Relativity Alternatives: E-Discovery Options by Matter Size

We do not sell, resell or take referral fees from any platform named here. This is software evaluation and industry analysis, not legal advice. Facts about each product come from the vendors' own public pages as of October 2026, and we say so when a page is silent.

Why do teams look past Relativity?

Search for this topic and the results are mostly rating grids, vendor pages and a physics article on alternatives to general relativity. The grids tell you which tools other buyers clicked on. They do not tell you why a team walked away, and the reasons are what sort the options.

Three reasons come up again and again.

Cost on small matters. Relativity sells on a committed data volume, with pay as you go, one-year and three-year options, and no published rate. That works for a team with steady volume. A firm with two or three matters a year has a harder time forecasting it, and for those firms the bill often arrives from a channel partner who sets their own terms. Our Relativity pricing breakdown covers the model in detail.

Administration. A large, configurable platform rewards a dedicated administrator. A team without one feels the weight of every workspace, permission and processing job. Venio Systems, a competitor, argues on its comparison page that Relativity needs a certified administrator for basic tasks. That is a vendor's claim with no independent evidence on the page, but the underlying question is fair: who on your team will run this?

Fit. Some work is not litigation review at all. FOIA responses, internal investigations and compliance reviews have different workflows, and a platform built around them can feel more natural than a litigation platform adapted to them.

One more point on cost. The same Venio page says Relativity charges extra per GB for advanced AI. Relativity's own pricing page says the opposite for current contracts: Assist, aiR Review, Privilege and Case Strategy come with your committed data volume, with no separate AI licenses or per-user fees. Contracts signed under earlier models may differ, so check your own paper. But do not leave a platform to escape an AI surcharge you may not actually pay.

Which alternative fits your matter? A decision tree

Answer three questions in order: what kind of data work you do, how much administration your team can own, and how matter size and volume behave over a year.

Question 1. Is most of your work investigations, FOIA, public records or government?

• Yes: look at Casepoint first. Its site describes one platform for eDiscovery, FOIA and public records, investigations, legal hold and compliance, with markets that include federal civilian, federal defense, state and local government.
• No: go to question 2.

Question 2. Do you have a dedicated e-discovery administrator or a service provider running the platform for you?

• Yes, and your matters are large or recurring: you may be fine staying on Relativity, or moving to Everlaw or DISCO, both cloud platforms built for review-heavy litigation. See our Everlaw vs DISCO comparison.
• No: go to question 3.

Question 3. How predictable is your volume?

• Lumpy or small, with a few attorneys who need access: Nextpoint sells per-user pricing with unlimited data and no hosting charges, so a matter that keeps growing does not change the bill.
• In-house team handling subpoenas, holds and occasional litigation without outside help: Reveal, which describes Logikcull as a platform to run e-discovery in-house and offers other modules (Brainspace analytics, Reveal Hold, Onna collection) when needs expand.
• Steady mid-size litigation volume and you want a lighter platform than Relativity: Everlaw or DISCO.

If this describes you	Start with	Why it fits	What to verify
Government, FOIA, investigations	Casepoint	Built for public records and audits, lists FedRAMP and DoD authorizations	Which authorization your agency needs and how it is scoped
Small firm, unpredictable data volume	Nextpoint	Per-user pricing with unlimited data	The per-user rate and plan tier you actually need
In-house team, no e-discovery staff	Reveal	Self-service tooling inherited from Logikcull	Which modules are in your quote
Mid-size litigation, wants less configuration	Everlaw or DISCO	Cloud-native, one vendor relationship	How hosting and AI are metered
Large recurring matters with an admin	Relativity aiR	Deepest ecosystem of partners and apps	Peak-day billing and storage tiers

The tree is a starting filter. It does not replace a pilot on one of your own closed matters.

Which platforms suit small and mid-size matters?

Nextpoint is the clearest answer for cost-sensitive teams, because its model is different, not just cheaper. Its pricing page describes simple per-user pricing and says there is "Unlimited data, no hosting charges, no surprise costs," with unlimited cases and free data hosting. Storage, OCR, deduplication and productions are not billed separately. It has three tiers: Essential covers core e-discovery, redaction, production and deposition and trial tools; Advanced adds discovery analytics, review templates and auto-redactions; Apex is a custom enterprise plan. The page lists no dollar figures, so you will still need a quote, and it does not mention a free trial, only a demo.

Everlaw and DISCO are the cloud-native pair most mid-size teams compare. Neither publishes a platform rate. Everlaw offers a broad toolset from ingestion through deposition work. DISCO leans on a simpler bill and a managed relationship. We walk through both in Everlaw pricing and DISCO pricing.

Reveal is worth a look for teams that want to run matters themselves. Its site positions Logikcull as a way to run e-discovery in-house and covers the path from collection through review, plus a Private Deployment option described as the full platform "hosted however and wherever you want." Its page gives no price list, so ask which modules are in your quote.

DecoverAI is a newer entry in our directory. Its site states usage-based pricing of 2 cents per document for review and $60 per GB per month for hosting, per our directory listing, with access starting from a booked demo. It is the only platform here with stated rates, and also the one whose pricing logic is closest to metering each document.

For small firms deciding whether they need a platform at all, our guide to AI for small law firms covers when a service provider is the better choice.

Which fit investigations and government work?

Casepoint is the specialist. Its site describes one environment for eDiscovery, FOIA, investigations, legal hold and compliance, with products named eCASE Investigations and eCASE Audit for government and Casepoint Investigator for corporate teams. On AI, it lists IQ Assist (AI search, FOIA request writing help, summaries), IQ Agents for multistep evidence work, and CaseAssist, which uses active learning to prioritize review. On security, it lists FedRAMP Moderate and High authorizations, ISO 27001 and DoD Impact Level 5 and 6 authorizations.

Those are the company's own statements, and the page gives no customer counts or savings figures, so treat them as claims to confirm. If your agency needs a specific authorization, ask for the current letter or listing, not the badge on a homepage.

Reveal also names investigations, subpoena response and FOIA among its use cases, so it overlaps with Casepoint in corporate settings. The difference is audience: Casepoint leads with public-sector and audit work, Reveal with corporate legal teams and service providers.

How do pricing models differ?

The headline price is rarely the useful comparison. The unit being counted is.

Platform	Unit that drives the bill	Published rate?
Relativity aiR	Committed data volume (tiers, peak day), AI included	No, on request
Nextpoint	Users, with unlimited data	No dollar figures, quote on request
DecoverAI	Documents reviewed plus GB hosted per month	Yes, per its site
Everlaw	Data hosted, with AI partly included and partly credit-metered	No, on request
DISCO	Per-GB on processed data, AI use included, Auto Review charged separately	No, on request
Reveal, Casepoint	Not stated on their sites	No, on request

The practical test is to price the same matter on each model. Take one closed matter, note how many people touched it, how much data it held, and how many months it stayed live. A per-user model punishes a big review team on a small dataset. A per-GB model punishes a large dataset that sat idle. A per-document model punishes heavy iteration. Whichever unit grows fastest in your work is the one you want to avoid paying by.

Our legal AI pricing guide explains why most vendors in this market quote on request.

What does migrating off Relativity involve?

Moving a live matter between platforms is harder than starting the next one on a new platform, so most teams do the latter. A sensible plan looks like this.

1. Start with new matters. Leave active workspaces where they are and send new work to the new platform. This avoids rebuilding coding history.
2. Map what you would carry over. The EDRM model lists the stages from identification through disposition. Decide which stages the new platform handles and where you still need other tools, such as collection or legal hold.
3. Ask about export and data return. Before signing, ask the new vendor what formats they ingest (load files, native files) and ask your current vendor how closed workspaces are exported or archived.
4. Check how you are billed today. Relativity's documentation describes review, repository and cold storage tiers, and a peak-day measure. Archive or delete closed data before you leave so the final invoices are not inflated by data you no longer use.
5. Pilot on one closed matter. Run it end to end, from upload to production, and time how much admin work your team does.
6. Check who owns your vendor. Relativity acquired Gavel in June 2026 and Text IQ in 2021, and platform ownership shifts. Our acquisitions tracker logs these moves across the market.

You can see every platform in our directory, with verified listings and no ranking influence from paid placement, in the e-discovery category. For a wider view of the field, including where Relativity is the right answer, read our AI e-discovery software comparison.

FAQ

What is the best alternative to Relativity?

There is no single best. For small and mid-size matters, Everlaw, DISCO, Nextpoint and Reveal are the usual candidates. For government and investigations, Casepoint is the specialist. Pick by the reason you are leaving, then pilot on one of your own matters.

Is Everlaw a Relativity alternative?

Yes. Everlaw is a cloud-native review platform that competes directly with Relativity for litigation teams. It is typically weighed against DISCO as well. Neither publishes a platform rate, so compare quotes on the same sample matter.

Is there e-discovery software with unlimited data pricing?

Nextpoint says it offers per-user pricing with unlimited data, no hosting charges and unlimited cases. Its page lists no dollar figures, so request a quote and confirm which plan tier includes the features you need.

Do small firms need Relativity?

Usually not. Relativity's model suits steady, high-volume work, and small firms often reach it through a channel partner. Lighter platforms or a service provider are frequently a better fit for a handful of matters a year, and you should weigh the admin time your team can actually spare.