AI Governance for Lawyers - A Bite-Sized Guide to Policies, Risk & Oversight

Introduction

AI governance is becoming a board-level priority. While many organisations have focused on understanding their obligations under the EU AI Act, compliance alone is not enough. Boards, General Counsel and legal teams are increasingly expected to put practical governance arrangements in place that enable responsible AI adoption while managing legal, ethical and operational risks.

The challenge is turning AI principles and regulatory requirements into workable governance processes. Organisations need clear policies, defined responsibilities, proportionate risk assessments and effective oversight to ensure AI is being adopted safely, consistently and in line with business objectives.

This practical short webinar will provide a clear framework for building an effective AI governance programme. Using realistic examples and practical governance tools, delegates will explore how to develop AI policies and documentation, assess and manage AI risks, support AI procurement decisions, establish appropriate approval and oversight processes and provide meaningful reporting to senior management and boards.

You will leave with practical approaches you can apply within your own organisation, helping you move beyond AI compliance towards a governance framework that supports responsible, controlled and commercially effective AI adoption.

What You Will Learn

The webinar will cover the following:

• Building an effective AI governance programme - establishing clear roles, responsibilities and accountability and integrating AI governance into existing corporate governance structures
• Developing practical AI policies and governance documentation - drafting effective AI acceptable use policies, governance frameworks and approval processes, with appropriate oversight and review mechanisms
• AI procurement and risk assessment - conducting proportionate AI procurement due diligence and identifying, assessing and managing key legal, regulatory, ethical and operational risks
• Board oversight and practical governance tools - reporting AI risks effectively to boards and senior management, monitoring AI use throughout its lifecycle and applying practical checklists, frameworks and templates