A litigation hold covering a few hundred gigabytes of email used to mean weeks of a review team clicking through documents one at a time. eDiscovery software collects, processes, and reviews electronic evidence at a scale no manual process can match, and AI has taken over a growing share of the first-pass review work entirely.
Pricing models here vary more than almost any category we've researched — some platforms bill by data volume, others by seat, and a couple now bundle AI usage in at no extra charge specifically to compete on that basis. Two platforms, RelativityOne and Casepoint, have also shipped official MCP servers this year, letting AI assistants handle real administrative and investigative work directly inside the platform.
We researched and verified seven eDiscovery platforms directly against their own sites and recent product announcements. Here's what held up.
Quick take: RelativityOne and Casepoint both have confirmed official MCP servers. DISCO stands out differently — unlimited Cecilia AI usage is included in its per-GB pricing with no separate AI surcharge, unusual in a category where AI often costs extra.
Why You Need eDiscovery Software
- Review at a scale manual work can't match. AI-assisted review can process tens of thousands of documents an hour, a volume that would take a human review team weeks to get through.
- Defend your process in court. Explainable AI decisions with citations and audit trails hold up under a defensibility challenge in a way an unexplained black-box result never will.
- Cut outside counsel spend. AI-driven early case assessment narrows a data set before it ever reaches an expensive outside law firm's hourly billing.
- Find privileged material before it leaks. Automated privilege detection catches protected material a rushed manual review might miss under deadline pressure.
- Preserve evidence the moment a hold triggers. One-click legal hold and custodian notification stop spoliation risk from the first hour of a matter, not after someone remembers to send the notice.
Best 7 eDiscovery Software in 2026
1. RelativityOne
RelativityOne is still the platform most large firms and corporate legal departments think of first, and its new official MCP server takes that further, letting Claude handle workspace setup and access management through plain conversation while RelativityOne stays the system of record.
Pricing: Consumption-based across Pay-As-You-Go, 1-Year Flex Commit (up to 25% off), and 3-Year Flex Commit plans, generally ranging $500–$25,000/month by data volume and scale.
Top features:
- Official RelativityOne MCP for Claude
- aiR for Review, included at no extra platform cost
- aiR for Privilege automated detection
- Consumption-based volume pricing
- Full audit logging of AI-assisted actions
- Extensive third-party integration ecosystem
Pros:
- Confirmed official MCP with direct Claude integration
- aiR Review and Privilege included at no extra platform charge
- Flexible consumption-based pricing tiers
Cons:
- Per-document aiR usage costs can escalate on long documents
- Enterprise-scale pricing still substantial at the high end
AI/MCP Integration: Confirmed official support. RelativityOne's MCP integrates with Claude.ai, Claude Cowork, and Claude Code, handling matter setup, workspace configuration, and access management through natural language while preserving full audit-log attribution, alongside its aiR for Review and aiR for Privilege generative AI tools.
API Integration: Yes — RelativityOne supports extensive third-party integrations and API access as part of its enterprise platform.
Best for: large firms and enterprises that want confirmed MCP support and included AI review tools.
2. Everlaw
Everlaw markets itself as the modern, cleaner-UX alternative to Relativity, and its unlimited-reviewer-seat pricing model can meaningfully undercut per-seat competitors on review-heavy matters.
Pricing: Base platform fee $2,000–$5,000/month plus $18–$35/GB/month for hosting; a 500GB, 6-month matter with 20 reviewers is estimated at $66,000–$155,000 total.
Top features:
- Predictive coding and AI-assisted review
- Storybuilder visual relationship mapping
- Unlimited reviewer seats typically included
- Concept search and boolean keyword search
- FedRAMP Moderate authorization available
- SOC 2 Type II compliance
Pros:
- Unlimited reviewer seats can meaningfully cut per-seat cost
- FedRAMP Moderate available for government contractors
- Cleaner, more modern interface than legacy platforms
Cons:
- No confirmed MCP server
- Advanced analytics and API access negotiated separately
AI/MCP Integration: Everlaw includes predictive coding and AI-assisted review in its core platform, with advanced analytics and clustering available as a negotiable add-on; no official MCP (Model Context Protocol) server was found on Everlaw's site at the time of this review.
API Integration: Everlaw supports API access and custom workflows, though this is typically negotiated as part of an enterprise agreement rather than a fully open self-serve developer portal.
Best for: review-heavy matters where unlimited reviewer seats materially reduce cost.
3. DISCO
DISCO bundles unlimited Cecilia AI usage directly into its per-GB pricing, a genuinely different bet than competitors who charge for AI review on top of data hosting.
Pricing: Per-GB data volume billing with no additional charge for unlimited Cecilia AI use; Auto Review is priced separately per document.
Top features:
- Cecilia AI for Q&A, summaries, and timelines
- Auto Review processing up to 32k docs/hour
- Deposition transcript review with annotations
- Legal hold and subpoena request automation
- Auto-generated case timelines
- Developer API for system integration
Pros:
- Unlimited AI usage with no separate surcharge
- Auto Review claims above-human accuracy at high throughput
- Legal hold and request tools bundled at no extra cost
Cons:
- No confirmed MCP server
- Auto Review priced separately from base per-GB rate
AI/MCP Integration: DISCO includes unlimited Cecilia AI usage in its per-GB pricing at no additional charge, plus a separately priced Auto Review tool claiming 10-20% above-industry-average accuracy; no official MCP (Model Context Protocol) server was found on DISCO's site at the time of this review.
API Integration: Yes — DISCO offers a developer API for system integration, alongside self-service and managed support options.
Best for: teams that want unlimited AI review usage bundled into predictable per-GB pricing.
4. Reveal
Reveal, built on the Logikcull platform, leans into self-service and privacy — its AI Pledge commits that customer data never trains external models, a meaningful differentiator for privacy-conscious legal teams.
Pricing: Flat-rate model plus a newer pay-as-you-go option; specific rates not publicly disclosed.
Top features:
- ASK generative AI natural-language search
- Onna integration for Slack, Teams, Zoom collection
- European cloud hosting for GDPR compliance
- AI Pledge protecting customer data from model training
- Flat-rate or pay-as-you-go pricing options
- Self-service discovery workflow
Pros:
- Strong data-privacy commitment via its AI Pledge
- Deep native collection integration through Onna
- Flexible pricing structures for varying budgets
Cons:
- No confirmed MCP or public API documentation found
- Specific pricing rates not disclosed anywhere
AI/MCP Integration: Reveal's ASK tool lets users query case data in plain English with sourced narrative answers, backed by a public AI Pledge that customer data never trains external models; no official MCP (Model Context Protocol) server was found on Reveal's site at the time of this review.
API Integration: No public API documentation was located on Reveal's marketing pages in this review; integration is primarily handled through named connectors like Onna.
Best for: privacy-conscious teams that want self-service discovery without a full enterprise deployment.
5. Exterro
Exterro's ARMOUR framework is one of the more action-oriented AI tools we found in this entire research process — it's built to translate a natural-language request into actual forensic action on live endpoints, not just answer a question about them.
Pricing: Not publicly disclosed; custom enterprise quote.
Top features:
- ARMOUR autonomous AI forensic framework
- AI-driven Early Case Assessment
- Unified Legal GRC platform (privacy + forensics + eDiscovery)
- Cloud and SaaS data connectors
- Digital investigations tooling
- Cybersecurity response integration
Pros:
- Genuinely action-taking AI, not just conversational
- Unified platform reduces privacy/forensics/eDiscovery tool sprawl
- AI-driven ECA cuts costly outside-counsel review volume
Cons:
- No confirmed MCP server
- Pricing entirely opaque
AI/MCP Integration: Exterro's ARMOUR framework translates natural-language queries into controlled forensic action across live endpoints, a genuinely action-oriented AI design, alongside AI-driven Early Case Assessment; no official MCP (Model Context Protocol) server was found on Exterro's site at the time of this review.
API Integration: Exterro references Cloud & SaaS Connectors for integration, though detailed public API documentation wasn't located in this review.
Best for: organizations that want unified privacy, forensics, and eDiscovery workflows in one platform.
6. Casepoint
Casepoint's official MCP Server, launched in July 2026, is scoped specifically for legal and compliance work — spanning eDiscovery, legal hold, investigations, and FOIA in one connected AI integration layer.
Pricing: Not publicly disclosed; enterprise/platform-based custom quote.
Top features:
- Official MCP Server for eDiscovery and compliance
- Casepoint Investigator AI pattern detection
- Communication network visualization
- Timeline analytics for spikes and anomalies
- Multi-language document support
- FOIA and government investigation workflows
Pros:
- Confirmed official MCP server spanning multiple workflow types
- Genuinely differentiated investigator tooling
- Permission-preserving AI governance built into MCP design
Cons:
- Pricing entirely opaque
- No separate public REST API found beyond the MCP layer
AI/MCP Integration: Confirmed official support. Casepoint's MCP Server, launched July 30, 2026, connects external AI models and agents to eDiscovery, legal hold, investigations, and FOIA workflows while preserving each authenticated user's existing permission level.
API Integration: Casepoint's primary AI integration path is now its MCP Server; a separate public REST API wasn't confirmed on its marketing pages in this review.
Best for: government, investigations, and FOIA-heavy legal teams that want MCP-based AI governance.
7. Nuix
Nuix built its Cognitive AI around explainability from the ground up, on the theory that an AI review decision only matters if a reviewer, and eventually a judge, can actually understand why it was made.
Pricing: Not publicly disclosed; custom enterprise quote.
Top features:
- Cognitive AI (CogAI) with 500+ tuned models
- Generative AI review with citations
- Semantic search across 1,000+ file types
- Automated PII redaction
- Native Microsoft 365 connectors
- 40-60% claimed review volume reduction
Pros:
- Explainability-first AI design built for courtroom defensibility
- Broadest file-type semantic search coverage reviewed
- Significant claimed reduction in review volume
Cons:
- No confirmed MCP server
- Pricing entirely opaque
AI/MCP Integration: Nuix's Cognitive AI (CogAI) uses over 500 eDiscovery-tuned models with a strong focus on explainable, citation-backed decisions for courtroom defensibility; no official MCP (Model Context Protocol) server was found on Nuix's site at the time of this review.
API Integration: Yes — Nuix integrates through robust APIs and standard integration protocols, including native Microsoft 365 connectors.
Best for: teams that need explainable, courtroom-defensible AI review decisions.
Comparison Table
| Tool | Best For | Starting Price | Standout Feature | AI-MCP Support | API Integration |
|---|---|---|---|---|---|
| RelativityOne | Enterprise, confirmed MCP + included AI | $500–$25,000/mo (volume-based) | aiR Review + Privilege included | Confirmed — official MCP for Claude | Extensive integration ecosystem |
| Everlaw | Review-heavy matters, unlimited seats | $2,000–$5,000/mo + $18–35/GB | Unlimited reviewer seats | No official MCP found | Negotiated API access |
| DISCO | Unlimited AI usage bundled in | Per-GB (AI included) | Cecilia AI, unlimited, no surcharge | No official MCP found | Developer API |
| Reveal | Privacy-conscious, self-service discovery | Flat-rate or pay-as-you-go | AI Pledge (no external model training) | No official MCP found | Not publicly documented |
| Exterro | Unified privacy + forensics + eDiscovery | Custom quote | ARMOUR action-taking AI framework | No official MCP found | Cloud & SaaS connectors |
| Casepoint | Government, investigations, FOIA + MCP | Custom quote | Official MCP Server | Confirmed — official MCP Server | MCP-based, no separate public API |
| Nuix | Explainable, courtroom-defensible AI | Custom quote | CogAI with 500+ tuned models | No official MCP found | Robust APIs + M365 connectors |
Final Thoughts
If MCP-based AI integration is a real requirement, RelativityOne and Casepoint are your two options, and they serve different needs — RelativityOne for broad enterprise litigation with Claude built directly into administration, Casepoint for government, investigations, and FOIA work specifically. DISCO deserves a close look too, purely on the strength of bundling unlimited AI usage into its base pricing rather than charging for it separately.
For cost-conscious review-heavy matters, run the math on Everlaw's unlimited-seat model against a per-seat competitor before assuming the "modern alternative" costs more. And if defensibility in front of a judge matters more than anything else on this list, Nuix's citation-backed, explainable AI is built specifically for that scrutiny.