Build complex queries by combining logical containers and search terms through Everlaw's visual search interface.

Document search terms are used to find documents based on intrinsic attributes like text, metadata, type, language, and more.

Content searching is one of the most common ways to find documents. You can use parentheses, AND, OR, and NOT to build complex content searches. Wildcard, proximity, fuzzy, and regular expression searches are also supported.

Review search terms are used to find documents based on review status or applied review product.

Metadata search terms are used to find documents based on their metadata values in Everlaw.

Organize documents into contextually relevant groups directly from the search page and deduplicate and sample the search results.

Interactive Training

Live Training

Everlaw offers free live and recorded training sessions on Searching, which you can sign up for here.

Topics covered include:

  • Document, review, and metadata search terms

  • Combining search terms using logical operators

  • Document grouping options

Resource Guides

Check out our downloadable resource guides for the following workflows:

Training Activities Checklist

After you've watched videos and have a basic understanding of how to use the visual query builder, practice your skills and try performing the following actions:

  • Create a search using the logical operators

  • Group documents by attachments and notice if the number of documents change

  • Rename your search

  • Use a smart search term

  • Search using a Bates range

  • Think of a word in your matter that comes up a lot, but in different forms: e.g. work, worked, worker, and working. Construct an advanced content search that finds any such occurrence of this word.

Next: Learn about Results Table