Harvey and Hebbia both get pitched to the same transactional team: a partner staring at 800 credit agreements who needs change-of-control, MFN, and assignment language extracted before Friday. The usual framing is that Harvey is the legal workflow suite and Hebbia is the grid. That framing was true in 2024. It is no longer the thing that decides the purchase.
Harvey’s Vault now ships review tables of up to 10,000 files with typed columns — free response, verbatim, classification — and conditional logic between them. That is a Matrix. The grid stopped being Hebbia’s moat about a year ago, and any vendor deck that still routes on “Harvey chats, Hebbia extracts” is selling you a 2024 map.
What actually decides it is what sits behind the columns, and which department signs the invoice.
Where Harvey wins
Primary law inside the grid. The June 2025 LexisNexis alliance put Shepard’s Citations and Lexis primary law into Harvey’s Knowledge surface, and Harvey added 120+ legal research sources through spring 2026. A Harvey review-table column can ask a question that resolves against case law and get a citation you can Shepardize. Hebbia’s columns resolve against the documents you loaded and the financial data providers it connects to. There is no legal-research corpus underneath.
The redline and the memo are in the same product. Assistant edits Word files directly, Contract Intelligence handles negotiation posture, and Agent Builder batch-edits form agreements across a document set with one prompt. Hebbia analyzes and reports; it does not produce your markup. Buying Hebbia means budgeting a second seat for Spellbook or DraftWise on the drafting side.
Matter-shaped governance. Client-matter-level Vault retention, ethical walls, matter-scoped access, and Shared Spaces for working with outside counsel across org boundaries. These exist because law firm security committees and outside-counsel guidelines demand them by name. Hebbia clears ISO/IEC 42001 and SOC 2 Type II, which is a strong institutional posture — it is not the same as retention configured per matter number.
Deployed-base weight. $300M ARR by mid-2026, 142,000+ lawyers across 1,500+ customers in 60+ countries, half the AmLaw 100, and an $11B valuation set in March 2026. When peer adoption is the argument you have to win in front of a management committee, that is the strongest sheet in the category.
Where Hebbia wins
Columns that reach outside the deal room. Hebbia connects to S&P Capital IQ, FactSet, PitchBook, Preqin, and Third Bridge alongside SharePoint, Box, Snowflake, DealCloud, and Salesforce. A Matrix column can pull a comparable-transaction multiple next to a contract clause in the same row. Harvey’s sources are legal and internal. If the diligence question mixes deal economics with contract language, Hebbia answers it in one grid and Harvey needs two tools.
Chaining, not just extraction. Matrix-as-source lets one Matrix feed another, and the Workflow View renders column dependencies as a graph you can audit. That turns a review table into a pipeline: normalize entities in grid one, run the clause questions in grid two, roll the exceptions into grid three. Harvey’s conditional columns work inside a single table.
The output is a deck. Hebbia acquired FlashDocs in May 2025 and now drafts presentations with saved style templates. For a legal team that reports into an investment committee rather than a court, the last mile of the work is a slide deck, and Hebbia is the only one of the two that produces it.
The seat math bends. Hebbia splits Lite seats at roughly $3,000-3,500/user/year from Professional seats at about $10,000/user/year. Three power seats plus twenty consumption seats lands near $90K/year. Harvey does not sell a consumption tier.
It is already in the building. Hebbia holds 33% of the top global asset managers and serves firms managing $30T in AUM. Inside a PE firm or an asset manager, the legal team can requisition seats on an existing enterprise contract instead of opening a new procurement file. Latham & Watkins, Cleary Gottlieb, Ropes & Gray, and Seyfarth run it directly — Seyfarth has processed 7M+ pages and signed a firm-wide transactional partnership in March 2026.
Pricing reality
Harvey runs $500-$1,500 per user per month depending on the add-on bundle, with the common band near $1,200/seat/month — $14,400/seat/year — on a 20-seat minimum and a 12-month commit. That is a floor around $288K/year before any negotiated discount.
Hebbia does not publish prices either, but the tiering is public enough to model. Lite is $3,000-3,500/user/year, Professional about $10,000/user/year, Enterprise near $20,000/user/year with dedicated solutions engineering. A 20-person transactional group split 4 Professional and 16 Lite costs roughly $90-96K/year — about 3x cheaper than Harvey’s floor for the same headcount.
The gap narrows if you buy Hebbia Enterprise seats across the board, and it inverts nothing: Harvey is the more expensive product at every configuration. What the premium buys is legal grounding, the drafting surface, and a procurement track record. What it does not buy is a better grid.
The decision that actually matters
Ask who owns the budget line.
If the answer is the firm or the GC’s office, and the corpus is contracts and the questions are legal, the extra Harvey spend buys things you will use every week — Shepardized answers, Word-native editing, matter-scoped retention. Hebbia’s advantages are real and mostly irrelevant to that team.
If the answer is a deal team, an investment committee, or a legal function embedded inside a financial institution, Hebbia is already there, the connectors are the point, and asking that organization to fund a $288K legal-only seat block is a fight you will lose on the merits.
Verdict
Pick Harvey when you are a law firm or a corporate legal department; when answers need to resolve against primary law with a citator; when the deliverable is a redline or a memo rather than a grid; when ethical walls and per-matter retention are procurement gates; or when peer adoption across the AmLaw 100 is the argument that closes the internal sale.
Pick Hebbia when the corpus is mixed and the questions cross contract language with market data; when the team already sits inside a PE firm, bank, or asset manager running Hebbia; when you need chained grids rather than one review table; when the output is a deck for an investment committee; or when the budget gate is $90K/year, not $290K.
Pick neither when the job is narrow clause extraction against a known schema — Kira Systems and Luminance do that for less. When drafting is the whole job, Spellbook at $99-249/user/month is the right size. When the need is Word-native drafting and review at a mid-market budget, Legora lists near $3,000/user/year on a 10-seat floor — see harvey-vs-legora. When it is research only, Thomson Reuters CoCounsel or Lexis+ AI Protégé cost a fraction of either.
Default pick: Harvey. For a legal buyer, the corpus problem Hebbia solves is now a subset of what Harvey covers, and the parts Harvey adds — primary law with a citator, in-Word editing, per-matter governance — have no substitute inside Hebbia. Buy Hebbia when the finance side of your organization already runs it, or when your diligence questions genuinely need CapIQ and a contract clause in the same row. Those are conditions you can check today, not bets on a roadmap.
Harvey and Hebbia both get pitched to the same transactional team: a partner staring at 800 credit agreements who needs change-of-control, MFN, and assignment language extracted before Friday. The usual framing is that Harvey is the legal workflow suite and Hebbia is the grid. That framing was true in 2024. It is no longer the thing that decides the purchase.
Harvey’s Vault now ships review tables of up to 10,000 files with typed columns — free response, verbatim, classification — and conditional logic between them. That is a Matrix. The grid stopped being Hebbia’s moat about a year ago, and any vendor deck that still routes on “Harvey chats, Hebbia extracts” is selling you a 2024 map.
What actually decides it is what sits behind the columns, and which department signs the invoice.
Where Harvey wins
Where Hebbia wins
Pricing reality
Harvey runs $500-$1,500 per user per month depending on the add-on bundle, with the common band near $1,200/seat/month — $14,400/seat/year — on a 20-seat minimum and a 12-month commit. That is a floor around $288K/year before any negotiated discount.
Hebbia does not publish prices either, but the tiering is public enough to model. Lite is $3,000-3,500/user/year, Professional about $10,000/user/year, Enterprise near $20,000/user/year with dedicated solutions engineering. A 20-person transactional group split 4 Professional and 16 Lite costs roughly $90-96K/year — about 3x cheaper than Harvey’s floor for the same headcount.
The gap narrows if you buy Hebbia Enterprise seats across the board, and it inverts nothing: Harvey is the more expensive product at every configuration. What the premium buys is legal grounding, the drafting surface, and a procurement track record. What it does not buy is a better grid.
The decision that actually matters
Ask who owns the budget line.
If the answer is the firm or the GC’s office, and the corpus is contracts and the questions are legal, the extra Harvey spend buys things you will use every week — Shepardized answers, Word-native editing, matter-scoped retention. Hebbia’s advantages are real and mostly irrelevant to that team.
If the answer is a deal team, an investment committee, or a legal function embedded inside a financial institution, Hebbia is already there, the connectors are the point, and asking that organization to fund a $288K legal-only seat block is a fight you will lose on the merits.
Verdict
Default pick: Harvey. For a legal buyer, the corpus problem Hebbia solves is now a subset of what Harvey covers, and the parts Harvey adds — primary law with a citator, in-Word editing, per-matter governance — have no substitute inside Hebbia. Buy Hebbia when the finance side of your organization already runs it, or when your diligence questions genuinely need CapIQ and a contract clause in the same row. Those are conditions you can check today, not bets on a roadmap.