When can filtering be applied in the Relativity processing workflow?

Filtering in the Relativity processing workflow is specifically designed to apply constraints to the data that has been identified and organized through the Inventory task, prior to moving into the discovery tasks. This allows for the refinement of data early in the workflow, ensuring that only relevant information proceeds to the next stages.

When filtering is applied after the Inventory finishes but before discovery tasks, it enables users to make decisions regarding what data is pertinent for review, which enhances the efficiency of subsequent tasks. Implementing filtering at this point allows for a more streamlined process, as it eliminates unnecessary data before it is analyzed or reviewed during the discovery phase.

In terms of the workflow process, filtering before the Inventory task would not be feasible as there would be no data to filter, and applying filtering only during or after the discovery phase does not align with the goal of optimizing the processing workflow from the very start. Therefore, the correct timing for filtering is indeed after the Inventory is complete and before entering the discovery tasks.