Everlaw for Public Records and FOIA Requests
Tackle mounting records backlogs and save taxpayer money by incorporating efficient and reliable workflows with Everlaw.

For Government Offices from Coast to Coast
Respond in a Timely Manner
No matter the size or scope of the request, speed up response times by leveraging reliable uploads and powerful search. Use Everlaw’s wizard-driven production tool to report, track, and share.
Keep Information Secure
Confidently protect your office’s data and privileged information with Everlaw’s top-grade security and industry-leading automated, smart redaction tools.
Collaborate & Comply
Work with others on your team, create a Vaughn index or privilege log to comply with state and federal laws, and easily share the data with the requestor via an auditable link.
Optimize Workflows without Compromising Security
Review Right Away
Upload data directly from the most popular cloud storage solutions, including Microsoft Office. With processing speeds of up to 900k documents per hour, you can start reviewing right away.
Designed With Government Employees in Mind
Access Everlaw from any modern web browser, without installing new hardware or maintenance burden. Everlaw’s intuitive user interface makes it simple for anyone to use without the need for lengthy and expensive certifications.
Find What You Need
Everlaw’s Instant Visual Search is designed to be easy and more natural with a simple, drag-and-drop interface. Results are displayed almost instantaneously.
Shorten Time to Insights with Clustering
Quickly identify conceptually similar documents with Clustering to glean valuable insights from large datasets without manually building a search. Rapidly surface important documents, ensure consistency of coding decisions, and optimize search term generation for current and future requests.
Don’t Get Left Behind
Because Everlaw is cloud-native, with a dynamic development team, new features are released every four weeks and are rolled out automatically to all customers. This future-proofs teams against emerging data types and fluctuating needs.