Everlaw
AI-powered cloud-native ediscovery software for litigation and investigations
Key strengths
Technical Documentation & Integration Guide
Platform Architecture
Everlaw is a fully cloud-native SaaS application, eliminating the need for on-premise infrastructure. It supports high-volume document ingestion and is proven reliable on sets of 10 million documents and more, with rapid release cycles ensuring continuous feature delivery.
AI Suite Components
- Deep Dive: LLM-powered corpus interrogation that surfaces cited insights across entire document sets. Handles natural-language queries and returns answers with direct document citations.
- Coding Suggestions: ML model that reads your coding sheet and auto-categorizes documents with rationale, enabling first-pass review automation at scale.
- Predictive Coding: Supervised learning model trained on reviewer decisions to rank and prioritize documents.
- Clustering: Unsupervised ML grouping of documents by conceptual similarity to accelerate review strategy.
- Writing Assistant: Generative AI that synthesizes evidence into legal drafts and arguments.
- Translations: AI-powered multilingual document translation within the review workflow.
Anthropic MCP Integration
Everlaw supports the Model Context Protocol (MCP) with Anthropic's Claude, allowing developers and legal professionals to:
# Example: Query Everlaw data via Claude MCP
# Connect Claude to your Everlaw instance via MCP server
# Then issue natural-language prompts such as:
"Find all documents referencing the merger agreement between Jan 1–Mar 31, 2023"
This integration enables direct search, retrieval, and analysis of Everlaw materials inside Claude's interface.
API & Integrations
Everlaw offers partner integrations and a Partner Directory for connecting with third-party legal tech tools. For custom integrations, contact Everlaw's partnership team via the Partner Program portal.
