Everlaw
Cloud eDiscovery and litigation AI for massive document sets.
About
Everlaw is a cloud-native eDiscovery platform (founded 2010, Oakland) trusted by 91 of the Am Law 200 and all 50 state attorneys general. EverlawAI adds coding suggestions, batch summarization, and predictive coding, while Deep Dive answers natural-language questions over millions of documents with citation-backed responses.
Strengths: scale (matters up to 239M documents), defensible AI review, and Storybuilder for trial narratives. Limitations: priced for litigation practices via quote only, and it is purpose-built for disputes — not a general contract tool.
What it can do
- AI coding suggestions for document review
- Batch summarization across the corpus
- Predictive coding with multi-matter models
- Deep Dive citation-backed Q&A
- Storybuilder trial narratives
- Legal holds with API
Setup
- Contact Everlaw for a demo scoped to your matter size.
- Upload or collect ESI (email, Slack, files) into a project.
- Run early case assessment and predictive coding to prioritize review.
- Use Deep Dive and Storybuilder to build the case narrative.
Prerequisites
Litigation or investigation matter with substantial ESI.
Use cases
Works with
Trust score — 8/10
Scored 8/10 (metrics tier, metrics-v1). Evidence: 91 of Am Law 200 and all 50 state AGs reported as customers; G2 #1 eDiscovery grid Winter 2026; Founded 2010; well-funded; Quote-only pricing. License: Proprietary SaaS..
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 8.0/10
- Maintenance · recency, releases, issue load
- 8.0/10
- Openness · license + docs
- 5.0/10
- Manual review · sanity read + red-flag check
- 7.0/10
- · 91 of Am Law 200 and all 50 state AGs reported as customers
- · G2 #1 eDiscovery grid Winter 2026
- · Founded 2010; well-funded
- · Quote-only pricing
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.