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Ivo AI, Inc. logo
Risk & ComplianceEstablished · 3 yrs on market

Ivo

AI for contracts: review, redline and extract insights from your agreements in minutes.

By Ivo AI, Inc. · HQ San Francisco, US · 4.5/5 Value-Position score (estimate)

Positioning guardrails

Best for

  • In-house legal and commercial contracting teams at large enterprises
  • Legal ops leaders handling high volumes of commercial agreements
  • Teams that want clause benchmarking against their own executed contracts
  • Organisations that need contract insight where the work already happens: Word and Google Docs

Ideal size: In-house legal teams of roughly 5–50+ people · Enterprise or scale-up with high, recurring contract volume

Not for

  • Law firms looking for practice management, time tracking or billing
  • Solo practitioners or teams with very low contract volume
  • Buyers wanting a full CLM suite with e-signature and obligation workflow in one product
  • Public-sector buyers requiring FedRAMP authorisation today

Value metrics scorecard

Time-to-Value

2–4 weeks

~30 days to first production value

Total Cost of Ownership

On request

Enterprise, quote-based pricing; no public price list is published — pricing is arranged through a demo.

Implementation Friction

2/5

Engineering + admin effort required

Value-Position score

4.5

out of 5 · model estimate

Full cost breakdown

Mandatory implementation fee

None

Seat tiers

Enterprise agreements; seat tiers are not published

Add-on costs

  • None

Company & support

Who is behind Ivo, and how your team gets help once it is live.

Company

Founded
Not recorded
Headquarters
San Francisco, US

How you get support

We haven’t recorded support channels for Ivo yet. Nothing here means unverified — not absent.

Market position

Where Ivo sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.

Quadrant view

Typical annual cost × Time-to-value

$0/yr$350/yr$120k/yr13d18d22d26d31dAnnual TCO ← betterDays to value better →Quick & CheapQuick & PriceySlow & CheapSlow & PriceyIvoScriveDattoLegalSifterZampAxcient

The lines cross at the median of the solutions shown, so about half sit on each side of each line.

Ivo is outlined. Click any dot to open its dossier.

Companies on the chart 6 / 10

  • Ivo
  • Scrive
  • Datto
  • LegalSifter
  • Zamp
  • Axcient
Add or change companies

Up to 10 companies including Ivo. Listed closest first.

Stack fit signal

Compatibility with standard B2B ecosystems.

MCPNot supported

No supported MCP path today, so it cannot be driven from an AI client.

SalesforceNot supported
AWSNot supported
SnowflakeNot supported
HubSpotNot supported
Google WorkspaceIntegration
Microsoft 365Native
SAPNot supported
SlackNot supported

AI & MCP readiness

What Ivo ships in AI, and what it asks of your ecosystem.

AI features shipped

AI-native
Copilot / assistantAI searchDocument processing

Sources describe AI contract review and redlining against playbooks, a contract assistant for Q&A on prior agreements, clause benchmarking against executed contracts, and plain-English querying of extracted contract data; Ivo describes a 'proprietary AI engine'. No source names model providers, a bring-your-own-key option, or AI usage logging/audit export.

Your data & models

Trains on your data
Never trains on your data
Runs on
Not recorded
AI pricing
Not recorded

In your ecosystem

AI connection
Not supported
Model key
Not recorded
AI usage audit
Not recorded

Compliance attestations

SOC 2 — not listedISO 27001 — not listedGDPR — not listedHIPAA — not listedFedRAMP — not listedCMMC — not listedISO 42001 — not listedIAPP AIGP* — not listed

* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.

Bottom line

Ivo is an AI contract review platform for in-house legal teams. It reviews and redlines agreements against your playbooks, benchmarks clauses against executed contracts, answers questions about what has been agreed before, and extracts contract data for plain-English querying — inside Microsoft Word and Google Docs. Named enterprise customers include IBM, Atlassian, Uber, CDW and Canva. Ivo states it never trains AI models on customer data. Pricing is quote-based and not published.

Frequently asked questions

What does Ivo actually do for a legal team?

Ivo reviews, redlines and extracts insight from commercial contracts. It checks clauses against your playbooks, historical contracts and deal context, benchmarks positions against executed agreements, answers questions about what was agreed previously, and lets you query extracted contract data in plain language. Redlines are applied directly in Microsoft Word or Google Docs.

Does Ivo train its AI models on our contracts?

Ivo's website states that it never trains AI models on customer data. That statement appears in the vendor's own 'Secure and compliant' section, and buyers should confirm the contractual wording during procurement.

How does Ivo fit into our existing document stack?

Ivo works where contracts already live: it ships a Microsoft Word Add-in and applies redlines directly in Word, and also supports Google Docs. The vendor markets the product around integrating with existing document workflows rather than replacing them.

What does Ivo cost?

Ivo does not publish pricing. Access is arranged through a request-demo process, so expect quote-based enterprise pricing rather than a self-serve plan. Budget discussions should cover seat count and contract volume before a pilot.

What security and privacy claims does Ivo make?

Ivo's website states it is SOC 2 and ISO 27001 certified and compliant with GDPR and CCPA, and that customer data is never used to train AI models. A Trust Center is linked from the site, and the privacy policy names trust.ivo.ai for sub-processor detail.

Is Ivo a replacement for a contract lifecycle management system?

No. Ivo is strongest at review, redlining and contract intelligence. It is not positioned as a full CLM covering drafting, e-signature, approvals and post-signature obligation management, so most buyers will run it alongside an existing CLM or repository.