Legal and Contractual Considerations in AI Workflows

Navigate third-party tools, licenses, and liability in GenAI use.

Pillar

Process – Workflow, Governance, Risk & Efficiency

Overview

This course provides a comprehensive understanding of the legal and contractual issues involved in integrating Generative AI into business workflows. Participants will learn how to manage third-party vendor agreements, intellectual property concerns, compliance requirements, and liability risks associated with AI usage.

Learning Objectives

Participants will be able to:

• Understand legal frameworks governing AI technologies and data use

• Navigate licensing agreements and third-party AI tool contracts

• Identify liability risks in AI-generated outputs and decisions

• Develop policies to ensure compliance with regulations and contracts

• Manage intellectual property rights related to AI workflows

Target Audience

• Legal and compliance professionals

• Contract managers and procurement teams

• AI project managers and IT leaders

• Risk management and governance officers

Duration

20 hours over 4 days (5 hours per day)

Delivery Format

• Expert-led lectures and case study reviews

• Contract analysis workshops

• Group discussions and scenario planning

Materials Provided

• Sample contracts and licensing templates

• Legal risk assessment checklists

• Compliance guidelines for AI workflows

• Certificate of completion

Outcomes

• Confidently manage legal risks in AI implementation

• Structure clear and protective AI-related contracts

• Ensure regulatory compliance across AI workflows

• Mitigate liability through proactive governance

Outline / Content

Day 1: Legal Landscape of AI Technologies

• Overview of AI-related laws and regulations

• Data privacy, security, and IP considerations

• Emerging legal challenges in GenAI use

Day 2: Managing Third-Party AI Tools and Licenses

• Reviewing and negotiating AI software licenses

• Vendor risk management and due diligence

• Contract clauses for AI-specific risks

Day 3: Liability and Risk Mitigation

• Understanding liability in AI-generated content and decisions

• Developing internal policies to limit exposure

• Case studies of AI legal disputes

Day 4: Compliance and Governance Frameworks

• Building governance policies for legal compliance

• Monitoring regulatory changes and adapting contracts

• Workshop: Draft contract addenda for AI workflow integration

• Group discussion and Q&A