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. 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.

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