How do “saved searches” improve efficiency in Relativity?

Saved searches enhance efficiency in Relativity by allowing users to store and quickly access frequent queries. This feature is crucial for users who frequently perform the same or similar searches, as it eliminates the need to recreate complex search parameters each time. By saving these searches, users can optimize their workflow, moving directly to relevant information without having to remember or re-enter their previous criteria. This not only saves time but also ensures consistency in the searches applied across cases.

In the context of the other options, integrating external databases would provide valuable data but wouldn't necessarily speed up access to frequently used search criteria. Real-time collaboration is essential for team dynamics but doesn't relate directly to the efficiency gained from storing searches. Automatic suggestions for new searches based on usage could be useful, yet this feature would not specifically address the need for quick access to established queries that users rely on repeatedly. Thus, the primary benefit of saved searches lies in enhancing the speed and efficiency of users' workflow by streamlining their search processes.