Relativity includes flexible search features designed to facilitate the document review process. These easily accessible features support a range of searching needs from filtering on fields and simple keyword searches to the development of complex queries. The following list summarizes the searching features available in Relativity.
You can use filters to limit the documents or items that appear in item lists on Relativity tabs and pop-ups. When you enable the filters for an item list, you can set criteria on single or multiple fields so that only matching documents or items appear in the view. Filters query across the searchable set of documents in the active view to return your results. Relativity supports multiple filter types so that you can easily choose the best format for different field types.
You can run keyword searches from the Documents tab and from Dynamic Object tabs. With these searches, you can leverage the basic functionality for querying the SQL full-text index populated with data from extracted text fields. The keyword search engine supports the use of Boolean operators and wildcards. As the default search engine in Relativity, keyword search automatically populates with extracted text during data import.
These searches provide you with the functionality to define and store queries for repeated use. With flexible settings, you can create a saved search based on any Relativity search engine, assign security permissions to it, and define specific columns to display your search results. Saved searches support the development of complex queries that you build using a form with search condition options. These queries run dynamically to ensure that updated results appear when you access a saved search.
Available on the Documents tab, you can use the advanced searching functionality to run queries with proximity, stemming, and fuzziness operators, as well as with basic features such as Boolean operators and wildcards. System admins can create a dtSearch index for a specific subset of documents in a workspace, and then assign security to it. They must manually update indexes when the document search sets used to create them are modified.
Supporting conceptual searching, Analytics includes documents in a result set when they contain similar ideas or conceptual relationships, rather than matching specific search terms or conditions. You can create searches with Analytics that categorize your documents based on the concepts contained in a sample document set. Instead of categorizing documents, you can also perform clustering, which uses specific algorithms (system-defined rules) to identify conceptually related documents.
Regular Expressions (RegEx) is a form of advanced searching that looks for specific patterns, as opposed to certain terms and phrases. With RegEx you can use pattern matching to search for particular strings of characters rather than constructing multiple, literal search queries. You can use RegEx with a dtSearch index using dtSearch syntax options to construct complex queries.
Relativity provides additional features that make searching easily accessible from the Documents tab. Use the search bar to run a keyword search query, or click the drop-down to select another search index you created.
With the search condition option, you can build queries using the same condition options available for saved searches. You can click Save as Search on the Documents tab to create saved searches based on the criteria defined for keyword searches, dtSearches, Analytics, or the search conditions option.
For more information about searching, see the following:
- Searching quick reference