Everlaw
Everlaw · Productivity · Business
Everlaw is a cloud eDiscovery platform built for litigation and investigations, and it keeps case evidence in one system of record that legal teams and their AI tools can both reach. It handles ingestion, processing, document review, redactions, productions, and trial prep in a single workspace. That's a lot less moving around than most litigation software asks for. Predictive coding, machine translation, and natural language search layer on top of it. Law firms, corporate legal departments, and government agencies use it to move from millions of documents to the handful of facts that decide a case.
About Everlaw
What Is Everlaw
Everlaw is an eDiscovery platform that collects, processes, and reviews the electronic evidence behind litigation and internal investigations. Instead of juggling a processing tool, a review database, and a production checklist, teams work inside one environment that covers the whole case lifecycle. The company was founded in 2010 and shipped its main platform in 2015, and it now serves law firms, corporate legal teams, and public-sector agencies.
The pitch is less about one clever feature and more about consolidation. Everything, from raw uploads to a final production set, lives in the same system, and the AI layer sits on top of that evidence rather than beside it. That matters because legal AI is only as reliable as the record it reads from. When documents, transcripts, and facts live in separate tools, outputs drift from the source.
The biggest limitation is access. Everlaw sells to organizations, not individuals. There's no free tier and no self-serve sign-up. Pricing is quoted and the platform works best at case volumes where a small team setup would buckle. Solo practitioners and small matters aren't the target, and the effort to onboard isn't worth it for a few hundred documents. You can see the feature list on Everlaw's pricing page, but you won't find a checkout button.
Getting Started
- Talk to Everlaw's sales team and scope your case volume, data sources, and timeline to get a quote.
- Run onboarding with Everlaw's implementation team, which covers database setup and standard data migration.
- Connect sources such as Microsoft 365, Google Workspace, or Zoom, or upload files directly.
- Let processing run, then organize documents with search, clustering, and coding.
- Review, redact, and produce, or connect your own AI tools through Everlaw's open platform.
Product Information
A quick look at Everlaw's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Litigation teams at law firms
- Corporate legal departments
- Government agencies
- Paralegals and review staff
Tasks
- Document review
- Deposition prep
- Audio and video review
- Cross-language cases
- Legal holds and productions
Scenarios
- Multi-party litigation with tight deadlines
- Internal investigations
- Drafting grounded in the record
- Long-running matters
Key features
Predictive Coding
Predictive coding learns from review decisions and ranks the rest of the document set by relevance. Reviewers tag a seed set, and the system pushes likely-relevant documents to the front. That cuts the reading load fast. For a case with a million documents, that ordering is the difference between a workable review and an impossible one.
Natural Language Q&A
Everlaw's Q&A tool lets you ask questions in plain language and get answers pulled from the case record. It works on documents and on transcripts, so you can ask what a witness said about a date instead of searching keyword by keyword. The results stay tied to the underlying evidence, which is what makes them usable in a legal setting.
Batch Redactions and Production Tools
Redacting hundreds of documents by hand is slow and error-prone, and Everlaw handles it in batches across native spreadsheets and video too. Advanced productions support clawbacks. That means a mistake in a production set can be pulled back rather than becoming permanent. Rich email threading keeps long chains readable instead of flattening them into a pile of duplicates.
Transcript Analysis and Timelines
Deposition and hearing transcripts get analyzed alongside the documents, and timelines lay out what happened in order. Fact management keeps the details you'll need to argue a point in one place. Before a hearing, that's faster than rebuilding a chronology from scratch every time.
Machine Translation
Cases increasingly cross languages, and Everlaw translates documents in more than 100 languages. Single-document translation carries no credit cost. That makes spot-checking a foreign-language contract painless. It's a review aid, not a replacement for a certified translation, so anything filed still needs a human check.
Open Platform and API
Everlaw's open platform lets teams connect their own AI tools, agents, and workflows to the evidence system. You can stay inside Everlaw or draft in whatever platform your team already uses, pulling from one trusted source. That architecture avoids data sprawl, which is the usual failure mode when AI tools each keep their own copy of the case.
Pros and cons
Pros
- One system covers processing, review, redactions, productions, and trial prep, so fewer handoffs between tools.
- AI features like predictive coding and the Q&A tool sit on the actual case evidence, which keeps outputs grounded.
- Unlimited user licenses mean you can add reviewers to a case without per-seat costs piling up.
- High-speed processing and batch redactions hold up under deadline pressure.
- FedRAMP certification and GovRAMP authorization make it viable for government and regulated work.
Cons
- No free plan and no published pricing, so you have to talk to sales before you know the cost.
- The platform is aimed at organizations, and small firms with modest case volumes won't get much from it.
- Heavy AI features run on a credit model, so usage has to be tracked and budgeted.
- Onboarding and training take real time, which is a poor fit for a one-off small matter.
Frequently asked questions
Everlaw is used for eDiscovery, the process of collecting and reviewing electronic evidence in litigation and investigations. So what does the day-to-day look like? Teams process large document sets, review and code them, redact sensitive material, and produce final sets for opposing counsel.
Related content
Explore related tools, skills, and articles for Everlaw.
Everlaw Alternatives
Swms
Swms AI · Writing · Productivity · BusinessSwms is an AI safety compliance tool that turns a plain description of a job into ready-to-use safety documents. Describe your project, trade, and known hazards, and it writes a safe work method statement, job hazard analysis, safe work procedure, RAMS, or safety data sheet in seconds. It also ships with Oscar, a chat assistant that answers workplace safety questions in any language. Teams in construction, mining, transport, and warehousing use it to cut the paperwork that usually eats into a workday.
Wordly AI Translation
Wordly · Voice & Language · ProductivityWordly AI Translation is a real-time AI translation and captioning platform built for meetings, conferences, and events. It delivers live translation, captions, transcripts, and summaries in more than 60 languages, and attendees join by scanning a QR code or opening a link instead of using dedicated headsets. The platform works with Zoom, Microsoft Teams, Google Meet, and Webex, and it's designed for organizations that want multilingual access without hiring human interpreters for every session. Simple as that.
Rows
Rows (Superhuman) · Productivity · BusinessRows is an AI spreadsheet and data analysis tool that imports live data from more than 50 sources, then lets you work with it using plain language instead of SQL queries or nested formulas. You can pull numbers out of PDFs, connect ad platforms, databases, and bank accounts, and ask the AI to build reports, merge datasets, or set up models that recalculate themselves. It runs in the browser, works like a spreadsheet, and now sits under the Superhuman umbrella.