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Legal · head to head

Everlaw vs Luminance

Everlaw logo

Everlaw

Legal

Cloud ediscovery and litigation platform

From
On request
Rated
-
Luminance logo

Luminance

Legal

Machine learning contract analysis for review, negotiation and compliance

From
On request
Rated
-

The short version

  • Each has a real cost: Everlaw quote-only pricing, and ediscovery is typically billed on data volume, which makes costs hard to predict in advance; Luminance no independent evaluation of its accuracy has been published, and it did not take part in the Vals Legal AI Report, so buyers have only vendor-produced evidence to work from.
  • They diverge on capability: Everlaw covers Document processing, Luminance covers Anomaly detection.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Everlaw and Luminance actually diverge.

Attributes where Everlaw and Luminance differ
AttributeEverlawLuminance
PlatformsWeb, CloudWeb, Windows

Identical on both: starting price (On request), pricing model (quote), free tier (No), user rating (Not yet rated), category (Legal).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Everlaw

  • Document processing
  • Predictive coding
  • Review workflow
  • Search and clustering
  • Case building
  • Cloud-native

Only in Luminance

  • Anomaly detection
  • Contract negotiation
  • Due diligence review
  • Multi-language analysis
  • Document comparison

What people use each for

The jobs each tool is most often brought in to do.

Everlaw

  • Litigation teams reviewing very large discovery document setsnot Luminance
  • Government and corporate investigations requiring defensible reviewnot Luminance
  • Firms wanting ediscovery without running on-premise infrastructurenot Luminance

Luminance

  • In-house teams auditing a contract estate for a specific exposure such as change of controlnot Everlaw
  • Procurement and compliance functions reviewing supplier agreements at scalenot Everlaw
  • Transaction teams reviewing large contract populations against a deal deadlinenot Everlaw
  • Negotiation teams applying a standard playbook consistently across many counterpartiesnot Everlaw

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Everlaw

  • Quote-only pricing, and ediscovery is typically billed on data volume, which makes costs hard to predict in advance
  • Specialist product: outside litigation and investigations there is no use for it
  • Predictive coding requires a properly trained review workflow, and poor input produces unreliable prioritisation
  • Data volume charges can escalate sharply on large matters

Luminance

  • No independent evaluation of its accuracy has been published, and it did not take part in the Vals Legal AI Report, so buyers have only vendor-produced evidence to work from.
  • The one named accuracy benchmark, ContractIQ Bench, was built, run and scored by Luminance on a dataset it has not released, against comparison models it does not name.
  • Value scales with document volume, so an organisation reviewing tens rather than thousands of contracts will not recover the licence cost.
  • Output still requires qualified review, so it reduces reading time rather than removing the lawyer, and staffing plans that assume otherwise fail.
  • Pricing is not published, so cost per matter cannot be modelled until after a sales process and a proof of concept.

Pricing, plan by plan

Everlaw

On request

No published plan breakdown. See the Everlaw review.

Luminance

On request
  • Luminance$undefined/year
    • Enterprise licensing quoted per organisation
    • Scoped by user count and document volume
    • Proof of concept normally run before contracting

Which should you pick?

Choose Everlaw if

  • You need document processing.
  • You work on Web, Cloud.
  • You also want predictive coding.

Choose Luminance if

  • You need anomaly detection.
  • You work on Web, Windows.
  • You also want contract negotiation.

Questions people ask

Is Everlaw or Luminance better?
Neither clearly leads. Everlaw starts at On request and Luminance at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Everlaw or Luminance?
Everlaw starts at On request and Luminance at On request.
Does Everlaw or Luminance run on more platforms?
Everlaw runs on Web, Cloud. Luminance runs on Web, Windows.
What is Everlaw best used for?
Everlaw is most often used for litigation teams reviewing very large discovery document sets, government and corporate investigations requiring defensible review, firms wanting ediscovery without running on-premise infrastructure. Of those, litigation teams reviewing very large discovery document sets and government and corporate investigations requiring defensible review are not what Luminance is typically brought in for.
What can Everlaw do that Luminance cannot?
Everlaw covers Document processing, Predictive coding, Review workflow, Search and clustering. Luminance covers Anomaly detection, Contract negotiation, Due diligence review, Multi-language analysis.

Answered from the vendors’ own pages

Everlaw: What does Everlaw cost?

Everlaw does not publish rates. Ediscovery is generally priced on data volume and users, which is why costs are quoted per matter or per organisation.

Luminance: Is Luminance's accuracy independently verified?

No independent verification has been published. It did not participate in the Vals Legal AI Report, the main lawyer-baselined benchmark, and the only named benchmark in its materials is one it built and ran itself. Treat the published figures as vendor claims and run a proof of concept on your own documents.

Everlaw: What is ediscovery?

The process of identifying, collecting and reviewing electronic documents as evidence in litigation or investigation.

Luminance: What do the ninety per cent time-saving claims mean?

They are unattributed marketing figures about time and cost rather than accuracy, published without methodology, dataset or baseline. They are not a measure of how often the software is right.

Everlaw: What is predictive coding?

Machine learning trained on reviewer decisions to prioritise documents likely to be relevant, so a team reviews the important fraction rather than everything.

Luminance: Who backs Luminance?

It launched in 2016 with backing from Invoke Capital, the fund founded by Mike Lynch, and has since raised further rounds led by March Capital and Point72 Private Investments.

Everlaw: Is Everlaw only for law firms?

No. Corporate legal departments and government agencies use it for investigations as well as litigation.

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