Frameworks & Standards
EU AI Act
The EU AI Act is the European Union's legal framework for artificial intelligence. It uses a risk-based approach and places additional obligations on certain AI systems, especially high-risk systems.
Buyer question
"Can Legra help produce the data-governance and traceability evidence needed around regulated AI systems?"
Legra fit
| Assessment area | Legra fit | Status |
|---|---|---|
| Data governance | Workspaces, validation rules, provenance, branch review, and catalog metadata help govern AI input data. | Partial fit |
| Traceability | Signed commits, events, task records, and branch history can connect data changes to actors and approvals. | Native fit |
| Human oversight | Branch review and merge workflows create a natural human-review point before AI-generated data enters production. | Partial fit |
| Technical documentation | Legra can store and query documentation metadata, data lineage, validation results, and model-context evidence. | Partial fit |
| Legal compliance | Legra can help organize governance records. Legal interpretation, system classification, and evidence of compliance remain organizational responsibilities. | Partial fit |
What Legra can say
Legra helps with the data and knowledge-governance side of AI regulation:
- It can keep training, reference, contextual, and operational knowledge in governed workspaces.
- It can record where data came from and which branch or commit was used.
- It can validate data before it is promoted into production use.
- It can separate AI-generated changes from accepted production facts.
- It can preserve evidence for review, audit, and incident analysis.
Assessment boundary
EU AI Act obligations depend on the role of the organization, the AI system's risk category, the sector, and the full technical and legal documentation set. Legra can provide a governed knowledge layer, version history, and change records, but classification, conformity assessment, and provider or deployer obligations remain buyer responsibilities.