Everlaw Pricing: What the Platform Costs and Why
Everlaw does not publish a rate. Its own pricing page lists what the platform includes, shows no dollar figures, and sends you to a demo request. What that page does tell you is how the bill is built: user licenses are unlimited, and Everlaw's AI features are split between single-document actions that carry no credits and batch actions that run on credits. Third-party sources report a platform fee of roughly $2,000 to $5,000 or more per month plus about $18 to $35 per GB of hosted data per month, but those are reported figures, not quotes. The practical takeaway is that the number you control is not the rate. It is how many gigabytes you host and for how many months, which is why a matter that sits in the platform for a year costs several times what the same data costs over a quarter. Below is the pricing model, what has been reported, and a worked example that shows where time changes the total.
This is software evaluation and industry analysis, not legal advice.
How does Everlaw structure its pricing?
Start with what is on the vendor's own page. The Everlaw pricing page describes a single platform with the same feature list for every buyer, grouped into ingestion and processing, review and productions, AI and analytics, deposition and drafting, and support and training. Four things on that page shape the budget.
First, unlimited user licenses. Adding a co-counsel, a contract reviewer or a client contact does not add a seat fee. That is a real structural difference from older per-user models, and it means review team size is not the cost driver it is on some platforms.
Second, the support layer is part of the package. Onboarding and implementation, online customer training, support and a standard data migration are all listed as included, so they should not appear as separate professional services lines on a standard deployment.
Third, the processing and review tooling is listed without add-on markers. Processing speed is stated as one million documents per hour, and batch redactions, email threading and advanced productions with clawbacks appear in the feature list. The one workflow marked as an add-on is the public records module: intake portal, case management and compliance reporting.
Fourth, and most important for budgeting, the AI line items. Coding Suggestions, Deep Dive natural language Q&A, Machine Translation and Custom Extractions are each marked as credit-based, with a note that single-document use of Coding Suggestions, translation and extractions needs no credits. Predictive coding and concept clustering appear in the same table without a credits note.
Put together, the commercial unit is hosted data, with AI credits layered on top for batch work. Everything else on the page is presented as part of the platform.
What does Everlaw's billing documentation reveal?
Everlaw maintains a Billing and Pricing FAQ in its support knowledge base. At the time of writing it sat behind a bot check that blocked automated access, so we could not read it line by line, and we are not going to paraphrase a page we could not open. Open it yourself before you sign anything. It is where a vendor describes, in its own words, how hosting is measured and what happens to billing when data is removed.
What a buyer should confirm from that page, and then again in writing in the order form:
- How hosted data is measured. Is it a monthly snapshot, a peak, or an average across the period?
- What counts as hosted. Do closed matters, archived data and unprocessed uploads all count?
- What happens when you delete. Does the bill fall the following month, or at the next renewal?
- Minimums and terms. Is there a monthly minimum, and is the contract annual?
Relativity's own billing documentation is explicit about tiers and peak days, which we covered in our Relativity pricing breakdown. Every platform in this category has an answer to those four questions. The ones that are hard to find are the ones to ask about first.
How is Everlaw AI priced?
Everlaw's AI suite is the part of the bill that is hardest to forecast, because it is metered on usage rather than on storage. From the pricing page, the structure is this:
| AI capability | How the pricing page treats it |
|---|---|
| Coding Suggestions | Credits, with single-document use needing no credits |
| Deep Dive (natural language Q&A) | Credits |
| Machine Translation (100+ languages) | Credits, with single-document use needing no credits |
| Custom Extractions | Credits, with single-document use needing no credits |
| Predictive Coding, Concept Clustering | Listed without a credits note |
| Writing Assistant, Timelines, Transcript Analysis | Listed without a credits note |
A pricing summary from TheLawGPT, a legal AI vendor whose product is not an e-discovery platform, describes the same pattern: single-document AI included in the subscription and batch AI actions requiring credits purchased separately. It does not publish a credit price, and neither does Everlaw. We found no credit rate in any source we could verify, so we are not going to give you one.
What this means in practice:
- Asking one question of one document is cheap or free. Running a coding pass across a collection is not. The cost scales with how many documents you push through a batch action and how many times you re-run it.
- Iteration is the hidden multiplier. If you refine a prompt and re-run it across ten thousand documents, ask whether each run consumes credits again.
- Credits belong in the contract. Ask how many are included, whether unused credits roll over, what a top-up costs, and whether the figure is fixed for the term.
Everlaw also runs an Everlaw for Good program for nonprofits, pro bono teams, journalists, educators and CJA attorneys. Its terms: free access up to a monthly cap, heavily discounted rates for larger matters, unlimited licenses with processing, transcription, translation, productions and Storybuilder at no extra charge, and a volume of AI credits included. That is the only free tier Everlaw publishes, and it is for eligible organizations, not for general commercial use.
What do buyers report paying?
Everlaw's list prices are not public, so everything in this section is reported by third parties, and it should be read that way.
| Cost component | Reported range | Source |
|---|---|---|
| Platform fee | $2,000 to $5,000 or more per month | AI Vortex (May 2026), TheLawGPT |
| Data hosting | $18 to $35 per GB per month, with discounts reported above 500 GB | AI Vortex, TheLawGPT |
| Processing | Included in most reports; AI Vortex notes some contracts charge $20 to $40 per GB for ingestion | AI Vortex |
| User licenses | Unlimited | Everlaw pricing page, both sources |
| Batch AI | Credits, purchased separately | Everlaw pricing page, TheLawGPT |
| Entry listing | "Starting at $250 per month" | Software Advice, as reported by Rev |
Three cautions apply before you use any of that.
The two main sources overlap. AI Vortex and TheLawGPT report the same platform and hosting ranges almost to the dollar. Two pages repeating one range is closer to one data point than two. Neither names a contract it drew the figures from.
The $250 figure is a listing placeholder, not a price. Rev reports that Software Advice shows basic plans from $250 per month,. A platform fee reported in the thousands and a listing entry of $250 cannot both describe a real matter. Treat the listing figure as a data-entry artifact of a lead-generation profile, and do not budget from it.
Everlaw's own cost content points the other way. Everlaw's published article on ediscovery costs says its pricing model means you are "never surprised by hidden costs," and cites an industry average of around $25 per 100 gigabytes for all-in per-case or per-month billing. That is a far lower figure than the per-GB-per-month range above, and the two are not reconcilable without knowing what each includes. This is exactly why a written quote beats any range.
The honest summary: you can expect a quote that has a fixed monthly element and a per-GB element, and the per-GB element is the one that moves.
A worked example: one matter, three data volumes, twelve months
This is arithmetic on the reported hosting range of $18 to $35 per GB per month, not a quote. The platform fee, reported at $2,000 to $5,000 or more per month, sits on top of every row and is left out so the effect of hosting time is visible by itself. Volume discounts, reported above 500 GB, would lower the large row.
| Hosted data | Monthly hosting | 3 months | 6 months | 12 months |
|---|---|---|---|---|
| 25 GB | $450 to $875 | $1,350 to $2,625 | $2,700 to $5,250 | $5,400 to $10,500 |
| 100 GB | $1,800 to $3,500 | $5,400 to $10,500 | $10,800 to $21,000 | $21,600 to $42,000 |
| 500 GB | $9,000 to $17,500 | $27,000 to $52,500 | $54,000 to $105,000 | $108,000 to $210,000 |
Read down a column and volume is the lever: each step up in data multiplies the hosting line. Read across a row and time is the lever: leaving 100 GB hosted for a year costs four times what a quarter costs.
The third lever is the one buyers miss. Suppose a 100 GB matter spends three months in active review and then needs only light access for the other nine. If the whole collection stays hosted, the 12-month hosting line is the $21,600 to $42,000 shown above. If the culled, relevant subset is a quarter of the original and the rest is deleted or exported after review, the other nine months run on roughly 25 GB: about $4,050 to $7,875 on top of the first quarter's $5,400 to $10,500. That is a combined $9,450 to $18,375 against $21,600 to $42,000, using the same reported range. The saving depends entirely on whether your contract lets billing fall when data leaves, which is the first question for the sales call.
How does it compare to Relativity and DISCO?
None of the three publishes a rate. What differs is the shape of the model.
Relativity. Its pricing page sells a committed data volume with pay as you go, one-year or three-year options, and states that AI comes with the data volume. Our Relativity pricing breakdown covers the tiers and the peak-day billing line. Everlaw's difference on paper is that its AI is credit-metered for batch work rather than folded into one volume figure.
DISCO. Pricing is on request in our directory. AI Vortex reports hosting at $15 to $25 per GB per month and separate processing charges, which would make DISCO slightly cheaper on hosting and less inclusive on processing. That is one third-party report of an unpublished price, so it only tells you what to ask, not what you will pay.
For a head-to-head on capabilities rather than price, see our AI e-discovery software comparison. The right comparison is total annual cost for your matter profile: peak GB, months hosted, review team size and how much batch AI you expect to run. Get all three vendors to quote against the same profile.
Questions to put to Everlaw sales
- What is the monthly platform fee, and is there a minimum term?
- How is hosted data measured, and does the bill fall when we delete or export?
- How many AI credits are included, what does a top-up cost, and does a re-run consume credits again?
- Is processing, including complex file types, included at the quoted rate?
- What does the rate become above 500 GB, and above 1 TB?
- What are the terms for data export at the end of the contract?
If the discovery budget matters to the case itself, remember that 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. Platform cost is one input to that conversation, which is a matter for the lawyers on the case, not for this article.
Compare e-discovery platforms by pricing line in the e-discovery category, or start from the Everlaw listing. For the wider market, see our legal AI pricing guide.
FAQ
How much does Everlaw cost per GB?
Everlaw does not publish a per-GB rate. Third-party sources report roughly $18 to $35 per GB of hosted data per month, with discounts reported above 500 GB, on top of a platform fee reported at $2,000 to $5,000 or more per month. Treat those as reported ranges and get a written quote.
Does Everlaw charge for the AI assistant?
Partly. On Everlaw's pricing page, Coding Suggestions, Deep Dive, Machine Translation and Custom Extractions are credit-based, with single-document use of Coding Suggestions, translation and extractions needing no credits. Batch work consumes credits. Ask what is included in your contract and what a top-up costs.
Does Everlaw have a free trial?
We found no free trial on Everlaw's pricing page, and Rev reports that Software Advice lists none. The pricing page directs buyers to request a demo. The only free access Everlaw publishes is through Everlaw for Good, which is for eligible nonprofits, pro bono teams, journalists, educators and CJA attorneys, up to a monthly cap.
Is Everlaw good for small firms?
It depends on litigation volume. Unlimited user licenses and included onboarding help a small team that runs real discovery, and Rev describes the learning curve as friendly to boutique firms. But a reported platform fee in the thousands per month is hard to justify for a firm with an occasional small matter. A service provider that hosts the matter for you can be the cheaper route. Our guide to AI for small law firms covers that decision.