Course : The AI Act for Legal Professionals: Understanding the European RegulationProvide guidance, ensure security, and support artificial intelligence projects
Practical course - 1d
- 7h00 - Ref. AAL
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 | Interpret the main provisions of the AI Act and their scope of application |
| Classify an AI system according to the risk categories set forth in the regulation |
| Identify the applicable obligations based on the roles of the stakeholders involved in an AI project |
| Analyze the legal risks and key considerations of an artificial intelligence project |
| Draft a legal opinion and assist teams in implementing compliance measures |
Intended audience
In-house counsel, legal managers, compliance lawyers, compliance officers, data protection officers (DPOs), data governance managers, risk managers, and anyone responsible for providing legal support or ensuring the legal compliance of projects that incorporate artificial intelligence systems.
Prerequisites
Prior knowledge of the fundamental principles of AI
Act
.
Act
.
Practical details
Methodological and regulatory insights illustrated with concrete examples from AI projects. Case studies based on real-life situations encountered by legal and compliance departments. Legal analysis workshops, assessment exercises, and internal legal counsel role-playing scenarios. Exchange of experiences and sharing of best practices among participants.
Course schedule
1 Understanding the AI Act and Legally Classifying AI Systems
- Understanding the structure of the regulation and the relationship between its articles, recitals, and annexes
- Identify the different risk categories provided for in the AI Act
- Classify an AI system based on its use, purpose, and deployment context
- Distinguish between the roles of supplier, deployer, importer, and distributor
- Align the requirements of the AI Act with those of the GDPR and other applicable regulations
Hands-on work
Case study in small groups focusing on several real-world applications of AI (AI-assisted recruitment, credit scoring, document generation, conversational AI). Participants analyze each situation, determine the applicable risk category, identify the relevant parties, and justify their legal classification. Group debriefing and discussion of borderline cases encountered.
2 Identify obligations and ensure secure relationships with suppliers
- Analyze the applicable requirements based on the AI system's risk category
- Identify the specific requirements applicable to high-risk systems
- Understanding the Obligations Related to General-Purpose AI (GPAI) Models
- Verify the commitments and warranties provided by AI solution providers
- Assess the contractual responsibilities and risks associated with AI projects
Hands-on work
Pair-based analysis of supplier documentation and contract excerpts related to an AI solution. Participants identify the required information, key regulatory considerations, the respective responsibilities of the parties, and the clauses that need to be addressed. Group debriefing and development of a checklist that can be reused within the company.
3 Support AI projects and provide practical legal advice
- Integrating Legal Analysis into the Lifecycle of an Artificial Intelligence Project
- Developing a Risk Analysis and Compliance Methodology
- Identify warning signs that require escalation or arbitration
- Document the legal analyses and decisions made as part of the project
- Develop recommendations tailored to business, technical, and regulatory challenges.
Hands-on work
Individual and then group role-playing exercises. Participants receive an internal consultation request regarding an AI project currently being rolled out. Based on the information provided, they conduct a structured legal analysis, identify risks, formulate recommendations, and draft a summary report for management. Group debriefing on best practices for advising and documentation.
PARTICIPANTS
In-house counsel, legal managers, compliance lawyers, compliance officers, data protection officers (DPOs), data governance managers, risk managers, and anyone responsible for providing legal support or ensuring the legal compliance of projects that incorporate artificial intelligence systems.
PREREQUISITES
Prior knowledge of the fundamental principles of AI
Act
.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
In-house counsel, legal managers, compliance lawyers, compliance officers, data protection officers (DPOs), data governance managers, risk managers, and anyone responsible for providing legal support or ensuring the legal compliance of projects that incorporate artificial intelligence systems.
PREREQUISITES
Prior knowledge of the fundamental principles of AI
Act
.
TRAINER QUALIFICATIONS
The experts leading the training are specialists in the covered subjects. They have been approved by our instructional teams for both their professional knowledge and their teaching ability, for each course they teach. They have at least five to ten years of experience in their field and hold (or have held) decision-making positions in companies.
ASSESSMENT TERMS
The trainer evaluates each participant’s academic progress throughout the training using multiple choice, scenarios, hands-on work and more.
Participants also complete a placement test before and after the course to measure the skills they’ve developed.
TEACHING AIDS AND TECHNICAL RESOURCES
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
• The main teaching aids and instructional methods used in the training are audiovisual aids, documentation and course material, hands-on application exercises and corrected exercises for practical training courses, case studies and coverage of real cases for training seminars.
• At the end of each course or seminar, ORSYS provides participants with a course evaluation questionnaire that is analysed by our instructional teams.
• A check-in sheet for each half-day of attendance is provided at the end of the training, along with a course completion certificate if the trainee attended the entire session.
TERMS AND DEADLINES
Registration must be completed 24 hours before the start of the training.
ACCESSIBILITY FOR PEOPLE WITH DISABILITIES
Do you need special accessibility accommodations? Contact Mrs. Fosse, Disability Manager, at psh-accueil@orsys.fr to review your request and its feasibility.
This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.
Dates and locations
Dernières places
Date garantie en présentiel ou à distance
Session garantie
This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.