If you are a mid-sized litigation firm comparing e-discovery platforms, you are past theory. You have a matter, a document volume, and a budget, and you need to know which platform gets you to a defensible production without wrecking your timeline, your fee arrangement, or your duty to protect privileged data.
Every platform on this list now advertises AI. That is the wrong thing to compare, because they nearly all have it. Three older, sharper questions decide it instead. Was the AI built into the platform, or bolted onto it? Does the platform run the full workflow, from organizing your files to a court-ready production, or only the review step in the middle? And how does it protect the confidentiality and privacy of your clients’ data, including where that data lives?
Quick answer: Relativity and Everlaw are review databases with generative AI added on top. DISCO is a strong, cloud-native review platform with genuine generative AI. Logikcull is a low-cost, self-service tool for small matters, now owned by Reveal. All four run on someone else’s cloud. DecoverAI is the one AI-native system that unifies the document store, the review database, and the AI core, publishes a flat rate of $60/GB/month, and can run inside your own infrastructure so privileged data never leaves the building. For a mid-sized firm that wants faster review, a price it can see, and data it controls, DecoverAI is the answer.
Walk into most firms and a single matter’s files are scattered across SharePoint, Google Drive, email inboxes, and personal laptops. Every place you add is another copy of the data, another login, and another set of permissions to manage. That sprawl is hard to audit, hard to secure, and it is one of the quiet reasons discovery is so expensive to run and so hard to scale.
DecoverAI collapses that into one system with two halves and an AI core underneath.
Relativity, Everlaw, and DISCO are the review half. SharePoint and Google Drive are the file half. DecoverAI is both, AI-native, in one place. That is the difference in one sentence: they sell you a review database, DecoverAI gives you the system your matter actually lives in.
Some history, because it is the whole point. Relativity launched in 2001 and was built for an on-premise world. Everlaw arrived around 2010. Both grew up around keyword search, analytics, technology-assisted review, and human-led coding, and generative AI came later, layered on top of platforms that already existed. Relativity’s aiR suite and Everlaw’s AI Assistant both landed in 2023 and after. Logikcull is getting its generative AI now, added by Reveal after the acquisition. DISCO is the exception worth naming plainly. It has invested in AI for years, and its Cecilia suite is genuinely strong; even so, Cecilia is a suite added onto DISCO’s review database, not the core the platform was built on.
DecoverAI started from the other end. Large language model classification is the engine. Everything else, the privilege log, the redactions, the Bates-stamped production, comes out of that single pass.
Legal technology already lived through this shift once. On-premise review software bolted a web client onto a desktop product, then lost to cloud-native platforms built for the browser from day one. Relativity itself made that jump, from Relativity Server to RelativityOne. Architecture set the ceiling then. It sets the ceiling again with AI. A legacy platform can ship a capable AI feature, the same way a carmaker can build a good electric vehicle on a combustion platform. The company that designed the whole car around the battery does not carry the old engine’s weight.
That difference surfaces in three places you feel directly.
Architecture turns into dollars here. This is where a lean litigation firm wins back its margin.
The market runs a wide spread. Relativity is enterprise-priced and commonly reported in the range of $20,000 to $100,000 or more per year. Everlaw is usage-based and often starts around $2,000 a month for small matters. Logikcull starts near $250 a month plus per-GB data charges. DISCO moved in early 2026 to all-inclusive per-GB pricing with no seat fees, though its actual rate is quote-based rather than published. DecoverAI publishes its number: a flat $60/GB/month, all-in, with no minimum.
On the AI itself, DecoverAI runs document review as low as 2 cents per document, with AI included, no credits, and no token surcharges. On platforms that meter AI, per-document review can reach up to 40 cents once you account for token-based document inflation, where a single long file counts as several documents, plus any service-provider markup.
The gap is widest where it counts, at the matter level. That same 15 GB matter runs about $900 all-in on DecoverAI. On an enterprise platform it is closer to $3,000 a month, and that is before AI review is counted separately. For a firm running a handful of matters a year, that gap is the difference between keeping discovery in-house and sending it out, and it is margin you keep on every case you win.
Discovery runs on the most sensitive material a firm holds: privileged communications, client confidences, work product. That sets two hard requirements, and this is where DecoverAI’s architecture matters most.
Your data can stay in your own infrastructure. Everlaw, DISCO, and Logikcull run only on the vendor’s cloud, and Relativity is heading the same way, deprecating its on-premise server in favor of the RelativityOne cloud. DecoverAI treats self-hosting as a first-class option, so privileged material can stay inside your building and never pass to a third-party cloud you do not control.
Your data is never used for training. DecoverAI does not train its models on your documents. Sending a client’s files to a general-purpose AI service means trusting someone else’s data policy. Here there is nothing to trust: the data is yours, it stays yours, and it trains nothing.
On top of that, DecoverAI is SOC 2 Type II certified and HIPAA compliant. For a firm weighing whether to make an AI platform the shared brain for its most sensitive work, that is the difference between a convenience and a liability.
There is a governance dividend, too. Every vendor a firm adds is another copy of privileged data in another cloud and another audit trail to reconcile. Consolidating the file system and the review database into one platform is one less place for data to leak and one less system to account for when a client or a regulator asks where their information lives.
Scroll the table sideways to compare →
| Criterion | DecoverAI | Relativity | Everlaw | DISCO | Logikcull |
|---|---|---|---|---|---|
| Architecture | AI-native, LLM core | Review database, AI (aiR) added 2023 | Review database, AI added 2023 | Review database, Cecilia AI added 2024 | Self-service review, AI added by Reveal 2026 |
| Scope | File system + document review database | Review database | Review database | Review database | Self-service review |
| Pricing | Published $60/GB/month, all-in, no minimum | Quote-based, enterprise, minimums | Usage-based, from ~$2,000/mo | All-in per-GB, quote-based | Published, from ~$250/mo plus per-GB |
| Review model | AI-first pass, humans validate | Human-review-first by default, AI-assisted | Human-review-first by default, AI-assisted | Human-review-first by default, AI-assisted | Human-review-first by default, AI-assisted |
| Deployment | Cloud or self-hosted in your own infrastructure | Cloud, on-premise deprecating | Cloud SaaS | Cloud SaaS | Cloud SaaS |
| Best fit | Mid-sized firms and in-house legal teams wanting AI-native review, a published price, and data control | Large-volume enterprise matters | Mid-size firms wanting narrative and trial tools | Complex litigation at scale | Small firms, straightforward matters, tight budgets |
The flat $60/GB/month rate, all-in with no seat fees, credits, or contract, includes:
You are not alone in the tool, either. DecoverAI offers Sherpa support: a senior expert in the trenches with you, at $150 an hour. That is the rate you would pay a contract reviewer, except the person on the other end knows the platform and the protocol cold, so a lean firm gets senior hands on a matter exactly when it needs them without carrying the headcount year-round.
RelativityOne is the platform large firms and service providers standardize on, and it is genuinely powerful: enormous volumes, deep analytics, technology-assisted review, and a wide ecosystem of partners. It is also a review database from a previous era of legal technology, with generative AI (the aiR suite) added on top of a foundation built before large language models existed.
For a mid-sized firm, that power is mostly overhead, and the price is the wall. aiR is genuinely capable, but Relativity’s pricing is quote-based and enterprise-scale, commonly reported in the tens of thousands of dollars a year, which puts it out of reach for most mid-sized firms before AI is even part of the conversation. It is the standard for the largest, most complex matters, and a costly way to run everything else.
Everlaw spans early case assessment through review, production, and trial prep, and it is known for a polished, approachable interface and strong support. Its StoryBuilder module is a genuine strength for teams that build a case as a narrative, and its AI Assistant adds generative coding suggestions and review help, layered onto an existing review platform.
Where it costs you is predictability. Pricing is usage-based, often from around $2,000 a month, and batch AI is metered in credits rather than included, so the bill moves with the matter. Strong review and trial tooling, but a cloud review database underneath, not a system that also holds and organizes your files.
DISCO (NYSE: LAW) is the most aggressive AI-first bet in the category. It has been cloud-native since 2013, and its Cecilia suite is real generative AI. Cecilia Auto Review runs first-pass review from plain-language tag descriptions, explains each call, and moves at 25,000 to 32,000 documents an hour. In early 2026 DISCO moved to all-inclusive per-GB pricing with unlimited AI and no seat fees. On capability, it is a serious platform.
So the honest comparison is narrow, and it turns on two things DISCO does not offer. DecoverAI publishes its rate, $60/GB/month with no minimum, while DISCO’s is quote-based. And DISCO runs on the vendor’s cloud, while DecoverAI can run inside your own infrastructure so privileged data never leaves your building. If a price you can see and data that stays in-house are what decide it, that is where DecoverAI separates from the most capable of the other platforms.
Logikcull built its name on the opposite of enterprise e-discovery: self-service, transparent pricing from around $250 a month, and a court-ready production a small team can run on its own. For low-volume, straightforward matters that is a real and affordable option, and an honest comparison says so.
The line to DecoverAI is the AI and the ownership. Logikcull was a culling-and-search tool whose generative AI is arriving now, added by Reveal, which bought it in 2023 and runs it as the self-service track beside its enterprise platform. DecoverAI was built around the AI from day one, is independent and founder-led, and can run in your own infrastructure rather than Logikcull’s multi-tenant cloud.
Strip the labels away and the field sorts cleanly: capable review databases, most with AI added on, all of them running on someone else’s cloud. DecoverAI is the one that is also your file system and your AI core, on a published rate, inside your own walls if you want it there. For a mid-sized firm choosing where its next matter lives, that is the decision.
What are the best e-discovery platforms for mid-sized litigation firms?
The most widely used are DecoverAI, Relativity, Everlaw, DISCO, and Logikcull. Relativity fits large enterprise matters, Everlaw fits mid-size firms wanting narrative and trial tools, DISCO is a strong cloud-native option for complex litigation, and Logikcull is a budget self-service tool for small matters. DecoverAI is the AI-native system that unifies file management, review, and production, publishes a flat $60/GB/month rate, and can run inside your own infrastructure.
Is DecoverAI’s AI actually different from the other platforms’ AI?
The technology overlaps, but the architecture differs. Relativity, Everlaw, DISCO, and Logikcull added generative AI to platforms originally built for keyword search and human-led review. DecoverAI was designed around large language model classification as the core workflow, and it runs a document system and a review database on top of that core rather than bolting AI onto one of them.
Does DecoverAI replace our document management system, or only our review tool?
Both. DecoverAI is a file system and a review database in one. Your matter’s files live in it, organized into folders with role-based access and pulled from Clio, iManage, SharePoint, Google Drive, Dropbox, and Gmail, while the same system runs responsiveness and privilege review, early case assessment, and production. Firms usually split that work between a document store like SharePoint or Google Drive and a separate review platform; DecoverAI unifies it so a matter lives in one place.
How much do e-discovery platforms cost in 2026?
Pricing varies widely. Relativity is enterprise-priced, commonly reported at $20,000 to $100,000 or more per year. Everlaw is usage-based and often starts around $2,000 a month. Logikcull starts near $250 a month plus per-GB charges. DISCO uses all-inclusive per-GB pricing that is quote-based. DecoverAI publishes a flat $60/GB/month, all-in, so a 15 GB matter runs about $900.
How much does AI document review cost per document?
DecoverAI runs AI document review as low as 2 cents per document, with AI included and no credits. On platforms that meter AI, per-document review can reach up to 40 cents once token-based document inflation and any service-provider markup are counted.
How does DecoverAI compare to DISCO?
Both offer cloud-capable, generative-AI document review, and DISCO’s Cecilia suite is genuinely strong. DecoverAI publishes a flat $60/GB/month rate with no minimum while DISCO’s rate is quote-based, DecoverAI can run inside your own infrastructure while DISCO runs on the vendor’s cloud, and DecoverAI unifies file management, review, and AI in one system rather than a review database with case tools around it.
How does DecoverAI compare to Logikcull?
Logikcull is a low-cost, self-service tool for small, straightforward matters, now owned by Reveal, with generative AI being added by Reveal. DecoverAI was built AI-native from the start, is independent and founder-led, unifies file management and review, and can run inside your own infrastructure. Logikcull is inexpensive for small, straightforward matters; DecoverAI is the fit for firms that want AI-native review and data control.
Do Relativity, Everlaw, DISCO, and Logikcull have generative AI?
Yes. Relativity has its aiR suite, Everlaw has AI Assistant with Coding Suggestions, DISCO has the Cecilia suite including Cecilia Auto Review, and Logikcull is gaining generative AI through Reveal. The difference with DecoverAI is architectural, not the presence of AI: on those platforms the AI is a feature on a review database, while on DecoverAI it is the core the whole system runs on.
Does DecoverAI train on my data?
No. DecoverAI never uses your documents to train its models. Your data stays yours and trains nothing.
Can DecoverAI run on our own infrastructure?
Yes. DecoverAI treats self-hosting as a first-class option, so your data can stay in your building, alongside SOC 2 Type II certification and HIPAA compliance. Everlaw, DISCO, and Logikcull run only on the vendor’s cloud, and Relativity is deprecating its on-premise option in favor of its cloud.
What sources can DecoverAI import from?
DecoverAI pulls files directly from Clio, iManage, Dropbox, Google Drive, Microsoft SharePoint and OneDrive, and Gmail, in addition to uploads from your device, so your documents and your review live in one place.
Is AI-assisted document review defensible in court?
Increasingly, yes, and defensibility comes down to process: a clear review protocol, validation and quality control, and a record of how documents were coded. Tools that provide a rationale for each AI decision make that record more straightforward to produce. Document your workflow the way you would for technology-assisted review.
Can I switch to DecoverAI from another platform?
Yes. DecoverAI imports native files or exports from other platforms, and pulls directly from sources like iManage, Clio, SharePoint, Google Drive, Dropbox, and Gmail. Book a demo and the team gets your first matter running quickly, so you can compare cost and turnaround before you move more work over.
Pricing, packaging, and AI features reflect publicly available information as of early 2026 and change frequently. Competitor pricing figures are third-party reported ranges, and per-document figures reflect rates commonly quoted through e-discovery service providers, which vary with document length and contract terms. Confirm current details with each vendor before making a decision.