How should a document containing a party's home address be coded if it is the only responsive document in its family?

The notion of properly coding a document in the context of eDiscovery hinges on understanding the relevance of the information contained within the document itself and the family to which it belongs.

The correct choice captures an important principle regarding how certain AI classification systems operate. If the AI classifier in use has a limitation where it ignores numerical values, such as those in an address, it could fail to identify the document as responsive despite the presence of relevant information. In practical terms, this means the document would not be flagged for review based on the content it holds, which includes the home address of a party—often critical information in many legal contexts.

This emphasizes the significance of understanding the limitations of the tools used in data classification, where the nature of the information (like numbers in an address) could lead to potentially overlooking responsive documents based on the coding parameters established by the AI system.

Consequently, one should be cautious with reliance on automated classification alone and consider manual review processes when critical data formats are involved to ensure that relevant information is not missed.