Contextual AI vs Harvey

Contextual AI — Application · Private · $100M raised · 2 of 2 figures sourced  |  Harvey — Application · Private · $11B valuation · 4 of 4 figures sourced

Relationship

Contextual AI Platform and Harvey Vault do comparable work on document extraction; similar scale (private); ships AI agent and application rather than the same layer.

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

3 of 5 capabilitiesDifferent layer

3 of 5 capabilities — Shares agent orchestration, document extraction and knowledge retrieval.

Ludbee capability tags · from the product records

Different layer — Harvey ships AI agent and application, not the same layer.

Ludbee product records

Aligned comparison

FieldContextual AIHarvey
Size$100M raised$11B valuation different basis
Employees—725
Founded20232022 1 yrs earlier
StatusPrivatePrivate match
CategoryApplicationApplication match
Stack layerAPI service, Agent platform, PlatformAI agent, Application
HeadquartersSan Francisco, USASan Francisco, USA match

Capability overlap

Shared · 3

Agent orchestrationDocument extractionKnowledge retrieval

Not verified for Harvey · 2

Vector searchWorkflow automation

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

Not verified for Contextual AI · 3

Evaluation and observabilityLegal drafting and reviewSearch answers

Recorded for Harvey. Contextual AI’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

Contextual AI

No shared stack layer with the other side.

Harvey

No shared stack layer with the other side.

No counterpart

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

API service

Contextual AI RAG Component APIsAPI service

Parsing, reranking and grounded-generation endpoints sold individually for teams building their own retrieval stack.

Agent platform

Agent ComposerAgent platform

Orchestration layer inside the Contextual AI Platform providing an enterprise-scale agent runtime, no-code agent/workflow builder and AI toolkit for multi-step reasoning and multi-tool orchestration over enterprise data.

Platform

Contextual AI PlatformPlatform

Builds and serves retrieval-augmented agents over an organisation's own documents.

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

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.

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.