Everlaw vs. DISCO for AI eDiscovery (2026)

Selecting an eDiscovery platform is a critical decision when your firm manages high-volume litigation. The market offers several options, but mid-market and enterprise firms often narrow their choices to two major players. If you have already ruled out entry-tier, self-service tools like those evaluated in our Best AI eDiscovery Platforms for Law Firms (2026) roundup, your decision likely comes down to a direct comparison of these two giants.

This guide provides a focused, research-driven comparison of the two leading enterprise platforms. We analyze how these platforms handle complex, data-heavy litigation, such as class-action suits and multi-custodian disputes. We base this comparison on documented features, pricing structures, and actual capabilities.

The choice between these two platforms is not about finding which tool is absolutely better. Instead, it depends on your specific workflow bottleneck. One system excels at deep document interrogation across massive datasets. The other platform provides superior tools for deposition-heavy matters and multinational litigation.

1. Everlaw - best for finding buried facts across large, single-matter document sets.
2. DISCO - best for deposition-heavy litigation and multinational matters.

What to look for

Evaluating enterprise eDiscovery software requires looking past basic search functions. Both platforms bundle generative AI capabilities into their core offerings, but they apply these tools differently. Here is how we evaluated these systems.

First, consider the depth of cross-document AI analysis. Some tools excel at single-document summaries. Others can query millions of files simultaneously to find patterns. If your main challenge is finding a needle in a haystack of HR files or emails, cross-document natural-language interrogation is critical.

Second, look at deposition and testimony tools. Generative AI can summarize multi-day deposition transcripts and link them to existing document databases. If your litigation involves heavy witness testimony, look for platforms with dedicated tools to build interactive timelines and synthesize transcripts.

Third, analyze the pricing model. Neither vendor publishes public rate cards. This lack of transparency is common in the legal technology industry, as we discuss in our guide on why so many legal AI vendors hide their pricing. Enterprise buyers must navigate varying pricing structures. Some vendors charge per hosted gigabyte, while others use credit-based systems for advanced AI tasks. Understanding these models is essential, and you can learn more about how per-seat, per-matter, and per-gigabyte pricing models actually work in our detailed guide.

Fourth, check international support and corporate stability. Matters with overseas custodians require platforms that comply with regional data regulations. Furthermore, because enterprise implementations represent long-term commitments, the financial stability of the software vendor is a valid procurement concern. Note that neither platform currently has public G2 or Capterra reviews. This is a common pattern for enterprise legal tools, which we explain in our piece on the legal AI review vacuum.

Finally, keep in mind that neither tool is a practice-management or client-intake platform. These programs handle eDiscovery and litigation review only. They will not help you draft initial intake forms or manage firm billing.

At a glance

1. Everlaw: best for finding buried facts across large document sets

Everlaw is a cloud-native platform designed to help litigation teams collaborate on massive datasets. The software excels when you need to interrogate millions of documents in a single matter. Its standout capability is Deep Dive, which allows reviewers to ask natural-language questions across an entire case database. This makes the platform highly effective for systemic investigations or class-action lawsuits where the main bottleneck is discovering hidden facts.

Everlaw includes its core generative AI features, such as Review Assistant, Writing Assistant, and Deposition Analyzer, in its base per-gigabyte hosting rate. This means you do not have to negotiate a separate software license to access basic AI utilities. The vendor reports that this pricing philosophy provides predictable billing with no ingestion fees. However, you should note that large-scale batch actions still require separate credits.

Pros

• Deposition Analyzer AI is included at no extra cost to summarize testimony and flag key admissions across multi-day witness depositions.
• AI Review Assistant is built into the core per-gigabyte rate, providing single-document Q&A and predictive coding suggestions without add-on fees.
• Deep Dive allows natural-language Q&A across millions of files, which is critical for analyzing huge volumes of organizational emails.
• Writing Assistant provides tools for drafting or annotating arguments directly within the review environment.
• Multilingual document translation is included in the platform at no extra charge.
• Strong collaboration tools include shared coding batches, real-time co-review, and automated privilege logs.

Cons

• Per-gigabyte pricing is not publicly listed and requires a custom quote.
• Third-party estimates put typical mid-market costs at $2,000 to $5,000 per month, making it expensive for small firms without large active matters.
• The platform does not handle practice management, client intake, or external case law research.
• Batch AI actions, such as bulk summaries and topic analysis, require separate credits, which can increase costs on high-volume productions.
• There is no confirmed affiliate program for this software.

Price: Everlaw does not publish its rates online. According to third-party estimates, mid-market matters typically cost between $2,000 and $5,000 per month. Some AI features are bundled into this base per-gigabyte rate, but bulk AI operations require separate credits as outlined in the Everlaw practical guide to generative AI costs.

2. DISCO: best for deposition-heavy, multinational litigation

DISCO offers an all-inclusive eDiscovery platform that simplifies the review workflow. The system is designed for litigation teams whose primary bottleneck is deposition-heavy cases or matters involving international custodians. Under its updated platform model, DISCO bundles its generative AI tool, Cecilia AI, alongside its core eDiscovery, deposition management, and timeline software.

The platform is highly regarded for its intuitive user interface. Users frequently report that non-technical reviewers can navigate the system easily, which helps law firms reduce their reliance on expensive vendor-managed review services. In addition, the vendor expanded its platform presence to the EU and UK, making it a stronger fit for multinational matters with complex geographic footprints. However, buyers should note that the parent company, CS DISCO, is publicly traded and has faced financial scrutiny, which may be a factor during vendor risk assessments.

Pros

• Cecilia AI is included in the base per-gigabyte price, covering document summaries, deposition analyses, and cross-matter queries.
• Deposition tools generate comprehensive chronological summaries of witness testimony.
• Cecilia Q&A allows attorneys to ask factual questions across the entire document database to find inconsistencies in witness statements.
• The platform bundles eDiscovery, deposition management, and chronological timeline tools in one environment.
• Expansion into the EU and UK provides support for matters with international custodians.
• The user interface is highly intuitive, allowing non-technical staff to review documents without extensive training.

Cons

• Per-gigabyte pricing is not publicly disclosed, and enterprise licensing typically costs $20,000 to $100,000+ per year.
• The software is built strictly for eDiscovery and does not support administrative practice management or intake.
• The high entry cost makes it difficult to justify for smaller firms that do not routinely handle high-volume discovery.
• The parent company is publicly traded and has faced financial scrutiny, which is a consideration for long-term procurement.
• There is no confirmed affiliate program for this product.

Price: DISCO does not publish its pricing. Under its all-inclusive model, billing is based on the gigabytes of processed data with Cecilia AI features bundled in, according to the DISCO all-inclusive platform announcement. Third-party estimates put enterprise licensing fees at $20,000 to $100,000+ per year.

The bottom line

The choice between these two platforms depends on the structure of your litigation.

If your primary challenge is digging through massive document collections to find hidden facts, Everlaw is the recommended choice. Its Deep Dive capability provides superior natural-language questioning across millions of files. It is best suited for complex investigations and class-action cases.

If your case relies heavily on deposition testimony and cross-border data, DISCO is the stronger option. Its integrated chronological deposition summaries and 2025 expansion into the EU and UK make it ideal for multi-custodian, international matters.

FAQ

Is Everlaw or DISCO cheaper — and why is that hard to answer directly?

It is difficult to compare costs directly because neither company publishes its per-gigabyte rates. Both vendors require custom quotes based on data volume and matter complexity. Everlaw charges based on hosted gigabytes and includes several AI tools in that base rate, but it requires extra credits for batch AI actions. DISCO charges per processed gigabyte with Cecilia AI features fully bundled.

Which tool is better for a class-action matter with millions of documents?

Everlaw is generally better for large-scale class-action matters. Its Deep Dive tool allows you to run natural-language queries across millions of files at once. This makes it easier to find specific facts or systemic patterns in large datasets, such as corporate email servers or HR records.

Which tool is better for a matter with overseas custodians or counsel?

DISCO is the more capable option for international litigation. The vendor expanded its platform services to the EU and UK, as detailed in the Cecilia AI EU and UK expansion report. This infrastructure helps firms manage the unique compliance and hosting requirements of overseas data.

Do either tool's AI features cost extra on top of the per-GB rate?

Both tools bundle their core generative AI features into their base pricing models without separate licensing fees. However, Everlaw charges additional credits for large-scale batch operations, such as bulk summaries or topic extractions. DISCO includes Cecilia AI actions under its all-inclusive processed data fee.

Can a firm migrate an active matter from one platform to the other?

Yes, but migrating an active matter between eDiscovery platforms is complex and expensive. It requires exporting raw data, metadata, and existing coding decisions as load files, then rebuilding the database structure in the new system. Most firms prefer to finish active matters on their current platform before switching vendors for new cases.