AI in the Workplace: Why Employers Must Treat AI Governance as a Legal Issue

AI in the Workplace: Why Employers Must Treat AI Governance as a Legal Issue

Artificial intelligence is rapidly transforming workplace decision-making. Employers are increasingly deploying AI tools to screen candidates, analyse employee performance, monitor productivity, assist with disciplinary processes, and support internal decision-making.

While much of the discussion focuses on efficiency gains, organisations often underestimate the legal and governance implications associated with workplace AI.

Importantly, AI is not simply an HR issue. It sits at the intersection of employment law, data protection, governance, and regulatory compliance.

One of the key challenges is accountability. Where AI influences decisions regarding recruitment, promotion, performance assessment, or termination of employment, employers remain legally responsible for the outcomes. The use of automated systems does not transfer liability to software providers or technology vendors.

Employers should therefore consider several fundamental questions:

• Can employees understand how decisions affecting them are made?

• Is sufficient human oversight built into the process?

• Could the system produce discriminatory or biased outcomes?

• Is employee data being processed lawfully and transparently?

• Are governance responsibilities clearly allocated within the organisation?

These questions are becoming increasingly important as the European regulatory framework evolves. The interaction between employment law, GDPR requirements, and the EU AI Act is creating new compliance expectations for organisations using AI systems in workforce management.

In practice, the greatest risks rarely arise from the technology itself. They arise from inadequate governance, unclear accountability, insufficient transparency, and poor documentation of decision-making processes.

For this reason, organisations should approach workplace AI implementation as a governance project rather than merely a technology initiative. Effective policies, documented oversight mechanisms, employee transparency measures, and clear management accountability are becoming critical components of responsible AI deployment.

As regulatory scrutiny increases, employers that establish robust governance frameworks early will be better positioned to realise the benefits of AI while reducing legal, regulatory, and reputational risk.

About ECOVIS ProventusLaw

ECOVIS ProventusLaw advises employers, fintech companies, regulated financial institutions, and technology businesses on AI governance, employment law, GDPR compliance, workplace monitoring, internal investigations, and digital regulatory frameworks. The firm supports organisations in implementing AI-driven solutions while managing legal, regulatory, governance, and reputational risks arising from workforce management and data processing activities.

About the Author

Loreta Andziulytė is a Partner and Attorney-at-Law at ECOVIS ProventusLaw, heading the firm’s Data Protection, Employment, and Corporate Commercial teams. She has over 20 years of experience advising on employment law, data protection, AI governance, GDPR compliance, corporate governance, and regulatory matters affecting regulated and technology-driven businesses.

Loreta advises employers, fintech companies, and regulated financial institutions on cross-border employment issues, workplace governance, employee monitoring, internal investigations, and the legal implications of AI and digital tools in HR and workforce management.

She is ranked in FinTech Legal by Chambers and Partners (2020, 2023–2026) and recognised by The Legal 500 in FinTech, Employment, TMT, and Dispute Resolution (2019–2025). Loreta is a Certified Data Protection Expert (CIPP/E).