In litigation, e-discovery is where the money and the risk concentrate. Sorting millions of emails, documents and chat messages to find the handful that matter is the most expensive phase of many cases, and the software that does it is a serious purchase. In 2026, the ground under that purchase shifted.
In early 2026, Relativity began including its generative-AI review and privilege tools in the standard RelativityOne package at no extra charge, Everlaw made key AI Assistant features free, and DISCO bundled its Cecilia AI, depositions and timelines into one all-inclusive platform. The generative AI that used to be a costly add-on became table stakes.
This guide explains what that means for buyers, ranks the leading platforms by the kind of case and firm they suit, and demystifies the pricing model that trips up first-time buyers: e-discovery is not sold per user, it is sold by the gigabyte. Product facts and the 2026 AI announcements are sourced and linked at the foot of the page.
Key takeaways
- Relativity (RelativityOne) is the market-share leader and the standard for the largest firms and most complex litigation. Everlaw has the momentum and the best balance of power and usability.
- For self-service and smaller matters: Logikcull and Nextpoint let a team start review in minutes without a certified administrator.
- The 2026 shift: generative AI for review and privilege is now included at no extra charge on the leading platforms, which lowers the barrier to using it but does not remove the need to verify results.
- E-discovery is priced mainly by data volume (per gigabyte), not per user, so the cost driver is how much data your case holds.
The 2026 story: generative AI, now included
For a decade, the frontier of e-discovery was technology-assisted review (TAR), machine learning that predicts which documents are relevant. In 2024 and 2025 that frontier moved to generative AI, which can summarise documents, draft privilege logs and answer questions across an entire dataset. In 2026 it moved again, this time on price.
As reported across the industry, Relativity folded its aiR for Review and aiR for Privilege tools into the standard RelativityOne package, and Everlaw made single-use AI Assistant features free. In February 2026, DISCO launched an all-inclusive platform that combines e-discovery, its Cecilia AI assistant, deposition management and timelines at no additional charge. The effect is to level the playing field: advanced AI is no longer only for firms that can pay a premium. The catch is unchanged from every other corner of legal AI, a human must still verify what the machine produces.
How to choose e-discovery software
Five questions shape the decision.
- Case size and data volume: a two-party dispute with 50,000 documents is a different problem from a multinational investigation with tens of millions. Volume drives both the tool and the cost.
- Self-service or supported: platforms such as Logikcull and Nextpoint are built for teams to run themselves; Relativity is powerful but typically needs certified administrators or a hosting partner.
- Cloud versus on-premise: most modern e-discovery is cloud-based (RelativityOne, Everlaw, DISCO), which matters for security review and speed of setup.
- AI and analytics: TAR and generative AI can cut review costs dramatically, but test how well they perform on your data and how the results are defensible in court.
- Pricing model: understand exactly how data volume, processing and hosting are billed before you commit, because this is where budgets blow up.
| Platform | Segment | Best for |
|---|---|---|
| Relativity (RelativityOne) | Enterprise / large firms | The industry standard for complex litigation |
| Everlaw | Mid-market to enterprise | Best balance of power and usability |
| DISCO | Mid-market to enterprise | All-inclusive cloud review with AI |
| Reveal | Enterprise | AI-first review at scale |
| Logikcull | Small firms / self-service | Fast, drag-and-drop discovery |
| Nextpoint | Small to mid-market | Cloud litigation and review on a budget |
| Exterro | Enterprise / corporate | Governance, privacy and e-discovery suite |
| Nuix / OpenText | Enterprise / investigations | Heavy data processing and forensics |
| Casepoint | Government / enterprise | Secure large-scale review |
The leading e-discovery platforms
Relativity and Everlaw
Relativity, through its cloud platform RelativityOne, is the market-share leader and the default for the world's largest firms and most complex matters. Its aiR suite spans AI review, privilege log generation and case strategy, and it has led AI innovation in the field for over a decade. The trade-off is cost and complexity: it usually requires certified administrators or a hosting partner. Everlaw is the momentum player, built for large-scale litigation, able to process up to a million documents an hour, and widely praised for the usability of its review and its Storybuilder case-building tools.
DISCO, Reveal, Logikcull and Nextpoint
DISCO is a cloud platform built around AI-powered review and its Cecilia assistant, now offered as an all-inclusive package. Reveal is an AI-first enterprise platform that has consolidated several tools, including Logikcull, under one roof. Logikcull remains the byword for simple, self-service discovery with drag-and-drop uploads, and Nextpoint offers cloud litigation and review aimed at smaller teams and budgets.
Enterprise and investigations: Exterro, Nuix, OpenText and Casepoint
For corporate governance, data privacy and investigations, Exterro offers a broad suite, Nuix and OpenText bring heavy-duty processing and digital forensics, and Casepoint is a common choice for government and other security-sensitive, large-scale review.
Newer and specialist tools worth watching
Around these leaders sits a field of newer and specialist platforms competing on price, ease of use or a particular data type, from lightweight review tools to processing engines. For a small firm or a one-off matter, a self-service or specialist tool can handle the job at a fraction of enterprise cost. Trial on a representative slice of your actual data before committing.
What it costs: the per-gigabyte model
The most important thing to understand about e-discovery pricing is that it is fundamentally different from other legal software.
E-discovery is priced mainly by data volume, the number of gigabytes you process and host, rather than by the number of users. A large case with a lot of data can cost far more than a small case with many lawyers.
Self-service platforms such as Logikcull and Nextpoint offer more predictable, often flatter pricing that suits smaller matters. Enterprise platforms bill by volume and frequently involve a hosting partner. Before a matter starts, estimate your data volume, ask exactly how processing, hosting and productions are charged, and use analytics and AI to cull irrelevant data early, because every gigabyte you can defensibly remove is money saved.
AI and TAR: from predictive coding to generative review
Technology-assisted review has been accepted by courts for years and remains the workhorse for culling large datasets. Generative AI now sits on top of it, summarising documents, drafting privilege logs and surfacing key facts. As the American Bar Association has documented, these tools are evolving fast and can cut review time significantly. The professional obligation is unchanged: the results must be validated, and the process must be defensible if challenged. AI changes how quickly you get to the important documents, not the duty to stand behind them.
Frequently asked questions
What is the best e-discovery software?
Relativity (RelativityOne) is the market leader and the standard for large firms and complex litigation, while Everlaw is widely regarded as offering the best balance of power and usability. For smaller, self-service matters, Logikcull and Nextpoint are strong choices. The best fit depends on case size and budget.
How is e-discovery software priced?
Mostly by data volume, the number of gigabytes processed and hosted, rather than per user. That means the cost driver is how much data your case holds, so culling irrelevant data early with analytics and AI directly reduces the bill.
Is generative AI reliable for document review?
Generative AI can dramatically speed up review and is now included on leading platforms, but it must be validated. Technology-assisted review is well accepted by courts; generative AI outputs still require human verification and a defensible process.
What is the difference between Relativity and Everlaw?
Relativity has the larger market share and is the standard for the biggest, most complex matters, but often needs certified administrators. Everlaw is cloud-native with a strong reputation for usability and speed, and is frequently preferred by mid-size teams.
The bottom line
Choose by case size and who will run the platform, understand the per-gigabyte pricing before you start, and use AI to cull early. Relativity and Everlaw lead at the top; Logikcull and Nextpoint serve smaller matters well. For related reading, see our guides to the best AI tools for lawyers and the best legal practice management software, our free legal tools, and current litigation and e-discovery jobs on LegalAlphabet.
Sources and further reading
- ILS, Relativity and Everlaw's free generative-AI announcements (2026).
- Relativity, the aiR AI suite.
- ABA Journal, from automation to generative AI in e-discovery.
Last reviewed July 2026. E-discovery pricing, ownership and AI features change quickly; confirm current details with each vendor before buying.