Cambridge
Academy
In London

Introduction

AI enables real-time compliance monitoring, fraud detection, and regulatory reporting. This course equips legal professionals to apply AI in regulatory law and compliance management.

Objectives

- Understand AI in risk and compliance monitoring.

- Learn to detect fraud, AML, and regulatory violations with AI.

- Use AI for compliance reporting automation.

- Manage ethical and privacy concerns in compliance AI.

Audience

- Compliance officers

- Legal advisors

- Financial sector lawyers

- Risk managers

5-Day Outline

Day 1: AI in Legal Compliance

- The role of AI in compliance frameworks

- Tools: Ayfie, Relativity Trace, Theta Lake

- Use cases in financial and healthcare compliance

- AI in AML (Anti-Money Laundering) monitoring

- Case study: AI for compliance in banking

Day 2: Fraud Detection with AI

- AI for detecting suspicious transactions

- Red flag patterns and anomaly detection

- Machine learning for fraud case prediction

- Demo: AI-driven fraud detection tool

- Exercise: Identify compliance risks with AI

Day 3: AI in Regulatory Monitoring

- AI tools for monitoring regulatory changes

- Automating compliance updates

- Comparing global regulations using AI

- Case study: AI in GDPR & data protection compliance

- Workshop: Regulatory monitoring simulation

Day 4: Automated Compliance Reporting

- AI for real-time compliance dashboards

- Automating risk reports with AI

- Visualizing compliance data with AI tools

- Group exercise: Draft an AI-generated compliance report

- Peer review of reports

Day 5: Ethics & Future Trends

- Data privacy concerns in compliance AI

- Preventing bias in compliance monitoring

- AI regulations and governance frameworks

- Group project: Build an AI compliance model

- Wrap-up & future outlook