In the matter of · Legal technology vendors

Docket & Device

v. The Hype

DOCKET NO. COR-001 · FILED 2026-09-22

Everlaw

Published · Researched 2026-09-22

Everlaw — E-discovery research file

Overview

  • Maker: Everlaw (Oakland, CA; founded 2010; investors include Andreessen Horowitz, CapitalG, TPG Growth)
  • Purpose: Cloud-native e-discovery and litigation platform: processing, search, predictive coding, collaboration, story-building, and trial prep.
  • Current 2026 version: Everlaw platform with AI Deep Dive (general availability announced Nov 2025 per LawNext — batch ingestion-fee model, unlimited questions per case), Coding Suggestions (40% price cut announced Oct 2025 per BusinessWire), Clustering, Storybuilder; Workflow Builder previewed as forthcoming. Vendor claims: trusted by Fortune 100 corporate counsel, 91 of Am Law 200, all state AGs (vendor claim, UNVERIFIED independently).

Social standing

Threads (searched 2026-09-22): Two organic third-party mentions found:

  • @kesslernity (2026-09-08), tech commentator citing VentureBeat on AI spend control: noted Everlaw as the one company that could show hard numbers — paraphrased: ~$3,500 in tokens cut an Everlaw project from 9.5 engineer-months to 2.5. Pro-Everlaw data point from an independent account.
  • @_pressplaydaily (2026-08-30): Google's Gemini Enterprise for Legal launch "uses MCP connectors" linking to Everlaw (plus Relativity, iManage, NetDocuments). Ecosystem-relevance signal.

Facebook / Facebook Groups (searched 2026-09-22): Same access picture as category-wide: no e-discovery posts in the account's own groups; dedicated e-discovery groups found are closed/inaccessible.

Review-community layer (independent, identifiable users):

  • G2: 4.7/5 across 732 reviews (per G2 DISCO-alternatives page, crawled Sept 2026); learn.g2.com reports the category's highest satisfaction — 99% of reviewers rate 4–5 stars, 91% recommend rate cited for the trusted-pair (Everlaw + Relativity).
  • Named G2 reviews (pros/cons page, 2026): "UL" (verified law-practice user, small business, 6/10/2026, 4.5/5) praised fast user-friendly keyword search and AI filtering, support resources; disliked download/folder-browsing efficiency. "Lucas W." (small business, 3/10/2026, 4/5) praised organization, productions, and setup ease; noted a learning curve and attorney resistance to change. "Farah T."-style small-firm reviewers (Logikcull page cross-reference) frame Everlaw as the step-up pick.
  • SpotSaaS (July 2026): 8.4 SpotScore, 4.7/5 from 282 ratings; "best for collaborative review."
  • FeaturedCustomers Fall 2025: Market Leader.
  • Practitioner canon: named alongside Relativity/Logikcull as core paralegal toolkit ("Everlaw for collaboration and trial prep" — paralegalassistants.com).

Recurring praise: intuitive UI, fast processing, search quality, collaboration/story-building, excellent support, all-inclusive pricing model (no per-user fees). Recurring complaints: cost (per-GB adds up at scale — one GetApp reviewer argued storage cost doesn't justify ~$30/GB/month pricing), learning curve for attorneys, reporting features could be better, folder browsing/downloads.

Social validation

  • Tier 2. Validating sources: (1) Threads organic third-party mentions (@kesslernity AI-spend anecdote; @_pressplaydaily Gemini-connector mention) — proves real-world visibility beyond vendor channels; (2) G2/SpotSaaS/GetApp verified-user communities with named, dated, role-identified reviewers — proves deployment breadth and satisfaction lead; (3) practitioner-training canon. Facebook Groups/Instagram: no accessible organic content found.

Key facts table

Fact Value (source, date)
Deployment Cloud-native SaaS only (US, UK, EU/CA/AU regions per API docs; vendor)
Review Review workbench, predictive coding, Coding Suggestions (GenAI), Clustering
AI (2026) AI Deep Dive GA (Nov 2025, LawNext); 250+ customers on GenAI features incl. federal (vendor via BusinessWire, Oct 2025)
Collaboration Storybuilder, context panel, team review workflows (reviewer consensus)
API REST API, 25 req/sec/user, api.everlaw.com (api-evangelist GitHub, 2026)
Security FedRAMP-authorized government community cloud (GSA price list, Aug 2025)

Pricing (observed only, with source + date)

  • GSA Advantage official price list (Aug 2025, federal): FedRAMP Government Community Cloud monthly subscription $5,771.41; Active Data $25.24/GB; 500GB bundle $8,710.33 with $17.42/GB overage; 1TB $14,146.10 / $14.15 overage; 5TB $52,065.49 / $10.41 overage; 10TB $88,413.10 / $8.84 overage; 50TB $374,609.57 / $7.49 overage; suspended/archived data $3.50/GB. Source: gsaadvantage.gov textfile 47QTCA18D00C6 (August 2025). Federal pricing — commercial rates differ.
  • GetApp (crawled Sept 2026): "Starting from $250.00/month"; simple per-GB pricing, everything included (support, training, unlimited users), no free trial. Third-party listing — treat as directional.
  • Third-party estimate: $18–35/GB/month (api-evangelist/everlaw GitHub repo, 2026) — explicitly labeled estimate; actual = quote. UNVERIFIED.
  • AI Deep Dive: one-time per-GB ingestion fee, unlimited questions per case lifetime (LawNext, Nov 2025).
  • Commercial per-GB rate: contact sales — exact current commercial number UNKNOWN.

Integrations (observed)

Per GetApp (2026): Asana, Box, ChatGPT, Claude, Google Vault, Harvey/Harvey AI, Jira, Nuix Workstation, OneDrive, OpenAI, Salesforce, SharePoint, Slack, Zendesk. Third-party listing; UNVERIFIED in full.

Support reputation

Consistently the category's most-praised support: G2 reviewers cite responsive help and training resources; "excellent customer support" is a repeated theme across G2/SpotSaaS. No systematic support complaints observed.

Community verdict

Everlaw holds the satisfaction lead in user-review communities — the intuitive, collaboration-first alternative to Relativity's power-admin model, with all-inclusive per-GB pricing that small and mid-size teams prefer. The honest friction is cost at scale (per-GB math draws the most consistent complaint) and the usual attorney change-resistance. Its 2025–2026 AI push (Deep Dive, Coding Suggestions) is the most concretely shipped GenAI story in the set, with federal users cited.

Images

No product images were gathered at research time (2026-09-22). When they land, they appear here as captioned exhibit documents — sourced and dated, never stock placeholders. An empty exhibit block means the evidence is still being collected.

Everlaw — product-illustration-clustering-predictive-coding-heat-map.
Everlaw — product-illustration-clustering-predictive-coding-heat-map. Source: https://www.everlaw.com/
Everlaw — product-illustration-security.
Everlaw — product-illustration-security. Source: https://www.everlaw.com/
Everlaw — product-illustration-customer-experience.
Everlaw — product-illustration-customer-experience. Source: https://www.everlaw.com/