AI in Business: Legal and Regulatory Risk Considerations

Managing Legal Risk in the Use of Artificial Intelligence

Artificial intelligence has rapidly become a standard business tool. Employees routinely use generative systems to draft content, prepare summaries, conduct research and support operational tasks.

In many organisations, however, this adoption takes place without formal internal governance.

The absence of clear rules governing the use of AI tools may expose a company to significant legal and operational risks.

Key risk areas

1. Personal Data Protection (GDPR)Entering customer or employee data into AI systems may result in uncontrolled processing outside the organisation’s direct oversight.

2. Disclosure of Trade SecretsBusiness models, pricing strategies, draft agreements and strategic materials should not be transferred to external platforms without prior risk assessment.

3. Management ResponsibilityThe management board is responsible for proper oversight of operational risk. The lack of an internal AI policy may be interpreted as insufficient governance.

4. Regulatory Exposure (AI Act)Emerging EU regulation on artificial intelligence introduces new compliance obligations for businesses deploying AI systems.

Why Internal Regulation Matters

Clear and proportionate internal rules allow companies to:

• reduce GDPR exposure,

• protect confidential information,

• structure the approval process for AI tools,

• increase employee awareness,

• demonstrate responsible risk management.

This is not about prohibiting AI.It is about structured oversight and accountability.

First Step: Risk Assessment

Every organisation should consider:

• Are AI tools being used in daily operations?

• What type of data is entered into external systems?

• Is there a formal approval process for AI tools?

• Is the board aware of the associated legal implications?

Where these questions remain unanswered, governance gaps are likely to exist.

Summary

AI is becoming embedded in standard business practice.The absence of regulation does not remove liability.

Implementing a structured AI risk management framework enables organisations to benefit from technological innovation while maintaining legal and regulatory control.

At DCMR Legal, we assist businesses in designing and implementing internal AI risk management and governance systems, including policies, procedures and board-level documentation.

If your organisation is currently using AI tools without formal internal regulation, we would be pleased to discuss the appropriate next steps.