Search term categories
Search terms are organized into the following categories:
| Category | Definition |
|---|---|
| Logical | Terms that evaluate one or more conditions (e.g. And, Or, Not) to return a True/False result for documents |
| Document | Terms for properties intrinsic to a document itself, such as its contents, Bates/control number, type, or upload source |
| Review | Terms for properties of review work and product, such as ratings, codes, assignments, binders, notes, and redactions |
| Smart Terms | Everlaw-defined metadata search terms that automatically aggregate values from multiple related metadata fields (e.g. the Parties term is made up of the To, From, Cc, and Bcc metadata fields) |
| Everlaw AI | Terms based on content generated by Everlaw AI, such as coding suggestions, summaries, topics, and extracted values |
| Metadata | Terms for document metadata fields like From, To, Subject, custodian, and dates |
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 | A metadata field derived from the Native Path default column. Allows you to explore file directories by sequentially specifying custodians, datasets, and additional subdirectories. It is not case-sensitive. |
| Project | Searches against documents of other partial projects within the database. |
| Attachment Group Size |
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. For example, if an email has three attachments, both the email and the attachments will have an Attachment Group Size of 3. |
| Text File Size | Searches for documents by their size, in either kilobytes (KB) or megabytes (MB). This term accepts both minimum and maximum values to cover a range of sizes. |
| Has Linked Document |
Searches for all uploaded documents (native or processed) containing one or more links to other document(s). A document has linked documents when Everlaw identifies it as containing at least one link from a document, either by recognizing a cloud-hosted URL in the document body or in its metadata. Link sources Everlaw currently recognizes are:
Note The linked documents themselves do not need to be in the database to be detected as linked. |
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. 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. |
| Promotion Code | [ECA-enabled databases only] Search based on the promotion code used to promote documents from ECA to review |
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 |
AI extraction fields can also be used as search terms, allowing you to leverage document extractions to more effectively and efficiently identify documents based on specific extracted data. To learn more, visit Create and Use Custom Extractions.
Metadata
To learn about searching on metadata, visit Searching Metadata.
For a complete list of standard metadata fields, visit Standard Fields.