#Dtsearch searchresultsitem manuals#

See Workspace security.īefore you begin, you need to create a saved search that includes the fields that you want to include in the index. You must have the appropriate permissions to complete this task. You can build custom dtSearch indexes for a subset of documents or for certain document fields in a workspace. This discovery turns out to be crucial to the case. The searches you run include the following:Īs you keep running these proximity searches, you get down to a small group of intriguing emails between a prospective buyer (your client) and a prospective seller, which may prove that the seller had knowledge of the fact that those building materials were potentially dangerous when they were negotiating a price with your client. When you select the index and search your document set against it, you run a number of proximity searches to see how close terms relating to hazardous substances occur to the names of the building materials that may or may not contain them. You then build and activate the index so that you can select it in the Search drop-down. You leave all other fields at their default settings and save the index.

For the Searchable set field, you select a saved search that you've already created called Hazardous Materials searchable set, which contains documents to which you've already applied keywords related to the substances mentioned in your client's email.īecause many of the invoices and emails in your data set contain references to various purchases of building materials made by various departments in the construction company you’re helping to represent, you set the Auto-recognize date, email and credit card numbers field to Yes.

You might also create an Analytics index for this case with a similar name, so make sure to differentiate them clearly. You call the index 'Hazardous Materials dtSearch' so that you can easily identify it in the Search drop-down on the Documents list. To do this, you need to be able to perform proximity, stemming, and fuzzy searches on your data set. You also need to retrieve certain text related to five substances that you know are prevalent in this data, as an employee from the construction company mentioned these specifically in an email to you.

It’s early in the case, and you need to gain an understanding of the data set.

#Dtsearch searchresultsitem manuals#

There are roughly three million files relevant to a case you're working on, including emails, email attachments, invoices, and technical manuals related to construction practices and material handling.

Using dtSearch to identify documents in other languages.

Searching for terms while excluding email footers.

Searching for conversational uses of fax and phone.

Searching for a document set using control numbers.

Regular expression searching - SSN and EIN.

Using regular expressions with dtSearch.

After building your dtSearch index, the Dictionary search option is also available. It also supports the use of Boolean operators and custom noise word lists as well as the basic searching features available in keyword searches. Relativity's dtSearch engine provides advanced search functionality such as proximity, stemming, and fuzzy searches across any field type.