AI Transparency & Governance
Legalithm publishes transparent information on how AI-assisted workflow outputs are generated, reviewed, and governed under AI Act and GDPR-aligned practices.
Highlights
- • AI-assisted classification outputs include rationale and legal references.
- • Documentation templates aligned to Annex IV-style structure are available.
- • Human-in-the-loop oversight enforced for any automated decisions.
Contact
For AI governance questions, email ai-governance@legalithm.com or contact us to request additional transparency documentation.
AI Transparency & EU AI Act Compliance
Legalithm documents AI-assisted workflow behavior to support EU AI Act transparency, risk management, and human oversight expectations.
Model Inventory & Risk Classification
- AIAI-assisted classification supports unacceptable, high, limited, and minimal risk outcomes.
- AIResults include rationale and legal references for reviewer validation.
- AIWorkflow outputs are designed for operational use, not final legal determination.
Human Oversight & Evaluation
- AIEvery AI output requires human review prior to enforcement.
- AICritical decisions should be validated by qualified legal/compliance stakeholders.
- AITransparency language is included across user-facing AI output touchpoints.
Transparency & Documentation
- AIAI usage and limitation disclosures are surfaced in product flows.
- AIDocumentation outputs include context for legal and procurement review.
- AIPolicies are maintained on trust and legal pages for external verification.
AI Incident Response
Legalithm maintains documented incident response playbooks, including escalation paths, communication plans, and remediation procedures. Incident communication and follow-up are handled according to severity and applicable legal obligations.