Everlaw vs DISCO: E-Discovery Platforms Compared
Everlaw and DISCO are the two cloud-native e-discovery platforms that mid-size litigation teams most often weigh against each other, and they differ less on whether the AI works than on how the AI is sold and how much of the platform you configure yourself. Everlaw offers a broader AI toolset across search, review, deposition work and drafting, with unlimited user licenses and AI that mixes included single-document use with credit-metered batch work. DISCO sells a simpler bill: a per-GB rate on processed data, unlimited use of its Cecilia AI at no extra charge, and a separate per-document charge for Auto Review. Neither publishes a dollar figure for the platform itself, so the comparison that matters is the structure of the quote, the amount of administration your team will own, and whether your matters are review-heavy or deposition-heavy.
We do not sell, resell or take referral fees from either platform. This is software evaluation and industry analysis, not legal advice. Everything below about what each vendor offers comes from the vendors' own public pages as of October 2026, and where a page is silent we say so rather than fill the gap.
How do Everlaw and DISCO differ in design?
Both are built for the cloud from the start, which is the first thing that separates them from older, installed-software lineage platforms. Neither asks you to host servers, patch a database or run a separate analytics stack. What differs is the philosophy of the product.
Everlaw is organized as one platform with a long, continuous feature list. Its pricing page groups the platform into ingestion and processing, review and productions, AI and analytics, deposition and drafting, and support and training. The idea is that a case team can carry a matter from the first upload through to the narrative for a motion without leaving the tool.
DISCO frames its product around the AI layer and a managed relationship. Its own materials describe a single partner for software and services, say that bringing e-discovery in-house does not require hiring specialized technicians, and promise onboarding and training included with a migration. The pitch is fewer moving parts and a vendor team that does the heavy lifting around you.
That difference shows up in everyday work. In Everlaw, a power user will find more levers, more analytics views and more places a team can build its own workflow. In DISCO, the team is more likely to lean on the vendor's professional services for setup and migrations. Neither approach is better in the abstract. It depends on whether your people want a toolbox or a service.
For the wider market, including Relativity, see our AI e-discovery software comparison. This post stays on the two cloud-native platforms.
How do their AI review features compare?
Start with the vendors' own descriptions.
Everlaw's AI is a set of named features. Per its pricing page and comparison material, they include Coding Suggestions, Deep Dive (natural language questions answered with citations back to documents), Machine Translation, Custom Extractions, predictive coding, clustering and email threading, and a writing assistant. Single-document use of Coding Suggestions, translation and extractions needs no credits. Batch use runs on credits.
DISCO's AI is Cecilia plus Auto Review. Per DISCO's pricing page, Cecilia covers question answering across a case or a single document, document and deposition summaries, definitions and automatic timelines. Auto Review is the first-pass review product: DISCO describes it as AI tag suggestions with explanations and review metrics, and claims first-pass review "in hours, not days," with speeds of up to 32,000 documents per hour. Those are vendor claims. The page describes its accuracy benchmark inconsistently (human reviewers in one place, industry average in another), so treat the stated precision and recall improvement as marketing until you test it on your own documents.
What stands out is how each vendor wants you to use the AI:
- Everlaw leans toward assisted review inside a larger workflow. The AI suggests, the reviewer decides, and the same assistant layer carries over into search and drafting.
- DISCO leans toward asking questions of the record and automating first pass. Cecilia is the front door, and Auto Review is the production line behind it.
Both claim citations or explanations behind AI output, which matters because a reviewer has to be able to audit a call quickly. Neither vendor publishes a controlled head-to-head against the other, and no neutral benchmark of the two on identical data exists in the sources we could verify. Anyone who gives you a clean winner on accuracy is not showing you a method. The only trustworthy test is a pilot on a slice of your own matter, scored against calls your reviewers already made. Our guide on how to evaluate legal AI tools lays out how to run one.
How does each price hosting and review?
This is the section where the two platforms are most different, and the section where the most misinformation circulates.
DISCO is the more explicit of the two. Its pricing page says it bills on processed data, with no additional charge for unlimited use of Cecilia. Platform features and legal hold fall under a per-GB rate. Auto Review is priced separately, per document. The page shows no list prices, offers quote requests, and does not mention a minimum or a free trial.
Everlaw publishes the structure but not the numbers. User licenses are unlimited. Onboarding, training, support and a standard data migration are listed as part of the package. Several AI features run on credits for batch work. Third-party sources report a monthly platform fee plus a per-GB hosting rate, but those are unpublished and unverified, and we have covered the reported ranges and their caveats in our Everlaw pricing breakdown. Use them to frame questions, not to build a budget.
| Pricing element | Everlaw | DISCO |
|---|---|---|
| Published dollar rates | None | None |
| Core billing unit | Hosted data, with a platform element (reported) | Processed data, per GB |
| User licenses | Unlimited | Not stated for the platform; unlimited users listed for legal hold |
| AI metering | Credits for batch actions; single-document actions need none | Cecilia unlimited at no extra charge; Auto Review per document |
| Onboarding and support | Listed as included | Onboarding and training described as included with migrations |
| Free trial stated | No | No |
The real difference is where the unpredictability sits. With Everlaw, the variable to watch is AI credit consumption on batch jobs, especially when a team re-runs a prompt across a large set. With DISCO, the variable to watch is the per-document Auto Review charge, which scales with how many documents you push through automated first pass.
A useful way to compare quotes is to ask each vendor to price the same hypothetical matter: say 100 GB processed, a review population you define, one pass of AI-assisted first review, six months of hosting and a production. Put the same inputs in front of both. Then ask what happens to the bill if the population doubles mid-matter and when the bill falls if you delete or export data.
Platform cost is also not independent of the case itself. Federal Rule of Civil Procedure 26(b)(1) ties the scope of discovery to proportionality, including whether the burden or expense of the proposed discovery outweighs its likely benefit. How that applies to a specific matter is a question for the lawyers on it. Our legal AI pricing guide covers the wider procurement conversation.
Everlaw vs DISCO scorecard
These are structural judgments about how each product is built and sold, based on vendor documentation. They are not benchmark results.
| Dimension | Everlaw | DISCO |
|---|---|---|
| AI review | Broad toolset: coding suggestions, predictive coding, clustering, Q&A with citations, translation, extractions | Cecilia Q&A and summaries plus Auto Review for first pass with explained tag suggestions |
| Early case assessment | Q&A and clustering support early exploration; ECA is not listed as a named feature on the pricing page | AI described as supporting the process "from early case assessment through trial"; no specifics given |
| Hosting cost model | Not published; hosted data plus AI credits | Per-GB on processed data; Cecilia unlimited; Auto Review per document |
| Admin overhead | Low to moderate. Self-service posture with more levers to learn | Low. Vendor-assisted posture, fewer configuration choices |
| Deposition and trial tools | Timelines, transcript analysis and Deep Dive for transcripts listed under deposition and drafting | Deposition summaries and a Deposition Management product listed; feature detail not public |
Two notes on that scorecard. First, early case assessment is the weakest-documented row for both. Neither vendor describes a standalone ECA module in the public pages we reviewed, so ask for a live demonstration of exactly how you would triage a fresh data set in week one. Second, deposition tooling is where Everlaw's public documentation is more specific. That is a statement about what is published, not a verdict on what DISCO can do, so ask DISCO for the workflow and judge it on a real transcript.
If transcripts are central to your practice, our guide to AI deposition summary tools covers the category beyond these two platforms.
Which is easier for a small litigation team?
Both vendors market ease of use, and the sensible reading is that both are easier than the older generation of installed e-discovery software. Still, they ask different things of a small team.
Everlaw gives a small team unlimited user licenses and a built-in training program, which removes two common friction points: paying per seat for an occasional reviewer and paying separately to learn the tool. The trade-off is breadth. A larger feature surface means a larger learning surface, and a five-person firm will use a fraction of it.
DISCO's small-team case rests on managed onboarding and a simple unit of cost. If your firm has no one who wants to own a platform, a vendor that offers to handle migrations and training will feel lighter. The risk is dependence: if the vendor's services team is how things get done, you want service levels in writing.
For either platform, a firm with only a few small matters a year should be cautious. A standing platform commitment is a real cost for occasional use, and a service provider that hosts and manages a matter for you can be the cheaper route. We discuss that decision in our guide to AI for small law firms.
Which one fits which caseload?
Everlaw tends to fit teams whose matters run from review through deposition and into drafting, who want one environment for all of it, and who have at least one person willing to learn a deep toolset. Its unlimited users help when co-counsel, contract reviewers and clients all need access.
DISCO tends to fit teams whose bottleneck is getting through a large first-pass review quickly, who prefer a per-GB model with unlimited AI questions, and who want the vendor to carry migrations and training. It also suits groups that want to ask a question of the whole record on day one rather than design a workflow first.
Neither is the obvious answer if your matters are small, infrequent or heavily dependent on a specific partner ecosystem. In that case, a managed service, a smaller cloud tool or a platform your co-counsel already uses may be better.
Whichever way you lean, run the same pilot on both. Use one real slice of a closed matter, the same reviewers, the same questions, and compare against decisions already made. The pilot will tell you more in two weeks than any comparison page, including this one.
The Everlaw listing and DISCO listing in our directory summarize each tool, and the compare tool lets you set tools side by side. The whole litigation bench is at e-discovery tools.
FAQ
Is DISCO cheaper than Everlaw?
No one outside a quote can say. Neither vendor publishes a platform price. DISCO states a per-GB rate on processed data with unlimited Cecilia use and a separate per-document charge for Auto Review. Everlaw publishes unlimited users and credit-based batch AI but no rates. Get both to quote the same matter profile and compare totals, not rate cards.
Which has better AI for document review?
Both have credible AI review, and no neutral head-to-head exists in the sources we could verify. Everlaw offers a broader set of review and analytics features. DISCO offers Cecilia and a dedicated Auto Review product for first pass. Pilot both on your own documents and score them against your reviewers' existing calls.
Do Everlaw and DISCO charge per GB?
DISCO states that its platform is priced per GB on processed data. Everlaw does not publish its unit; third-party sources report a hosted-data rate on top of a platform fee, but that is unverified. Confirm in writing how each vendor measures data, what counts as billable and how billing changes when data is removed.
Can a small firm use Everlaw or DISCO?
Yes, if the litigation volume justifies a standing platform. Everlaw's unlimited user licenses and included training suit small teams, and DISCO's managed onboarding suits firms without a platform owner. For a handful of small matters a year, a managed service provider may cost less than a direct subscription.