Search Terms and Their Definitions – Knowledge Base

Search term categories

Logical
Document
Review
Smart Terms

Logical

Term	Definition
AND	The logical AND operator
OR	The logical OR operator
NOT	The logical NOT (negation) operator

Document

Term	Definition
CONTENTS	Searches across the textual (ocr'd) contents of the documents. Up to 100 million characters (100MB of text) per document can be searched.
BATES/CONTROL	Searches across the Bates/control numbering of the documents
TYPE	Searches for documents by their abstracted type (e.g., email, spreadsheet). Files whose type cannot be identified are classified as "Unknown." Files with no data (0 bytes) are classified as "Empty file," even if they have an extension that might otherwise suggest a different type.
HAS FORMAT	Searches for documents by whether or not a particular format type exists for the document in the database. Please note that this is distinct from the Type search term: it solely refers to whether the selected format is available within the platform. A document could have Type PDF as per the loadfile used to import its metadata but be produced in TIFF without accompanying PDF, so it would not show up in a search for HAS FORMAT: PDF.
NUM PAGES	Searches for documents by the number of pages, or a page range
BILLABLE SIZE	Searches for documents by their billable size in the database (KB, MB, GB)
LANGUAGE	Searches for documents by language
PRODUCED	Searches for documents produced in Everlaw based on the production set and status. If the "Original docs only" option is selected from the dropdown, the search will return only the pre-produced versions ("original documents") of the produced documents responsive to the search. To search for documents that have NOT been produced, make sure to select "produced and original docs" and then negate the term using a NOT operator.
UPLOADED	Searches for documents that were uploaded to Everlaw, including native, processed, and produced data. Searches for documents based on upload date, as well as upload flags, processing flags, and documents that were used to deduplicate documents during an upload
FILE PATH	Allows you to explore file directories by sequentially specifying custodians, datasets, and additional subdirectories
PROJECT	Searches against documents of other partial projects within the database.
ATTACHMENT GROUP SIZE	[Complete projects only] Searches for all documents in attachment families of a selected size. A document’s Attachment Group Size represents the total number of attachments in that document’s attachment family. Thus, if an email has three attachments, both the email and the attachments will have an Attachment Group Size of 3.

Review

Term	Definition
RATED	Searches for documents by any hot, warm, cold designation applied during review
CODED	Searches for documents by any coding designation applied during review
BINDER	Searches for documents by whether or not they exist in a particular binder
VIEWED	Searches for documents by whether or not they have been viewed by particular people
ASSIGNED	Searches for documents by whether or not they are in particular assignments and/or who they are assigned to
PREDICTED	Searches for documents by their predicted relevance to a given prediction coding model
NOTES	Searches for documents by the content, author, and/or creation time of any notes applied to them
SEARCH TERM REPORT	Searches for documents that are results of a search term report. This search will always match the set of results of the STR in its current state. The 'family members' option will only appear if the STR has included family members. Using this search term will not refresh your search term report.
STORYBUILDER	Searches for documents by whether or not they are in a particular Story, Deposition, or Draft
REDACTIONS	Searches for presence of redactions applied on documents, as well as redaction stamp content. Can search by who applied the stamp and at what time. (Note: this term does not search for redacted documents in an upload production, only for documents on which your reviewers have applied redactions for the purpose of production)
PRIOR SEARCH	Allows you to search against prior searches that you have conducted on the Everlaw platform
HAS ACCESS	[Project administrators only] Allows you to search against documents that users and user groups can access. Documents accessible by Access via assignment will only be returned when searching against a specific user.

For additional information on searching using review terms, and the parameters you can use to do so, see Searching Categories, Codes, and Annotations (notes, highlights, redactions).

Smart Terms

Smart Terms are search terms automatically created by Everlaw to streamline your searches. Smart Terms have lightning bolt icons next to their names and tooltips when you hover over them. While most Smart Terms appear on the search page, Primary Date and Family Date can be found in many other places on the platform, like the review window, Data Visualizer, and Storybuilder.

Term	Definition
PARTIES	Searches across the To, From, Cc, and Bcc fields simultaneously.
RECIPIENTS	Searches across the To, Cc, and Bcc fields simultaneously.
ALL DATE FIELDS	Searches across all visible date and datetime type metadata fields. If a document has any date field that matches the parameters of the search, that document will be returned.
ALL TEXT FIELDS	Searches across all visible text, addresslist, and addressfrom metadata fields. Optionally, this field will also search document contents. If a document has any text field that matches the parameters of the search, or if its contents matches the search if that option is toggled, that document will be returned.
PRIMARY DATE	Searches across multiple date fields in a certain order dependent on file type and assumes the topmost date value. Project admins can edit the order in Project Settings.
FAMILY DATE	Searches for the Primary Date of the top-level attachment group parent. If a document does not have a parent, its Primary Date is also its Family Date.

Everlaw AI

Everlaw AI search terms may not appear for you based on your permissions or your project or organization's Everlaw AI status. To learn more about Everlaw AI, see this collection of articles.

Term	Definition
SUGGESTED CODE	Searches documents based on Coding Suggestions
HAS DESCRIPTION/SUMMARY	Searches documents based on whether they have AI summaries
TOPICS	Searches documents based on generated topics and sentiment