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 Certified AI Data Governance Professional (CADGP).
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 module of every program is free with a free account.
- The deletion decision: the terabytes your organization should destroy this quarter, defended · The Money of Data, Certified AI Data Governance Professional (CADGP)
- The famous face endorsing the opportunity · Relationship and Investment Scams, Senior AI Scam Defense
Where it shows up at work
A definition is where Discovery (legal) starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Recognizes AI-enabled fraud, from cloned voices and synthetic video to romance and investment scams, and knows the one move that breaks the script.
One lesson on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- AI Literacy Leadneeds working knowledge
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
Where the frameworks place it: FTC guidance; FinCEN elder financial exploitation advisory.
One interview question about it
A caller sounds exactly like a colleague and asks for a transfer. How do you tell a voice clone from a person, and what is the rule?
Asked of candidates for deepfake, voice-clone and scam recognition. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
If you come from another field
Some backgrounds already carry this competency, and the readiness check gives credit for it.
- Elder services, social work, banking front line and fraud teams carries it as a claim to back up: Fraud patterns are familiar; the synthetic versions are new.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.