AI Litigation & Governance

Legal support in AI Litigation & Governance is a comprehensive set of legal and organizational measures aimed at reducing regulatory, litigation, and reputational risks associated with the deployment of artificial intelligence systems, while ensuring procedural and evidentiary readiness in the event of disputes, complaints, or regulatory investigations.

This is not merely formal compliance. It is the strategic development of governance frameworks that integrate technical controls, internal procedures, and legal documentation to protect businesses against AI bias claims, discrimination lawsuits, regulatory sanctions, and reputational damage.

AI-related risks arise at the intersection of technology, law, and ethics. Algorithmic decision-making may result in indirect discrimination (even if unintended), lack of explainability complicates the defense of corporate decisions, and regulatory frameworks such as the EU AI Act and sector-specific regulations impose complex compliance obligations with substantial penalties for non-compliance.

Moreover, AI systems often function as “black boxes,” even for their operators — creating additional evidentiary challenges in disputes.

The GOLAW team provides an integrated approach:

• Conducting AI risk assessments and risk-level classification
• Coordinating technical bias audits and delivering legal interpretation of findings
• Designing governance frameworks (policies, procedures, roles, change controls)
• Preparing businesses for the EU AI Act and other regulatory regimes
• Ensuring dispute readiness (explainability protocols, evidentiary packages, response playbooks)
• Representing clients in disputes, investigations, and regulatory negotiations

What we do

• AI risk assessment and classification based on use case, data sources, model architecture, and deployment context
• AI bias audit coordination (with technical auditors) and legal interpretation of results to assess discrimination and litigation risks
• Development of governance frameworks: policies, accountability structures, change management controls, documentation, and third-party oversight
• Preparation for EU AI Act and related regulatory regimes (where applicable), including contracts and internal procedures
• Dispute readiness: evidentiary preparation, explainability protocols (XAI), response playbooks for various risk scenarios
• Defense in disputes and regulatory investigations, including communication with DPAs and other supervisory authorities
• Team training and development of an internal responsible AI culture