Legal Department in the EU AI Act: What Are the Responsibilities?

Legal Department in the EU AI Act: What Are the Responsibilities?

What is the EU AI Act and why the legal department is fundamental

The European Union Artificial Intelligence Act (EU AI Act) has completely transformed the AI governance landscape in Europe since its entry into force. In 2026, this legislation continues to be one of the main challenges for companies of all sizes, requiring a strategic and specialized approach to ensure compliance.

The legal department emerges as the protagonist in this context, assuming responsibilities that go far beyond legal interpretation. These professionals have become true architects of AI governance, developing internal policies, guiding processes and ensuring that the company operates within the parameters established by the European AI Office.

The complexity of the EU AI Act lies not only in its articles, but in the practical application of concepts such as:

• Risk assessment
• Transparency obligations
• Human oversight

Every business decision involving AI systems requires careful legal analysis, from initial development to deployment and monitoring.

For legal departments, understanding these nuances means the difference between safe operation and fines that can reach up to €35 million or 7% of annual global turnover. The trends of 2026 show that organizations with well-prepared legal teams not only avoid penalties, but also gain competitive advantage through stakeholder trust and regulatory certainty.

Main responsibilities of legal in implementing the EU AI Act

The legal department assumes a central role in implementing the EU AI Act, acting as guardian of legal compliance within the organization. In 2026, these responsibilities have become even more critical, considering the maturation of the law's application and the increase in regulatory enforcement.

Legal Interpretation and Application

The first responsibility is to interpret and apply the legal provisions of the EU AI Act to the specific context of the company. This includes:

• Analyzing which risk categories apply to each AI system
• Defining the legal foundations for development and deployment
• Ensuring that all activities comply with the principles established in the regulation

Document Drafting and Review

Another essential function is drafting and reviewing legal documents related to AI governance. Legal must create:

• Clear AI policies
• Updated terms of use
• Contracts with suppliers that include AI compliance clauses
• Agreements for international transfers when necessary

Compliance Procedures

The department is also responsible for establishing procedures to meet transparency and documentation obligations, such as:

• Maintaining technical documentation
• Conducting conformity assessments
• Implementing quality management systems

This involves creating efficient internal workflows and defining timelines that meet legal requirements.

Investigation Preparedness

Finally, legal must prepare the organization for possible investigations by competent authorities, maintaining adequate documentation and establishing protocols for responding to AI incidents that may result in harm or non-compliance with the regulation.

AI system mapping and risk classification: the lawyer's role

The mapping and risk classification of AI systems represents one of the most strategic activities of the legal department in implementing the EU AI Act. In 2026, this function has become even more critical with the exponential increase in AI systems deployed by organizations.

Complete System Inventory

The lawyer must conduct a complete inventory of all AI systems developed, deployed and used by the company. This includes identifying:

• The intended purposes
• The types of AI technologies used
• The data processed
• The stakeholders involved

It is essential to also map the lifecycle of these systems from development to decommissioning.

Risk Classification Process

Proper risk classification of AI systems determines the level of regulation required and the applicable legal obligations. High-risk AI systems, such as those used in critical infrastructure or biometric identification, require strict compliance measures and conformity assessments.

In 2026, automated mapping tools have assisted legal departments, but legal analysis remains essential. The lawyer must evaluate:

• Whether each AI system has adequate risk mitigation measures
• Whether transparency requirements are met
• Whether there is third-party involvement that requires specific contracts

This detailed mapping serves as the basis for preparing technical documentation and demonstrating compliance in potential regulatory inspections by competent authorities.

Drafting compliant AI policies and terms of use

The drafting of compliant AI policies and terms of use represents one of the most technical and strategic responsibilities of the legal department in 2026. These documents are not just legal formalities, but true protection instruments for both the company and affected stakeholders.

Clear and Accessible Language

The legal department must ensure that AI policies are written in clear and accessible language, avoiding technical jargon that might confuse users. In 2026, competent authorities have intensified oversight of transparency in these documents, requiring them to specifically inform:

• What AI systems are used
• For what purposes
• What safeguards are in place

Terms of Use Requirements

Terms of use, in turn, must clearly establish the rules for AI system utilization, always in compliance with EU AI Act principles. It is essential that the legal department keeps these documents updated according to changes in legislation and company practices.

Layered Policy Approach

A recommended practice in 2026 is implementing layered AI policies, where essential information is presented in summary form, with links to more detailed versions. This facilitates user understanding and demonstrates the company's commitment to transparency, significantly reducing the risks of regulatory sanctions.

AI incident management and system failures in 2026

In 2026, AI incident management has become one of the most critical responsibilities of legal departments. With the increasing deployment of AI systems and potential for algorithmic bias or system failures, companies face constant pressure to respond quickly and effectively to any AI-related incident.

Incident Response Planning

The legal department must maintain an updated AI incident response plan, including clear protocols for:

• Identification of incidents
• Containment of system failures
• Communication of harmful outcomes

Notification to competent authorities continues to be mandatory for serious incidents, but transparency expectations have increased significantly.

Enhanced Reporting Requirements

The trends of 2026 show that regulatory bodies are requiring more detailed reports on:

• The causes of AI incidents
• The preventive measures implemented

The legal department needs to work closely with AI development and risk management teams to adequately document each step of the response.

Stakeholder Communication

Additionally, communication with affected individuals must be clear, transparent and in accessible language. It is essential to establish:

• Efficient communication channels
• Training for teams to handle questions from the press and public
• Prior preparation of communication templates
• Designation of qualified spokespersons

These are essential practices to minimize reputational damage.

Relationship with competent authorities and enforcement procedures

The relationship with competent authorities under the EU AI Act represents one of the most critical responsibilities of the legal department in 2026. With the increase in enforcement actions and penalties applied in recent years, establishing efficient communication with regulatory bodies has become essential for corporate compliance.

Enforcement Response Strategy

When competent authorities initiate an enforcement procedure, the legal department must coordinate the organizational response strategically. This includes:

• Collecting and organizing requested documents
• Preparing technical reports
• Monitoring procedural deadlines

Experience has shown that companies with well-prepared legal departments can significantly reduce the time and costs of these procedures.

Sector-Specific Vigilance

In 2026, authorities have intensified their actions in specific sectors such as:

• Healthcare
• Finance
• Autonomous systems

The legal department must stay updated on sectoral guidelines and regulatory precedents to anticipate possible questions. Additionally, it is essential to establish internal protocols for rapid response to notifications, including designation of responsible parties and approval workflows.

Proactive Authority Engagement

Maintaining a direct channel with competent authorities also allows clarification of interpretative doubts before they become compliance problems. Proactive legal departments frequently consult authorities about new projects or significant changes in AI system deployment.

Team training and AI governance culture

The legal department plays a fundamental role in creating an organizational culture focused on AI governance. In 2026, companies that invest in continuous training demonstrate greater maturity in EU AI Act compliance and significant reduction in incidents.

Segmented Training Approach

Training must be segmented by area and hierarchical level:

• Employees who work directly with AI systems need more technical training
• Managers need to understand the strategic and financial impacts of violations

Legal must develop specific materials for each audience, using accessible language and practical cases.

Continuous Learning Programs

Periodicity is crucial to keep the culture alive:

• Quarterly update sessions
• Workshops on new procedures
• AI incident simulations

These keep teams prepared. In 2026, digital microlearning tools have proven effective for continuously reinforcing concepts.

Safe Reporting Environment

The legal department must also establish clear communication channels for questions about AI governance. Creating an environment where employees feel safe to report possible violations is essential for preventing larger problems.

Monitoring training effectiveness through practical assessments and behavioral indicators ensures that investment in training generates concrete results in AI system governance.

Current challenges of legal compliance in AI governance

The legal compliance landscape in AI governance has become increasingly complex in 2026. With the constant evolution of jurisprudence and the significant increase in enforcement by competent authorities, legal departments face unprecedented challenges in implementing and maintaining EU AI Act compliance.

Regulatory Evolution Challenges

One of the main obstacles is the need to interpret regulations that are frequently updated. Companies need to follow not only changes in the law, but also:

• Understandings consolidated by courts
• Specific guidelines published by regulatory authorities

This requires constant technical training of legal teams.

Incident Management Pressures

AI incident management represents another major challenge. In 2026, we observed a 40% increase in reported AI system failures, requiring legal departments to develop more agile and efficient response protocols.

Time pressure for notifications to authorities and affected individuals creates an intense work environment and demands well-structured processes.

Stakeholder Transparency Demands

Additionally, growing awareness of stakeholders about AI risks has generated a higher volume of requests for information and transparency. Managing these demands within legal deadlines, while maintaining response quality, has become a true test for the operational efficiency of legal teams.

How to structure an efficient legal department for the EU AI Act

Structuring an efficient legal department for the EU AI Act in 2026 is not just a matter of compliance, but a strategic competitive advantage. Companies that invested in solid AI governance structures managed not only to avoid multi-million fines, but also to build greater trust with customers and partners.

Three Fundamental Pillars

The success of this structuring depends on three fundamental pillars:

• Trained people
• Well-defined processes
• Adequate technology

Without any of these elements, the company becomes vulnerable to incidents that can cost much more than the initial investment in compliance.

Proven Results

The trends of 2026 show that companies with legal departments specialized in the EU AI Act:

• Process stakeholder requests 60% faster
• Have 40% fewer AI incidents

This demonstrates that investment in structure pays for itself quickly.

Call to Action

Now is the time to act. Start by:

1. Evaluating your current structure
2. Identifying the main gaps
3. Developing a gradual implementation plan

Remember: each day of delay in EU AI Act compliance represents a growing risk for your business. Invest in structuring your legal department and transform AI governance into a competitive advantage for your company.