Cambridge
Academy
In London

Introduction

As AI expands in the legal field, ethical and regulatory questions grow. This course provides legal professionals with an understanding of AI governance, liability, and regulation.

Objectives

- Learn ethical frameworks for AI in legal practice.

- Explore global AI regulations and governance.

- Understand liability and accountability of AI errors.

- Evaluate the lawyer’s role in shaping AI policy.

Audience

- Legal policymakers

- Ethics committees

- Academics & researchers

- Lawyers interested in AI regulation

5-Day Outline

Day 1: Introduction to AI Ethics in Law

- Core principles of AI ethics (transparency, fairness, accountability)

- Risks of algorithmic bias in legal AI

- Case studies of ethical AI failures in law

- Human vs. AI responsibility in legal services

- Discussion: Should AI be allowed to practice law?

Day 2: Global AI Regulations

- Overview of EU AI Act and implications for law

- AI regulations in the US, UK, and Asia

- AI in data protection (GDPR focus)

- Comparative study: AI laws across jurisdictions

- Exercise: Analyze an AI regulation case study

Day 3: Liability & Accountability

- Who is responsible for AI legal errors?

- AI and malpractice liability

- Judicial review of AI-generated legal opinions

- Real-world cases of AI legal disputes

- Workshop: Draft a liability clause for AI tools

Day 4: Governance & Responsible AI Use

- Building AI governance frameworks for law firms

- Codes of conduct for legal AI tools

- Auditing AI tools for fairness and compliance

- Best practices for ethical AI use in legal practice

- Simulation: Design an AI governance framework

Day 5: Future Policy Directions

- Role of lawyers in shaping AI laws

- The UN, OECD, and global AI initiatives

- Debate: Should AI be given legal personhood?

- Group project: Draft a model AI law for legal services

- Wrap-up & certification