Everlaw
AI-powered cloud-native ediscovery software for litigation and investigations
Paid·All audiences·Powered by Anthropic·API available
Key strengths
AI-powered document review with Coding Suggestions and Deep Dive analyticsCloud-native architecture scaling to 10M+ document setsEnd-to-end ediscovery from early case assessment to trial preparationWriting Assistant for AI-drafted legal arguments from discovered evidenceIntuitive UX designed for legal professionals of all technical levels
Paid only
Oakland, USA
Founded 2011
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- Automated First-Pass Review Pipeline: Integrate Coding Suggestions into review workflows to auto-tag documents for relevance, privilege, and issue codes based on a customized coding sheet — reducing manual review hours significantly.
- LLM-Powered Corpus Interrogation via Deep Dive: Deploy Deep Dive to run natural-language analytical queries across 10M+ document sets, returning cited answers suitable for attorney validation and court-ready fact development.
- Claude MCP Integration for AI-Assisted Case Analysis: Connect Everlaw to Anthropic's Claude via the MCP integration to enable conversational search and retrieval of case materials directly from Claude's interface.
- Predictive Coding Model Training: Train Everlaw's supervised ML model on seed sets of reviewed documents to intelligently rank the remaining corpus by predicted relevance, enabling technology-assisted review (TAR) workflows.
- Multilingual Review Workflows: Use the Translations feature to automatically translate foreign-language documents for review without leaving the Everlaw platform.
- Partner & API Integrations: Leverage the Partner Directory and integration framework to connect Everlaw with existing legal tech stacks, data sources, and enterprise security tooling.