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GAICC Certified AI Law & Compliance Professional (GAICC-CAILCP)

Master AI governance, multi-jurisdictional regulatory compliance, and the practical application of AI in legal practice — from the EU AI Act and NIST AI RMF to emerging AGI governance.

Last Updated: March 2026
Pre-Course + 2 Days
English

Certification Trusted by Professionals at:

AI Certification Council

4.8 / 5.0 Rating
28,885+

Students

Our training programs are CPD Accredited by CPDSO

GAICC Certified AI Law & Compliance Professional

  • Exam Details: 60 scenario-based MCQs (online proctored)
  • Duration: 90 minutes
  • Passing score: 70%
  • No negative marking
  • Eligibility: Completion of the GAICC-CAILCP programme (24–26 contact hours) or equivalent GAICC-approved training
  • Requirements: Bachelor’s degree + 3 years experience OR secondary qualification + 5 years experience (recommended)
  • Certification: GAICC Certified AI Law & Compliance Professional
  • Validity: 3 years (renewable with 60 CPD credits)
  • Digital Certificate & Badge: Secure, verifiable, and shareable

Exam Content Outline (ECO)

Download the GAICC-CAILCP Examination Content Outline for details about the exam, eligibility, domains, and the application process.
Download
Candidate Handbook

Career Opportunities

The GAICC-CAILCP equips you for high-demand roles at the intersection of AI, law, and governance.

Potential Roles After Certification:

  • AI Governance & Compliance Counsel - Lead AI regulatory compliance across jurisdictions, advising organisations on EU AI Act, NIST AI RMF, and global frameworks.
  • Chief AI Compliance Officer Design and oversee enterprise-wide AI governance programmes, reporting directly to boards and C-suite.
  • AI Risk & Regulatory Consultant Advise multinational clients on AI risk classification, liability exposure, and cross-border compliance strategy.
  • Data Protection & AI Ethics Officer Ensure AI systems meet data protection, fairness, transparency, and accountability requirements globally.
  • In-House AI Legal Counsel Advise technology companies on AI product liability, vendor risk, intellectual property, and regulatory obligations.
  • GRC Professional (AI Specialisation) Build AI risk registers, incident response protocols, and governance structures within enterprise risk management frameworks.
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GAICC Certified AI Law & Compliance Professional

Issued By Global AI Certification Council

Prepare for your GAICC Certified AI Law & Compliance Professional certification with this course

Course Description

Prepare for Your GAICC-CAILCP Certification

GAICC Certified AI Law & Compliance Professional Course

The GAICC-CAILCP Course is a practitioner-level, forward-looking programme designed for legal and compliance professionals operating in an increasingly complex global AI regulatory landscape. Built around the mantra “AI for Lawyers. Laws for AI”, this programme delivers dual competency: mastering the laws governing AI systems, and leveraging AI tools to transform legal practice.

The programme combines mandatory pre-course self-study (8–10 hours) with two intensive live training days covering 12 modules across 8 domains — from multi-jurisdictional regulatory analysis and technical risk architecture to hands-on AI policy drafting, crisis simulation, and emerging AGI governance.

  • Key Skills You’ll Gain
  • Multi-Jurisdictional Regulatory Analysis Navigate the EU AI Act, US enforcement landscape, UK pro-innovation model, APAC frameworks, and Middle East positioning simultaneously.
  • Technical-Legal Risk Mapping - Translate AI failure modes (bias, hallucination, drift, agentic risk) into concrete legal exposure categories.
  • AI Policy & Contract Drafting -Draft enforceable AI governance policies, vendor due diligence clauses, and incident response protocols.
  • Practical AI for Legal Work - Use AI tools for legal research, contract review, and drafting with appropriate guardrails and privilege protection.
  • Crisis & Incident Governance - Execute structured incident response under time pressure with real-time governance decision-making.
  • AGI & Future Governance - Evaluate governance frameworks for increasingly autonomous systems, alignment risk, and board-level strategic advisory.
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This Course includes:

  • 12 Modules + 2 Pre-Course Modules
  • 24–26 Total Learning Hours
  • 16 CPD/PDU Hours on Completion
  • Certificate of Completion
  • Exam Simulator Access
  • 1 Exam Voucher Included
  • Digital Certificate & Badge
  • Drafting Templates & Policy Toolkits

Who Is This Certification For?

  • Lawyers and legal practitioners advising on AI governance, regulatory compliance, or technology transactions.
  • Compliance officers and GRC professionals responsible for AI risk management and regulatory alignment.
  • Data protection officers (DPOs) navigating the intersection of AI, privacy law, and data governance.
  • In-house counsel and legal operations professionals building AI governance programmes within organisations.
  • Risk managers and internal auditors assessing AI systems for legal, ethical, and regulatory exposure.
  • Policy professionals and regulatory advisors shaping AI governance frameworks and industry standards.

Practical Outcomes You’ll Achieve

By the end of this course, you will be able to:

  • Conduct extraterritorial exposure mapping for multinational AI deployments across EU, US, UK, APAC, Middle East, and China regulatory frameworks.
  • Translate AI technical failure modes bias, hallucination, drift, agentic risk into concrete legal exposure categories using a structured mapping framework.
  • Apply risk classification frameworks across multiple jurisdictions simultaneously and design proportional governance controls that scale with risk level.
  • Use AI tools effectively for legal research, drafting, and contract review while maintaining professional standards, confidentiality, and privilege protection.
  • Draft enforceable AI governance policies and contractual clauses including acceptable use policies, vendor due diligence clauses, and incident response protocols.
  • Execute structured AI incident response including containment, disclosure, regulatory notification, and litigation risk mitigation under time pressure.
  • Analyse AI liability theories and assess executive accountability, insurance gaps, and enforcement trends across jurisdictions.
  • Advise boards and C-suite on AI governance as a strategic function including risk dashboards, maturity assessments, and regulatory readiness scoring.
  • Evaluate governance frameworks for increasingly autonomous AI systems, alignment risk, and legal preparedness for advanced AI capabilities.
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Course Modules

Pre-Course — Mandatory Self-Study (8–10 Hours)

Module A: AI Foundations for Legal Professionals (4–5 Hours)
ML vs generative AI, foundation model lifecycle, RAG & fine-tuning, agentic AI systems, failure modes (bias, hallucination, drift, misuse), model evaluation & red teaming

Module B: Global AI Regulatory Baseline (4–5 Hours)
EU AI Act structure, US regulatory landscape, UK pro-innovation model, APAC & Middle East frameworks, ISO/IEC 42001, NIST AI RMF, cross-border regulatory conflict.

  • Module 1: The Global AI Regulatory Landscape (1.5 Hours)
  • EU AI Act risk classification, US enforcement (FTC, SEC, EEOC), UK regulatory model, APAC frameworks, Middle East positioning, China AI regulation, cross-border jurisdictional conflict.
  • Module 2: Governance-Technical AI Risk Architecture (2.5 Hours)
  • Foundation model risk, training data exposure, model drift, RAG risk, agentic AI accountability, red teaming, model supply chain risk, vendor exposure. Plus: Legal Exposure Mapping Framework — translating every technical failure into legal categories.
  • Module 3: Risk Classification & Proportional Compliance (1.5 Hours)
  • EU AI Act high-risk obligations, global equivalence mapping, compliance-by-design, AI impact assessments (FRIA, AIA), risk documentation standards, proportional governance controls.
  • Module 4: AI Liability & Enforcement (1 Hour)
  • Civil liability models, EU AI Liability Directive, algorithmic negligence, insurance implications, executive accountability, D&O exposure, enforcement case analysis.
  • Module 5: AI Governance Structures (1 Hour)
  • Governance committee design, AI risk registers, policy architecture, vendor oversight frameworks, incident escalation protocols, three lines of defence model.
  • Module 6: Emerging AGI & Alignment Governance (1.5 Hours)
  • Agent autonomy spectrum, the alignment problem, containment vs control, national security dimensions, AI constitutional risk, liability shift analysis, international governance coordination.
  • Module 7: AI in Legal Practice (1.5 Hours)
  • Prompt engineering for legal tasks, legal drafting augmentation, AI contract review workflows, litigation support, hallucination control, data sanitisation, privilege protection.
  • Module 8A: AI Risk Assessment Workshop (2 Hours)
  • Four scenario-based exercises: healthcare AI deployment, generative AI in HR recruitment, cross-border LLM API integration, AI agent in financial trading. Structured methodology for risk identification, classification, and control recommendations.
  • Module 8B: AI Ethics, Bias & Fairness Deep Dive (1 Hour)
  • Fairness frameworks (demographic parity, equalised odds, individual fairness), lifecycle bias auditing, regulatory approaches to algorithmic fairness, transparency & explainability obligations, operationalising ethical AI governance.
  • Module 9: Drafting AI Policies & Clauses (1.5 Hours)
  • AI Acceptable Use Policy, Vendor Due Diligence Clause, Governance Charter, Model Documentation Requirements, Incident Response Clause, AI Representations & Warranties. Deliverable: Policy document & contractual clauses.
  • Module 10: Crisis & Incident Governance (1.5 Hours)
  • AI bias incidents, hallucinated advice, data leaks, deepfake harm, autonomous agent loss. Legal response sequencing: containment → disclosure → regulatory notification → litigation risk mitigation. Includes: Live tabletop crisis simulation.
  • Module 11: Strategic AI Governance for Executives (1 Hour)
  • AI risk dashboards, governance maturity mapping, regulatory readiness scoring, AI risk appetite definition, capital allocation implications, board reporting templates.
  • Module 12: Capstone Scenario Review (1 Hour)
  • Integrated scenario combining AGI-like autonomous system, multi-jurisdiction exposure, vendor integration, executive oversight failure, active crisis, and ethical dimensions. Full governance response exercise.

Exam Domain Weighting

60 scenario-based questions across 8 domains. All questions require application of knowledge to multi-dimensional situations — not definition recall.
Domain Weight
I. Global AI Regulatory Landscape 18%
II. Governance-Technical AI Risk 18%
III. Risk Classification & Compliance 15%
IV. AI for Lawyers Practical Skills 14%
V. Liability & Enforcement 10%
VI. Policy & Governance Structures 10%
VII. AGI & Future Governance 10%
VIII. Ethics, Bias & Fairness 5%
Total 100%
4.8 / 5.0 Rating

Trusted by Professionals Across IT, AI & Other Industries

Rahul Sharma

⭐⭐⭐⭐⭐

This course gave me a clear understanding of how global AI regulations translate into real legal and compliance risks. The practical workshops on policy drafting and incident governance were extremely valuable.

Emily Thompson

⭐⭐⭐⭐⭐

A very well-structured programme that connects AI technology with legal accountability. The modules on risk classification and cross-border regulatory exposure were particularly helpful for advising multinational organisations.

Brandon

⭐⭐⭐⭐⭐

The course provided practical insights into how lawyers can actually use AI tools while maintaining professional standards and confidentiality. The legal risk mapping framework was one of the most useful parts for my work.

James Walker

⭐⭐⭐⭐⭐

I appreciated the global perspective of this programme. Understanding how different jurisdictions approach AI regulation and governance helped me better advise clients operating across multiple markets.

Cersei Paul

⭐⭐⭐⭐⭐

The crisis simulation and governance exercises were excellent. They helped me understand how organisations should respond to AI incidents, including disclosure, regulatory notification, and liability considerations.

Oliver Bennett

⭐⭐⭐⭐⭐

This certification goes beyond theory and focuses on real-world AI governance challenges. The coverage of ethics, bias, and emerging AGI governance made the course both practical and forward-looking.

Everything Included: Course + CPD/PDU Credit + Exam

GAICC Certified AI Law & Compliance Professional

(Pre-Course + 2 Days — 16 CPD/PDUs on completion)

What's included?
  • 90/180/360-day access
  • All video lessons/tutorials
  • Pre-course self-study modules
  • Exam simulator access
  • Certificate of completion
  • 1 exam voucher included
  • Digital certificate + badge provided
  • Policy drafting templates & toolkits

Member Price

$2794

Full Price

$2995

Book Your Seat Now

US$99 is included in the above member price.

Have Questions?

Frequently asked question.

It is a practitioner-level, internationally respected credential that validates the competence of legal and compliance professionals in AI governance, multi-jurisdictional regulatory compliance, technical risk assessment, and practical AI application in legal practice.

Yes, GAICC is accredited by the CPD Standard Office (CPDSO), United Kingdom.

Yes. The GAICC-CAILCP certification is validated by The CPD Standard Office, UK, and is designed for professionals operating across global jurisdictions. The curriculum covers EU, US, UK, APAC, Middle East, and China regulatory frameworks.

Applicants must meet education, experience, and training criteria. Bachelor’s degree + 3 years of relevant experience, OR secondary qualification + 5 years of experience. Plus completion of the GAICC-CAILCP programme (24–26 contact hours) or equivalent approved training.
The exam consists of 60 scenario-based multiple-choice questions to be completed in 90 minutes, delivered through the GAICC Online AI-Proctored Testing Platform. The passing score is 70% with no negative marking.
You will receive 16 CPD/PDU hours upon completion of the course.

GAICC members are eligible for one free exam retake within 12 months of their initial attempt. If you do not pass the certification exam on your first attempt, you may retake it at no additional cost.

The certification is valid for 3 years. Renewal requires a minimum of 60 CPD hours across four categories: Professional Learning (20 hrs), Practical Application (20 hrs), Contribution & Knowledge Sharing (10 hrs), and Elective Activities (10 hrs).
Yes. You may attend the GAICC-CAILCP course to gain knowledge and CPD/PDUs without attempting the certification exam.
The GAICC-CAILCP is specifically designed for legal and compliance professionals and covers AI law, multi-jurisdictional regulation, liability, and practical legal AI skills. The ISO/IEC 42001 certifications focus on implementing and auditing AI Management Systems. They are complementary credentials — many professionals hold both.
Lead Instructor & AI Governance Expert

Dr Faiz Rasool

Director at the Global AI Certification Council (GAICC) and PM Training School

Linkedin-in

A globally certified instructor in ISO/IEC, PMI®, TOGAF®, SAFe®, and Scrum.org disciplines. With over three years’ hands-on experience in ISO/IEC 42001 AI governance, he delivers training and consulting across New Zealand, Australia, Malaysia, the Philippines, and the UAE, combining high-end credentials with practical, real-world expertise and global reach.

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Start Your GAICC Certified AI Law & Compliance Professional certificate Today

4.8 / 5.0 Rating
  • Specialise in AI Law and Regulatory Compliance
  • Advise Businesses on Responsible AI Use
  • Future-Proof Your Legal and Compliance Career
  • Land High Demand AI Governance Roles

Self-Paced Course fee

Member Price

$2794

Full Price

$2995

Membership Fee US$99 is included in the above member price.

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