What filter should be used in Relativity's short message discovery to manage a large volume of short messages?

The use of event type as a filter in Relativity's short message discovery is particularly effective for managing a large volume of short messages because it allows users to categorize and narrow down messages based on specific actions or events that occurred. This could include actions such as sent messages, received messages, or even deleted messages, depending on the system design and available data attributes. By filtering messages according to their event types, users can significantly reduce the volume of data they need to review, concentrating only on the most relevant messages tied to particular events or actions.

Utilizing event type helps streamline the discovery process, enabling more efficient analysis and reducing the time required to sift through potentially thousands of messages. It also facilitates targeted investigations where specific events are the focus, making it easier to identify relevant communications in legal or compliance scenarios. Therefore, the event type filter serves as a strategic tool in handling the overwhelming volume of short messages effectively.