational issues, providing recommended actions for SREs.

Elastic LLM ObservabilityApplication

Monitoring capability inside Elastic Observability for generative-AI and agentic applications: performance, cost control, guardrail tracking and reliability for GenAI workloads.

Elastic SecurityApplication

Agentic security-operations platform unifying SIEM, XDR and native automation, with autonomous agents handling detection-to-response workflows and purpose-built AI skills for threat hunting, alert analysis and detection engineering; supports multiple LLMs including on-premises models.

Harvey

Application

HarveyApplication

Legal work platform that drafts, reviews and researches documents for law firms and in-house teams.

Harvey Command CenterApplication

Analyzes legal-AI adoption across a firm and recommends improvements.

Harvey Contract IntelligenceApplication

Reviews contracts and extracts portfolio-level insights.

Harvey KnowledgeApplication

Legal, regulatory and tax research across licensed sources, answering questions with citations back to the underlying authority.

Harvey MemoryApplication

Cross-product personalization layer that stores and applies a lawyer's preferred writing conventions, analytical approach and formatting across Harvey's tools (Web App, Outlook, Word Add-In, playbook runs).

Harvey SpacesApplication

Governed AI workspaces for collaborating on legal work.

Harvey VaultApplication

Repository for a firm's legal documents that runs queries and extractions across a whole matter at once rather than file by file.

No counterpart

Elastic sells these in a stack layer with no product recorded for Harvey yet — nothing on the other side to compare them against.

Agent platform

Elastic Agent BuilderAgent platform

A builder for custom AI agents that answer questions and take actions over data indexed in Elasticsearch, using configurable tools, skills and prompts.

Elastic WorkflowsAgent platform

An automation engine that runs both scripted steps and AI agents which reason through investigations and execute response actions against data in Elasticsearch.

Platform

Elastic AI AssistantPlatform

A conversational assistant embedded in Kibana that answers natural-language questions against a customer's own indexed data across Elastic's Observability, Security and Search solutions.

Model API

Elastic Inference ServiceModel API

Hosted inference endpoint that runs Elastic-managed LLMs, the ELSER sparse-embedding model and third-party embedding models for ingest, search and chat without provisioning ML nodes in a customer's own Elasticsearch deployment.

Harvey sells these in a stack layer with no product recorded for Elastic yet — nothing on the other side to compare them against.

AI agent

Harvey AgentsAI agent

Delegates end-to-end legal research and work-product creation to AI agents, executing multiple tasks in parallel with cited, review-ready outputs.