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Everlaw

Translate discovery data at scale across 100+ languages

Everlaw AI Translations helps legal teams automatically detect and translate foreign-language documents inside eDiscovery workflows. It keeps translations searchable for the life of the matter and charges by translated character rather than whole document unit.

Enterprise
File Access
B2B
Usage-Based
A2A Support
For Teams
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About

What It Is

Everlaw AI Translations is a legal document translation feature built into Everlaw’s eDiscovery platform. It is designed for litigation teams, legal departments, and review teams that need to work through multilingual discovery without sending everything to human translators first.

What to Know

This is useful when your main need is fast review and search across multilingual evidence, not publication-quality translation. Everlaw emphasizes speed, secure storage, and consistency across a matter, but the page does not explain which underlying...

Key Features
Automatically detects foreign-language documents
Translates documents from 100+ languages
Supports bulk translation across large document sets
Preserves original document formatting
Keeps translations searchable for the life of the matter
Use Cases
Legal teams reviewing multilingual discovery in litigation
Law firms translating large batches of foreign-language evidence
Corporate legal departments searching across multilingual document collections
Agenticness: Guided Assistant

Executes tasks you assign, one step at a time, within narrow domains.

High evidence
Last evaluated: Apr 3, 2026

Dimension Breakdown

Action Capability
Autonomy
Adaptation
State & Memory
Safety

Categories

Pricing
  • Free: Not publicly available
  • Pro ($/mo): Not publicly available
  • Enterprise: Character-based pricing for translated text; contact Everlaw for details
Details
AddedApril 3, 2026
RefreshedApril 3, 2026
Agenticness
Quick Facts
DeploymentCloud-hosted
AutonomySemi-autonomous
Model supportSingle model
Open sourceNo
Team supportEnterprise
Pricing modelPlatform fee + usage
Interfaceweb
Sources
Last updated April 22, 2026
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