What are some methods for searching data in a review process?

In the context of searching data during a review process, utilizing keyword methods and dtSearch is particularly effective. Keyword searching allows reviewers to pinpoint specific terms or phrases that are relevant to the case, helping them quickly locate pertinent documents. This method is foundational in e-discovery and review processes, as it narrows down massive datasets to those that contain the relevant information.

dtSearch enhances this capability by providing robust search functionalities, such as proximity searching and Boolean operators. It enables users to conduct highly specific searches and can manage large volumes of data efficiently, making it an essential tool for legal and review teams working with extensive datasets.

Filtering and document sort, while useful, are more about organizing already accessed data rather than searching, and analytics and export deal with reviewing and sharing data rather than searching it. Conditional searching can enhance searches with additional parameters, but keyword and dtSearch are among the most fundamental and powerful methods in the data review process.