vioscale
Comparison

Everlaw vs Relativity

On the evidence we track, Everlaw leads this comparison with a composite score of 62/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Everlaw full profile →Relativity full profile →
Machine formatsJSONMarkdownGraphQLor send Accept: application/json
★Everlaw62
Relativity23
Score
Vioscale score
Everlaw62 / 100medium · 73%updating
Relativity23 / 100low · 19%updating
Pricing
Free tier
Everlaw✗
Relativity✗
Model
Everlawcommercial
Relativitycommercial
Price level
Everlawunknown
Relativityunknown
Transparent
Everlaw✓
Relativity✗
Integrations
Count
Everlaw7
Relativity4
Security
Disclosure policy
Everlaw✓
Relativity✓
Fedramp
Everlaw✓
Relativity✓
Soc2
Everlaw✓
Relativity–
Reliability
Sla pct
Everlaw99.95
Relativity–
Status page
Everlaw✓
Relativity–
Market
Availability

Capabilities

Feature-by-feature on the axes that matter for legal software. “-” means undocumented, not absent.

Core
Product type
EverlawE-discovery
RelativityE-discovery
CLM
Contract authoring / templates
Everlaw✗
Relativity✗
Negotiation / redlining
Everlaw✗
Relativity✗
Contract repository
EverlawNone
RelativityNone
Obligation / renewal tracking
Everlaw✗
Relativity✗
AI
AI contract review / drafting
EverlawFull review + drafting
RelativityFull review + drafting
E-signature
E-signature legal validity
EverlawNone
RelativityNone
E-discovery
E-discovery
EverlawFull EDRM (processing to production)
RelativityFull EDRM (processing to production)
Legal hold / chain of custody
Everlaw✓
Relativity✓
Integrations
Word / Outlook add-ins
Everlaw✗
Relativity✗
Document-store integrations
Everlaw✓
Relativity-
SSO / SCIM
Everlaw-
Relativity-
API access
EverlawNone
Relativity-
Compliance
Data residency
EverlawFedRAMP Moderate compliant
RelativityIreland, US (Atlanta)

What each one is

The product in its own terms, so the numbers below have context.

Everlaw

Leader

A cloud-based platform that helps legal teams streamline document discovery, automate review workflows, and analyze evidence using generative AI to accelerate case development and litigation.

Independently observed

Relativity

RelativityOne is an AI-driven platform designed to help legal teams organize and analyze complex legal data at scale. It includes specialized AI products for document review, privilege identification, case strategy, and data breach response.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Everlaw

Leader
Subscription

Subscription-based, per-GB data pricing with unlimited user seats. Includes core features and single-document AI actions. Batch AI operations require additional credits.

  • Platform SubscriptionContact sales
    • Unlimited user licenses
    • Legal holds and chain of custody
    • Native support for Slack, Teams, iMessage, WhatsApp, and other novel data types
    • Redaction and data masking tools
    • Processing and imaging
    • +10 more
as of verify ↗

Relativity

Quote-based

Flexible, predictable pricing; pay-as-you-go or commit 1-3 years for savings

  • RelativityOneContact sales
    • Relativity aiR for Review
    • aiR for Privilege
    • aiR for Case Strategy
    • Document extraction and classification
    • 24/7 Global Support
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Everlaw✓
Relativity✓
Deployment
Cloud / SaaS
Everlaw✓
Relativity✓
On-premise
Everlaw✗
Relativity✓

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (1)
  • Microsoft

Everlaw

Leader
9 total - 8 not shared
  • Google
  • Slack
  • Zoom
  • Microsoft 365
  • Microsoft Teams
  • Google Workspace
  • iMessage
  • WhatsApp
Independently observed

Relativity

4 total - 3 not shared
  • Claude
  • ChatGPT
  • Gemini
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.