Legal · head to head
DISCO vs Everlaw
DISCO
Legal
Cloud e-discovery priced by data volume, with review, legal hold and case preparation in one platform
- From
- On request
- Rated
- -
The short version
- Each has a real cost: DISCO per-gigabyte pricing that is attractive on a 200 gigabyte matter becomes the dominant line item on multi-terabyte collections, and the only cost lever left is aggressive culling before upload.; Everlaw quote-only pricing, and ediscovery is typically billed on data volume, which makes costs hard to predict in advance
- They diverge on capability: DISCO covers All-in per-gigabyte pricing, Everlaw covers Document processing.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which DISCO and Everlaw actually diverge.
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 DISCO
- All-in per-gigabyte pricing
- Cecilia AI
- Technology assisted review
- Legal hold
- Case Builder
- Self-service ingestion
Only in Everlaw
- Document processing
- Predictive coding
- Review workflow
- Search and clustering
- Case building
- Cloud-native
What people use each for
The jobs each tool is most often brought in to do.
DISCO
- A litigation team that needs a matter budget approved before the volume of collected data is fully knownnot Everlaw
- A firm that wants unlimited reviewer accounts without paying per seat during a document review surgenot Everlaw
- An in-house legal department consolidating legal hold and review with one vendor instead of twonot Everlaw
- A case where speed of ingestion matters more than the analytics depth of an enterprise review platformnot Everlaw
Everlaw
- Litigation teams reviewing very large discovery document setsnot DISCO
- Government and corporate investigations requiring defensible reviewnot DISCO
- Firms wanting ediscovery without running on-premise infrastructurenot DISCO
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
DISCO
- Per-gigabyte pricing that is attractive on a 200 gigabyte matter becomes the dominant line item on multi-terabyte collections, and the only cost lever left is aggressive culling before upload.
- Hosting is cloud only in United States regions, so matters with European, United Kingdom or Australian data residency requirements are excluded outright.
- Review analytics, scripting and the third-party application ecosystem remain deeper on Relativity, which matters for firms with established review workflows.
- As a listed company reporting losses, it has been through leadership change including the founder departure in 2023, so multi-year roadmap commitments carry more risk than with a private vendor.
- Complex productions and unusual data types still require professional services, so the promise of self-service holds mainly for mainstream email and document collections.
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
Pricing, plan by plan
DISCO
On request- DISCO Ediscovery$undefined/year
- Quoted per gigabyte of hosted data per month with unlimited users
- Annual commitments and volume tiers negotiated for firms with steady caseloads
- Legal hold, Case Builder and AI features priced as separate modules
Everlaw
On requestNo published plan breakdown. See the Everlaw review.
Which should you pick?
Choose Everlaw if
- You need document processing.
- You work on Web, Cloud.
- You also want predictive coding.
Questions people ask
- Is DISCO or Everlaw better?
- Neither clearly leads. DISCO starts at On request and Everlaw at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DISCO or Everlaw?
- DISCO starts at On request and Everlaw at On request.
- Does DISCO or Everlaw run on more platforms?
- DISCO runs on Web. Everlaw runs on Web, Cloud.
- What is DISCO best used for?
- DISCO is most often used for a litigation team that needs a matter budget approved before the volume of collected data is fully known, a firm that wants unlimited reviewer accounts without paying per seat during a document review surge, an in-house legal department consolidating legal hold and review with one vendor instead of two, a case where speed of ingestion matters more than the analytics depth of an enterprise review platform. Of those, a litigation team that needs a matter budget approved before the volume of collected data is fully known and a firm that wants unlimited reviewer accounts without paying per seat during a document review surge are not what Everlaw is typically brought in for.
- What can DISCO do that Everlaw cannot?
- DISCO covers All-in per-gigabyte pricing, Cecilia AI, Technology assisted review, Legal hold. Everlaw covers Document processing, Predictive coding, Review workflow, Search and clustering.
Answered from the vendors’ own pages
DISCO: How is DISCO priced?
Per gigabyte of hosted data per month, all-in, with unlimited users. There is no published rate card, so it is quoted.
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.
DISCO: Can data be hosted outside the United States?
Coverage is centred on United States cloud regions, so confirm residency before shortlisting for European or Australian matters.
Everlaw: What is ediscovery?
The process of identifying, collecting and reviewing electronic documents as evidence in litigation or investigation.
DISCO: Is it cheaper than Relativity?
On small and mid-sized matters usually yes, because seats and analytics are included. On very large collections the volume charge often overtakes a negotiated Relativity arrangement.
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.
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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