eDiscovery Software Comparison Chart: 6 Tools for 2027

Short answer for small legal teams

For a small legal business, the most useful ediscovery software comparison chart sorts tools by how they bill, because the billing unit decides what a matter costs once data starts flowing. Ediscovery is the work of collecting, processing, reviewing and producing electronically stored information for a lawsuit or investigation, and each vendor meters that work differently.

TL;DR: start with a self-service tool if your matters are bounded, consider an all-in-one platform if review is recurring, and treat every unpublished price as unknown until a written quote arrives.

Our short answer is to shortlist Logikcull or Nextpoint if you want a per-GB or per-user model you can start with quickly, and DISCO or Everlaw if you want one platform with AI and accept a per-GB hosting line or AI credits. Keep Relativity or Casepoint on the list only if your matters are large or complex enough to justify a committed or tailored contract, and only after you have named who will administer the platform. None of the six official pricing pages we opened shows a dollar figure a small firm can budget from, so this chart can narrow your list but cannot give you a final number.

Key Takeaways

• None of the six official pricing pages we opened shows a dollar figure for a complete deployment, so treat this chart as a shortlist and get written quotes against the same data volume.

• Billing units differ more than features do. Logikcull bills per GB per month with a minimum threshold on pay as you go, DISCO bills a per-GB hosting fee, Nextpoint bills a flat monthly rate per user, and Relativity sells against committed data volume.

• Hosting is the line most likely to surprise a budget: Hosting without analytics: 56% under $10 per GB per month according to ComplexDiscovery (2025).

• AI terms vary. Everlaw meters some AI features as credits, DISCO places Cecilia AI in a single line item, and Relativity includes its aiR tools with committed volume and no per-user AI fees.

• For a small team, the decision usually turns on three things: who administers the tool, who owns legal holds and exports, and whether you can predict the monthly bill.

How we evaluated these tools

We built this chart in one research pass. We opened each vendor's official pricing page, then checked market figures and buyer context against independent sources: a 2025 pricing survey by ComplexDiscovery, a 2026 buyer's guide from Legal Alphabet, and an EDRM report on the Reveal acquisition of Logikcull. We considered seven candidates. Exterro's official pricing page returned a not-found error when we opened it, so we left it out rather than estimate its cost.

We weighted six criteria. The weights are our analysis of what matters to a small legal buyer. They are not survey results and not vendor data.

A tool that scores poorly on billing transparency can still be right for a firm that gets a written quote early. That firm should know it is buying on a quote, not on a published rate.

Feature matrix: what each official page says

The matrix shows what each official page states. A cell that reads "Not described on the pricing page" means the page did not say, not that the feature is absent.

Two rows need a closer read. Logikcull's Corporate Suite adds unlimited legal holds and collection from 31+ sources, while Relativity lists Legal Hold as a separate license. Everlaw points to its own Legal Holds pricing page. If legal hold is part of your work, ask every vendor to price it on the same quote so the totals can be compared.

Pricing and total cost

Pricing checked October 16, 2026. None of the six official pages prints a dollar figure for a plan a small firm would buy, so every price cell below reads "Quote-based." The billing units and included items are what the pages do say, and those are what you should compare inside each quote.

Market context helps you test a quote. Processing at ingestion: nearly 43% under $25 per GB according to ComplexDiscovery (2025). That survey was conducted by ComplexDiscovery in partnership with the EDRM, and it reports self-reported pricing from its respondents, not a vendor rate card. Use it to sanity-check a quote, not to replace one.

The bands below come from the ComplexDiscovery survey cited above. The monthly figures are our multiplication for a 120 GB hosted matter set.

Vendor profiles: best fit and limits

Each profile separates what the vendor's page says from our read of it. Implementation notes name the prerequisites and the human review point.

Logikcull: the clearest self-service starting point

Logikcull pay-as-you-go minimum: 10 GB threshold according to Logikcull (2026).

What the page says: pay as you go is monthly with no commitment, includes unlimited users, projects and downloads, and comes with onboarding and training. The Subscription tier adds Reveal AI fact-finding, audio and video transcription, Slack chat filtering, data archiving and PII detection and redaction.

Our read: this is the best fit for small, bounded matters where you want to start without an implementation project. Ask how the minimum threshold applies to a small matter, because a light docket may not fill it. Logikcull's ownership is also a factor. Reveal acquired Logikcull and IPRO in August 2023, and EDRM reports the transactions as valued at over $1 billion according to EDRM (2023). Ask how the product roadmap and support model are being integrated.

Limitations: the AI and transcription features sit in the Subscription tier, so the cheapest entry plan will not include them. The page's comparison table is hard to read as flattened text, so confirm each tier's feature list in writing.

Implementation: start on pay as you go, run a sample matter, then upload one real matter only after your confidentiality review is complete. Prerequisites are an export or collection of files from your own systems. The human review point is whoever approves each upload that contains client data. The vendor's pricing page is the primary source for these terms.

Nextpoint: flat per-user pricing for small teams

What the page says: the Essential plan is described as "for small teams" and includes unlimited cases and free data hosting, plus upload, processing, search, redaction and production tools. The vendor says "You pay a flat monthly rate per user with no hosting charges and no surprise costs."

Our read: Nextpoint is the simplest budget conversation on this list, because the per-user rate is the whole recurring line. The page also says "Nextpoint never charges users for data storage, OCR, deduplication, or productions," which matters if your data grows faster than your staff.

Limitations: analytics, advanced review and permission reporting sit in the Advanced plan, and the Apex plan is custom. The page does not publish a seat minimum. Confirm which plan includes the permission and activity reporting your supervisors need before you choose Essential.

Implementation: decide who holds the admin role and who approves uploads. Prerequisites are a list of users and an estimate of hosted data. Review point: check the permission settings before any client data is loaded. Evidence: the Nextpoint pricing page.

DISCO: one line item for hosting, processing and AI

What the page says: DISCO describes "No separate fees for ingest, processing, or users," and a hosting fee "based on the size of your processed data." It also says Cecilia AI, depositions and timelines are "priced as one line item." Hosting in Active Review and ECA is covered by the per-GB fee, and duplicate data is not charged at a global family level when deduplication is selected at ingest. Evidence: the DISCO pricing page.

Our read: DISCO is the strongest fit for a team that wants one bill covering ingest, processing, users and AI. The per-GB model is also its main cost driver. Processed data grows with each matter, so ask for the hosting rate in writing against your expected processed-data size.

Limitations: no rate is published, and the bundling of AI, depositions and timelines makes it harder to compare with tools that sell those functions separately. Confirm which features are in the line item and which are optional.

Implementation: give the vendor a processed-data estimate, ask which hosting stage applies to your matters, and confirm the deduplication setting at ingest. The human review point is the person who approves any client-facing pass-through of hosting cost.

Everlaw: review workflows with metered AI

What the page says: Everlaw lists unlimited user licenses and a broad feature set across ingestion, review, productions and AI. Some AI features, including Deep Dive, Machine Translation and Custom Extractions, are marked as credits. Intake Portal, Case Management and Compliance Reporting are marked as add-ons. Evidence: the Everlaw pricing page, which also says "Comprehensive solutions built for teams of every size."

Independent context: Legal Alphabet's 2026 guide describes Everlaw as able to process up to a million documents an hour, according to Legal Alphabet (2026). That is a throughput claim from a third-party guide, so test it on your own data before relying on it.

Our read: Everlaw suits teams that will spend most of their time in review and want unlimited seats. The weak point for a budget is the credit model. The page does not define how credits are consumed.

Limitations: AI costs depend on credit usage, and add-ons change the bill after the base decision is made. Implementation: ask for credit rates for each AI feature, a consumption estimate for a sample matter, and a list of which add-ons your workflow needs.

Relativity: the enterprise reference with committed volume

What the page says: "Relativity aiR pricing allows you to pay as you go, or lock in savings with a one- or three-year commitment," according to Relativity. The page lists "no separate AI licenses and no per-user fees," with Data Breach Response, Translate, FOIA and Legal Hold licensed separately.

Our read: Relativity is the right reference point for complex matters and for teams with an administrator. Its access model fits organizations that want open APIs and an app marketplace. For a small firm with uneven workload, the commitment is the main risk, because a one- or three-year term can sit idle in a slow year.

Implementation: plan for an administrator and for API work if you intend to connect other systems. Relativity's REST documentation says the Kepler-based REST APIs include the segment /Relativity.REST/api/. Prerequisites are API credentials and a test workspace. The human review point is the person who approves any change to workspace permissions.

Casepoint: tailored terms for large organizations and agencies

What the page says: "We offer tailored pricing across our extensible platform and specialized government products," and "If you don't use a product, you don't pay for it." The page lists the Casepoint Platform, Casepoint eDiscovery and government products such as FOIAXpress, and it directs visitors to a "Contact Us Today" call to action. Evidence: the Casepoint pricing page.

Our read: Casepoint fits large organizations and government-facing work. The pay-for-what-you-use wording is useful, but the product set is wider than a small firm usually needs.

Limitations: no published price or tier exists, so the first conversation will be a scoping call. Government products such as FOIAXpress may not be relevant to a private firm. Implementation: list the products you need before the call, and ask how each module is priced.

A worked example with real billing units

Take an illustrative firm with three matters of 40 GB each, or 120 GB in total, kept hosted for two months. At the benchmark ceiling for hosting without analytics, the hosting line is at most 120 GB × $10 = $1,200 a month, so the two months come to $2,400. If the same data sits in an analytics-enabled band under $15 per GB per month, the monthly ceiling rises to 120 × $15 = $1,800, which adds $600 a month and $1,200 across the two months. These are survey ceilings, not vendor prices, so the firm would ask each vendor whether its quoted rate and its AI credits fall inside the band it expects. If an intake tool later connects to a review platform, the endpoint to ask about is /Relativity.REST/api/, which Relativity's REST documentation lists for its API surface, so matter metadata can be read without a manual export.

Who this is for

• A solo or small firm handling a few litigation matters at a time, which points to Logikcull or Nextpoint first, because both bill in units a small matter can predict.

• An operations lead with budget authority who must bill hosting back to clients, which points to DISCO for one per-GB line or Everlaw for unlimited seats with metered AI.

• A firm with recurring large productions and an administrator already on staff, which points to Relativity, with the commitment term decided before purchase.

• A large or government-facing organization with a tailored requirement, which points to Casepoint.

Red flags: you cannot name who will own legal holds and exports, you expect a published rate card that none of these six pages provides, or your matter volume is uneven enough that a one- or three-year commitment would sit idle.

Where DIY tools and in-house builds fit

The real alternative for many small firms is not a vendor at all. It is stitching intake, file routing and deadline alerts together in Zapier, Make or n8n, or writing a script in-house. Those tools can support run histories, retries, error branches and audit evidence when they are configured, and a careful builder can get a long way with them. The buyer still has to design and own observability, idempotency so a retry never creates a duplicate matter, escalation when a step fails, access controls for client data, and maintenance when an upstream API changes. The trade is a lower license cost in exchange for operations you own.

A proposed design from US Tech Automations would be configurable, not a live deployment for any firm. The trigger is a new matter record in the firm's practice management system. The action runs a conflict check against the party list and sends the result to a named conflicts reviewer. The output is a matter-intake record with the hosting band the responsible attorney expects, and no client data leaves the firm until the reviewer approves. Prerequisites are an export or API access from the practice system and a named human reviewer. The attorney keeps the conflicts decision, and the workflow could be configured to log which record triggered each step. For the conflict-check side of that design, see the legal conflict of interest checks comparison.

A second proposed design targets the billing line that surprises budgets. The trigger is a weekly usage export from the review vendor showing hosted GB per matter. The action compares each matter against the band the firm recorded at purchase and flags any matter above it. The output is a message to the operations lead and a draft bill-back line for the accounting system. Prerequisites are a usage export or API endpoint from the vendor, which you must confirm exists before you buy, and a finance owner who approves bill-back. The review point is a person who checks each flag before any client sees a charge. Teams that keep billing in a separate system can compare the output with the tools in the legal accounting software comparison.

For a workflow-first view of the same problem, see the e-discovery workflow automation comparison. Client-facing productions, where the output is a secure package for the client, belong with the tools covered in the secure client document sharing comparison.

When NOT to use US Tech Automations

Skip a configured workflow when the need is narrow. If you handle one or two matters a year, uploading to Logikcull's pay-as-you-go plan or starting on Nextpoint's Essential plan costs less effort than designing intake logic. If the only problem is a single conflict check, your practice management system's own check is simpler. And if nobody at the firm will review flags or keep credentials current, a workflow becomes an unowned system, and a hosted platform with vendor support is the safer choice. US Tech Automations adds value only where handoffs between intake, hosting and billing happen often enough to justify designing and maintaining them.

Common mistakes when comparing ediscovery tools

• Comparing "starting prices" that the vendor never published. Compare billing units and the assumptions behind each quote instead.

• Pricing only the first month. Hosting recurs for as long as a matter's data stays live, so the second and third months matter as much as the first.

• Ignoring AI credits or add-ons because the base quote looks flat.

• Choosing a commitment term before you have a year of matter volume data.

• Leaving legal hold, export and deletion decisions without a named owner.

• Signing before a test. Upload one real matter, after confidentiality review, and check the export format before the contract is final.

Decision checklist before you request quotes

• A written quote for one stated data volume, in GB, with the hosting unit confirmed.

• The seat count, and whether users are unlimited or priced per user.

• Which AI features sit in the base price and which are credits or add-ons.

• Legal hold and collection: included, licensed separately, or quoted separately.

• Export format, and whether any export charge applies.

• A named administrator, and a named person who approves client uploads.

Frequently asked questions

Which ediscovery software is cheapest for a small firm?

No vendor on the six official pricing pages we opened publishes a dollar figure, so the cheapest tool is the one whose written quote matches your data volume and feature needs. Logikcull is the only one whose page states a minimum threshold on pay as you go, and the other five publish billing units without rates.

Is per-GB hosting or per-user pricing better?

Neither is cheaper by default. Nextpoint says it never charges users for data storage, so its per-user rate carries hosting, while DISCO bills a per-GB hosting fee, so its cost follows the size of your processed data.

Do I need Relativity or Casepoint for a small firm?

Usually not for a bounded docket, because both are sold on committed or tailored terms that make most sense when volume is recurring and an administrator will run the platform.

Can I build this in Zapier, Make or n8n instead?

You can build the simple parts, such as routing and alerts, but you must design and own observability, idempotency, escalation, access controls and maintenance yourself.

Does this chart cover every ediscovery tool?

No. It covers six tools whose official pages we could open in this research pass. We left out Exterro because its pricing page returned a not-found error when we opened it.

What should I ask every vendor for in writing?

Ask for the hosting rate per GB, the seat count, the AI credit or add-on structure, legal hold pricing, export terms and implementation scope, all calculated against the same data volume.

Conclusion

For most small legal teams, the decision is not which tool has the longest feature list. It is which billing unit matches your matter pattern, and which vendor will put a number in writing. Start with Logikcull or Nextpoint if your matters are bounded, DISCO or Everlaw if you want one platform with AI, and Relativity or Casepoint only with an administrator and a clear volume plan. Then request the same quote from each vendor and check the answers against the decision checklist above. If you want to see how US Tech Automations configures this kind of intake, hosting and billing handoff, see how US Tech Automations configures this.