Everlaw
PaidCloud-native e-discovery with generative AI for litigation and investigations.
By Tanmay Verma, Founder · Last verified 26 May 2026
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80/100Safe BetCloud-native e-discovery with generative AI for litigation and investigations.
By Tanmay Verma, Founder · Last verified 26 May 2026
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Everlaw is a top-tier enterprise e-discovery platform that successfully integrates generative AI to accelerate litigation workflows. Its transparent per-GB pricing and unlimited user licenses make it ideal for mid-to-large law firms, corporate legal departments, and government agencies. The platform's AI features—especially Deep Dive and Coding Suggestions—are well-integrated and practical. However, small firms or low-volume users may find the per-GB cost prohibitive, and the lack of a free tier limits trialability. Consider Relativity for on-premise needs or Logikcull for lighter, budget-friendly options.
Last verified: May 2026
Everlaw stands out in the e-discovery market for its cloud-native architecture and extensive AI capabilities. The platform is designed for litigation-heavy teams that need to process millions of documents quickly. Its generative AI tools—Deep Dive, Coding Suggestions, Writing Assistant, and Review Assistant—are not gimmicks; they genuinely reduce manual review time. Deep Dive allows you to ask natural language questions across your entire corpus and get answers with direct citations, which is a game-changer for early case assessment. Coding Suggestions can automate first-pass review with performance rivaling human reviewers. Writing Assistant helps draft deposition outlines and arguments by synthesizing evidence. All single-document AI actions are included at no extra cost, which lowers the barrier to experimentation. The pricing model is transparent: per-GB for data management, with AI batch actions charged on a credit system. This works well for organizations with predictable data volumes but may be less flexible for ad-hoc high-volume batch AI use. The platform's integrations with Anthropic, Google Gemini, and Legora expand its capabilities. The recent Anthropic MCP integration enables agentic workflows, and the Legora partnership allows end-to-end AI litigation workflows. The new Legal Holds feature brings data-driven preservation, and Everlaw Prime addresses public records and FOIA needs. The platform is cloud-only, which may be a dealbreaker for firms requiring on-premise deployment. Overall, Everlaw is a strong choice for organizations that prioritize AI-assisted discovery and have the budget for per-GB pricing. Solo practitioners or small teams with low data volumes should evaluate total cost carefully.
Skip Everlaw if Skip Everlaw if you are a solo practitioner or small team with low data volumes and need a free tier or fixed low monthly cost.
Everlaw integrates with Anthropic's Claude via MCP, enabling agentic workflows for litigation and investigations.
Partnership connects AI-powered workflows across Everlaw and Legora platforms.
How likely is Everlaw to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
Everlaw is a cloud-native e-discovery platform that helps legal teams manage, analyze, and review large volumes of litigation and investigation data. It combines traditional e-discovery with generative AI assistants to accelerate document review, surface insights, and draft arguments. Features include Deep Dive for natural language querying across millions of documents with cited citations, Coding Suggestions for automated first-pass review, Writing Assistant for evidence synthesis and argument drafting, and Review Assistant for single-document Q&A and summaries. The platform also offers predictive coding, concept clustering, communication visualization, multilingual translation, Storybuilder for trial preparation, and legal holds management. Everlaw integrates with Anthropic (Claude via MCP), Google Gemini, Legora, and cloud connectors for Microsoft, Google, Slack, and Zoom. It is FedRAMP and GovRAMP certified, making it suitable for government and enterprise use. Pricing is per-GB with unlimited user licenses; single-document AI actions are included, while batch actions consume credits. Recent updates include an Anthropic MCP integration, a Legora partnership, a new Legal Holds workflow, and Everlaw Prime for public records and FOIA requests.
Concrete scenarios for the personas Everlaw actually fits — and what changes day-one when you adopt it.
You upload a new 500,000-document set from a corporate client. Use Deep Dive to ask 'Show me all documents mentioning 'confidential' sent in January 2025' and get cited results in seconds. Then run Coding Suggestions to auto-tag responsive documents with rationales.
Outcome: You reduce first-pass review time by 50% and surface key evidence faster.
Preserve evidence from Slack and Teams using Legal Holds. Upload chat exports via cloud connectors. Use Review Assistant to summarize each employee's communications and extract key topics.
Outcome: You maintain defensible preservation and deliver a summary report to executives in days, not weeks.
Use Everlaw Prime to process public records requests. Ingest email archives and apply AI to auto-categorize records as responsive or exempt. Use Deep Dive to answer requester questions with cited evidence.
Outcome: You reduce FOIA backlog by 60% and improve response accuracy.
Everlaw's AI batch actions consume credits (purchased in committed amounts that expire at term end), limiting flexibility for sporadic high-volume use. Single-document AI actions are free, but batch summarization, topic analysis, and coding suggestions require credit spend. The platform is cloud-only with no offline desktop client. Some model details (e.g., underlying LLM versions) are not publicly specified, though integrations with Anthropic and Google Gemini are noted.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published Everlaw tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Platform Subscription (Annual)
Contact for quote
Ideal for
Mid-to-large law firms, corporate legal departments, and government agencies handling substantial data volumes (e.g., over 100 GB annually) who need unlimited users and full AI suite.
What this tier adds
Starting tier with per-GB pricing, includes core features and single-document AI actions; batch AI actions require separate credit purchases.
The company stage and team size where Everlaw's pricing actually pencils out — and where peers do it cheaper.
Everlaw's per-GB pricing with unlimited user licenses favors mid-to-large organizations with consistent data volumes. Small teams or low-volume users may find it more expensive than alternatives like Logikcull or Nextpoint, which offer flat-rate tiers. However, for data-heavy litigation, Everlaw's transparent model avoids surprise per-user fees.
How long it actually takes to get something useful out of Everlaw — broken out by persona, not the marketing-page minute.
For a litigation associate: upload data and start searching within hours; Deep Dive and Review Assistant are immediately usable. AI Coding Suggestions require creating a coding sheet (1-2 hours). Full platform training is available via onboarding sessions (typically 2-3 half-days).
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
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