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Everlaw

Everlaw

AI-powered cloud-native ediscovery software for legal professionals

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AI-Powered Summary

Everlaw is a cloud-native ediscovery platform used by law firms, corporations, and government agencies to manage litigation and investigations end-to-end. It integrates generative AI capabilities for document review, natural language querying across large document sets, automated coding suggestions, and narrative building, all within a security-certified environment with FedRAMP authorization.

Key Features

What makes Everlaw stand out

Deep Dive Search

Ask natural language questions across millions of documents and get answers with direct citations to source material.

AI Coding Suggestions

Automatically classifies documents based on your review criteria with accuracy comparable to manual review.

Writing Assistant

Synthesizes evidence into cohesive narratives and helps brainstorm case strategy from your discovery data.

Storybuilder

Collaborative tool for building case narratives, managing depositions, and preparing for trial in one workspace.

Predictive Coding

Machine learning ranks documents by relevance so reviewers focus on the most important materials first.

Communication Visualizer

Maps email and messaging patterns visually to identify key custodians and communication networks.

Cloud Data Connectors

Collect data directly from Microsoft 365, Google Workspace, Slack, Zoom, and other cloud platforms.

Security & Compliance

SOC 2 Type 2 certified with FedRAMP and StateRAMP Moderate Authorization for government-grade security.

What's Great

  • End-to-end ediscovery lifecycle coverage from legal holds through trial prep in a single platform
  • Unlimited user licenses included, eliminating per-seat cost concerns for large teams
  • Strong security certifications including SOC 2 Type 2, FedRAMP Moderate, and StateRAMP Moderate
  • AI features like Deep Dive work across 10M+ document sets with cited sources for verification
  • Native support for modern data types including Slack, Teams, iMessage, and WhatsApp

Things to Know

  • No transparent pricing—requires contacting sales, making cost comparison difficult
  • Batch AI features require purchasing credits on top of the base platform cost
  • Highly specialized for ediscovery and litigation—not suitable for general legal practice management
  • Unused committed credit purchases expire at end of term

Pricing Plans

All Everlaw pricing tiers and features

Contact sales for pricing. Some AI features require credits.

Enterprise

Everlaw Platform

Contact Sales
UsersUnlimitedusers
ProductionsUnlimitedproductions
Unlimited User Licenses(Unlimited)
Onboarding
Customer Training & Support
Legal Holds
Native Support for Novel Data (Slack, Teams, iMessage, WhatsApp, and more)
Redaction Tools
Processing & Imaging
Advanced Analytics (Concept Clustering, Data & Communication Visualization)

+20 more features

Real Cost Breakdown

Hidden Costs

  • AI credits required for batch operations (summaries, coding suggestions, extractions, translations)
  • Unused committed credits expire at end of contract term
  • Data hosting/storage costs likely scale with volume but are not disclosed publicly

Cost Saving Tips

  • Single-document AI features are included at no extra cost—use these before investing in batch credits
  • Use Early Case Assessment to reduce review volume by up to 74%, lowering overall costs
  • Unlimited user licenses mean you can onboard your entire team without per-seat increases

Enterprise-level pricing with no public rates; the unlimited user model and included single-document AI features provide good value for large teams, but batch AI credits add unpredictable costs.

Price Comparison

Compare Everlaw with similar tools

Everlaw offers enterprise pricing. Contact their sales team for a custom quote based on your needs.

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Free / Open Source
Freemium
Paid
Enterprise

Best For

Legal teams managing complex litigation, investigations, and large-scale document review

Who Should NOT Use This

  • Solo practitioners or small firms with minimal document volumesEverlaw is designed for complex litigation and investigations with large datasets; the platform's enterprise pricing and feature depth would be overkill for simple matters.
  • Teams needing general legal practice managementEverlaw is specifically an ediscovery and litigation platform, not a general law practice management tool for billing, client intake, or case management.
  • Budget-conscious teams needing transparent, predictable costs upfrontPricing requires contacting sales with no published rates, and batch AI features add additional credit-based costs that are difficult to estimate in advance.
  • Organizations requiring on-premise deploymentEverlaw is entirely cloud-native with no on-premise option, which may not meet certain organizations' data residency or air-gapped security requirements.

Competitive Position

Combines generative AI features like natural language corpus-wide querying (Deep Dive) and automated coding suggestions with an unlimited user license model in a FedRAMP-authorized cloud platform.

When to Choose Everlaw

  • When handling complex litigation with large document volumes (millions of documents)
  • When you need a single platform covering legal holds through trial preparation
  • When government compliance certifications (FedRAMP, StateRAMP) are required
  • When you want unlimited user seats without per-user pricing

When to Look Elsewhere

  • When you need transparent, self-serve pricing without sales involvement
  • When your document volumes are small and matters are straightforward
  • When you need broader legal practice management beyond ediscovery
  • When you require on-premise deployment for data sovereignty reasons

Strongest alternative: Relativity (RelativityOne)

Learning Curve

Moderate
Time to basic use
2-4 hours
Time to proficiency
2-4 weeks

Prerequisites

Understanding of ediscovery workflows and legal review processes
Familiarity with litigation or investigation procedures

Common Challenges

  • Understanding when to use different AI features (Deep Dive vs. Coding Suggestions vs. Predictive Coding)
  • Learning to effectively leverage advanced analytics like concept clustering and communication visualization
  • Managing the credit system for batch AI operations efficiently

Frequently Asked Questions

Common questions about Everlaw

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