Box vs Harvey
Relationship
Box AI and Harvey Vault do comparable work on document extraction; larger scale (private).
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
3 of 6 capabilities — Shares agent orchestration, document extraction and knowledge retrieval.
Ludbee capability tags · from the product recordsShared product type — Both ship AI agent and application.
Ludbee product recordsLarger scale — Harvey: $11B valuation, against Box's $4.8B market cap.
Ludbee scale figures · valuation, market cap or revenue estimateAligned comparison
Capability overlap
Shared · 3
Not verified for Harvey · 3
Recorded for Box. Harvey’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Box · 3
Recorded for Harvey. Box’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
Box
Application
No-code agentic workflow-automation platform that orchestrates intelligent content workflows -- contract approvals, claims processing, document routing -- combining AI agents, data extraction and document processing end to end.
Agentic data extraction service that pulls structured fields from documents, spreadsheets, images and video in Box using OCR and reasoning models, and writes the results back as Box metadata or returns them via API.
AI agent
Agents built on the Box platform that combine frontier models from OpenAI, Anthropic and Google with an organization's own content, automating multi-step tasks such as threat analysis and contract review while respecting Box's enterprise permissions.
Harvey
Application
Legal work platform that drafts, reviews and researches documents for law firms and in-house teams.
Analyzes legal-AI adoption across a firm and recommends improvements.
Legal, regulatory and tax research across licensed sources, answering questions with citations back to the underlying authority.
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).
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
Delegates end-to-end legal research and work-product creation to AI agents, executing multiple tasks in parallel with cited, review-ready outputs.
No counterpart
Box sells these in a stack layer with no product recorded for Harvey yet — nothing on the other side to compare them against.
Agent platform
No-code environment where Box administrators create, configure, test and deploy custom AI agents scoped to selected documents and models, and control which users can access each agent.
Developer tool
Model Context Protocol server that lets external AI agents search, read and extract metadata from content in Box while enforcing the calling user's existing Box permissions, available as a Box-hosted remote server and as a self-hosted Python project.
Platform
Generative AI layer across Box's content platform that answers questions over stored documents, summarizes files and folders, and extracts structured data from contracts and forms; agentic, multi-step work is Box AI Agents, recorded separately.