Discovery (legal)
The pre-trial process in litigation during which parties are required to identify and produce documents and information relevant to the dispute. Retained data is discoverable, meaning it can be demanded and must be produced if litigation arises; every retained dataset expands the volume an organization may eventually need to search, review, and produce, which is one of the cost drivers behind Topic 9.2's liability framing.
Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in AI Data Governance: The Data Chair.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
The pre-trial process in litigation during which parties are required to identify and produce documents and information relevant to the dispute. Retained data is discoverable, meaning it can be demanded and must be produced if litigation arises; every retained dataset expands the volume an organization may eventually need to search, review, and produce, which is one of the cost drivers behind Topic 9.2's liability framing.
The pretrial process in a lawsuit during which each party is required to produce relevant documents and information to the other side. Referenced in this topic's Example 1 as the stage the ACCC versus Meta case had reached as of this topic's writing, illustrating that the case remains actively in progress rather than resolved.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- The deletion decision: the terabytes your organization should destroy this quarter, defended · The Money of Data, AI Data Governance: The Data Chair
- The famous face endorsing the opportunity · Relationship and Investment Scams, Senior AI Scam Defense
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.