Everlaw AI in 2026 -- what it actually does, what it costs, how it compares to Relativity
Updated 21 April 2026 | Independent reference | Not legal advice
Everlaw is the leading challenger to Relativity in the mid-market, and the only platform that consistently outscores Relativity on deposition preparation and motion drafting features. After matching Relativity's October 2025 pricing move, it is now genuinely competitive on cost. Here is what it actually does, and who it is for.
What Everlaw AI is
Everlaw AI is not a bolt-on -- it is integrated into the core platform that has been single-tenant from inception. The AI capabilities ship together with document review, clustering, analytics, and drafting in one workspace.
- EverlawAI Assistant (Single Document Review): LLM-scored document relevance. The attorney writes an issue description; the LLM scores documents and surfaces a confidence-level indicator alongside the document. Since early 2026 this feature is free for subscribers.
- Deposition Analyzer: Everlaw's strongest differentiator. Reviews the document corpus for documents connected to a named witness, surfaces potential impeachment exhibits, and summarises the witness's electronic communications. Not matched by Relativity at general availability as of April 2026.
- Writing Assistant: Draft-level motion and brief assistance drawing on the reviewed document corpus. Drafts are clearly marked as AI-generated and require attorney review before filing. Addresses the ABA 512 candor duty directly by building disclosure into the workflow.
- Document Clustering: Concept-based grouping of the corpus into topic clusters. Useful for ECA and initial case scoping. Competitive with Reveal Brainspace on most commercial litigation document sets.
Pricing (April 2026)
| Component | Cost | Notes |
|---|---|---|
| Base subscription | $250/mo | Entry tier; limited storage |
| Standard reviewer seat | ~$3,000-4,000/user/yr | Active review access |
| Power user / attorney seat | ~$4,000-5,000/user/yr | Full analytics + AI features |
| EverlawAI features | Included (from early 2026) | Previously usage-based add-on |
| Data hosting | Per GB (tiered) | Separate from seats |
Indicative. Last verified April 2026. Confirm with Everlaw.
Head-to-head vs Relativity
| Feature | Relativity aiR | Everlaw AI |
|---|---|---|
| Relevance scoring | aiR for Review (OpenAI-based) | EverlawAI Assistant (proprietary) |
| Privilege detection | aiR for Privilege (strong) | Privilege module (competitive) |
| Deposition prep | aiR for Case Strategy (limited GA) | Deposition Analyzer (GA, strong) |
| Motion drafting | Not available (April 2026) | Writing Assistant (GA) |
| Reasoning trace export | Partial (partner API) | Limited |
| LLM provider | OpenAI (enterprise) | Proprietary (Everlaw-tuned) |
| Pricing model | Per GB | Per user |
| Cloud-only | Yes (RelativityOne only) | Yes (Everlaw is SaaS) |
| Ecosystem size | Large (partner network) | Smaller (fewer integrations) |
Last verified April 2026
Strengths
- Genuinely integrated. AI is not a bolt-on; it is embedded in the same workspace where reviewers code documents. No data movement, no API handoff between systems.
- Deposition Analyzer. The strongest deposition prep AI in the market at general availability. If your firm handles significant deposition-intensive commercial litigation, this alone can justify the platform switch from a competing tool.
- Faster AI shipping cadence. Everlaw has consistently shipped new AI features faster than Relativity, partly because it does not maintain a legacy Server architecture. Writing Assistant and Deposition Analyzer both launched before comparable Relativity features.
- Proprietary LLM. Everlaw-tuned models are trained on legal document patterns and avoid OpenAI-specific vendor restrictions that affect some financial services and government clients.
Weaknesses
- Smaller partner ecosystem. AmLaw 200 firms expect their lit-support vendor (Epiq, Consilio, HaystackID) to staff their Relativity environment. Everlaw's partner network is growing but does not yet match Relativity depth.
- Per-user pricing at scale. At 60 reviewers, per-user costs can exceed Relativity's per-GB model for high-volume matters. See /pricing-models for the 50 TB matter comparison.
- Analytics maturity. Relativity's DataWarehouse-style analytics and production module are more mature for firms managing multi-matter portfolios with complex reporting requirements.
- Reasoning trace export. Like Relativity, Everlaw does not yet offer comprehensive per-document reasoning trace export as a standard feature. The attorney reviewing AI relevance scores cannot currently export the LLM's reasoning in a structured format for court presentation.
Who it is for
Everlaw is the right platform for mid-market AmLaw firms (firms ranked 100-400 by revenue) building or re-building their in-house review capability, boutique litigation shops that handle complex commercial, IP, or securities litigation and need deposition-level AI, and in-house legal operations at high-growth tech and SaaS companies where the legal team wants to run their own review without a lit-support intermediary.
Frequently asked questions
Is Everlaw cheaper than Relativity?
It depends on the matter profile. Everlaw's per-user pricing often works out cheaper for small to medium firms with active matters and limited data volume. Relativity's per-GB model is typically cheaper for large data volumes at low user counts. Model your specific matter at /pricing-models for a side-by-side estimate.
What does Everlaw's Deposition Analyzer do?
Everlaw's Deposition Analyzer reviews the document corpus to surface documents connected to a specific witness, identify potential impeachment exhibits, and summarize the witness's electronic communications. It is a genuinely differentiated feature not currently matched by Relativity at general availability.
Does Everlaw use OpenAI models?
No. Everlaw uses proprietary models tuned on legal document patterns. This avoids OpenAI-specific vendor restrictions and means documents are not processed through OpenAI's infrastructure. Confirm current LLM architecture with Everlaw's sales team for your specific matter requirements.
Can Everlaw handle large productions (50 TB)?
Yes, but per-user pricing at 60+ reviewers can make it more expensive than Relativity at that scale. The crossover point where Relativity's per-GB model is cheaper than Everlaw's per-user model is typically around 20-30 active reviewers on a 10+ TB matter. Use the /pricing-models calculator to model your specific matter.