Bird & Bird AI Legal Masterclass
Artificial intelligence is fundamentally transforming how organisations operate. Beyond automation and efficiency gains, it’s reshaping work processes, disrupting established business models, and enabling new ways to innovate and generate value.
With this transformation comes complex legal challenges around data usage, intellectual property rights, liability, and regulatory compliance. Our AI Legal Masterclass equips you with clear, practical insight into how AI generates commercial value, where the legal risks sit, and how to deploy AI in a way that is lawful, secure, and supported by robust governance.
Who should attend?
This masterclass is designed for professionals responsible for managing or advising on the legal and ethical dimensions of AI, including:
- Lawyers and legal counsel
- Compliance officers
- Information security specialists
- Decision-makers overseeing AI implementation
What you will gain
Bird & Bird's AI Legal Masterclass provides a solid professional foundation and practical tools to help you:
- Understand regulatory requirements for AI systems, including risk classification, security obligations, and data governance
- Identify legal issues in AI deployment before they escalate into compliance challenges
- Apply practical frameworks you can use immediately in your organisation
Why choose our masterclass?
Participants will benefit from:
- Practical expertise: robust, business-relevant insight, strengthening both your technical understanding and legal judgement in the AI domain.
- Strategic AI adoption: a clear view on how AI presents both opportunity and risk in driving innovation, efficiency, and business development within current and emerging regulatory frameworks.
- Proactive risk management: structured approaches to identifying, assessing, and mitigating legal risks inherent in AI implementation before becoming compliance issues.
- World-class instruction: sessions led by leading legal specialists advising businesses and governments at the forefront of AI law.
- Certificate of attendance: a certificate of attendance upon completion of the modules and assessments, documenting your enhanced competencies.
- Flexible delivery: online sessions delivered live and recorded, enabling you to complete the training wherever and whenever suits your schedule, plus a hybrid in-person event at our London office.
Arrangement
- The masterclass consists of three online modules and one hybrid session, designed for focused and flexible learning. Attend live or access the recordings at your convenience.
- You will be taught by our leading experts in AI law. Certification requires attendance at a minimum of three of the four modules and successful completion of post-session assessments.
- Participants will have access to a dedicated digital portal containing all materials and presentations.
Price
£300 excl. VAT
Early Bird - save 20%
Sign up for our masterclass before Friday 6 March and get the discount.
Details of the programme:
Online: Wednesday 15 April 2026 at 08:30-09:30 BST
This module offers a valuable opportunity to develop both practical and strategic insight into how to effectively navigate contracts for the provision of AI systems.
This module provides:
- Grounding in why contracts for AI systems need to be considered differently from other technology agreements and what the key areas of difference are.
- An in-depth analysis of critical contract provisions, exploring the different positions customers and suppliers might seek to take.
- Hands-on, practical guidance for working with AI contracts, including how to identify potential issues, key questions to ask, options for addressing challenges, and examples of relevant clause language.
Experts include:
Will Bryson, Partner, UK
Ian Edwards, Partner, UK
Online: Wednesday 22 April 2026 at 08:30-09:30 BST
Organisations today rarely operate solely within a single region. Corporate structures, customer bases, and supply chains often span multiple continents leading to multiple legal systems and AI regulatory approaches.
This module offers a clear and practical overview of the UK and EU AI regulation, highlighting the key similarities and differences in their regulatory approaches.
This module provides:
- A comprehensive exploration of the evolving AI regulatory framework in the UK, including a comparison of the differences with the EU approach to AI regulation.
- A detailed overview of the EU AI Act, including its impacted on tech and non-tech businesses and how it may be developed over the next couple of years.
- An examination of high‑risk cross‑border considerations, such as IP protection, data transfers, and export controls, particularly when training data is sourced in one jurisdiction and deployed in another.
Experts include:
Kate Deniston, Knowledge Lawyer, UK
Dr. Miriam Ballhausen, Partner, Germany
Online: Wednesday 29 April 2026 at 08:30-09:30 BST
As AI becomes embedded in the way we work and the services in the market, it brings a range of complex intellectual property challenges. Understanding how IP rights apply to the use and creation of AI technologies is therefore essential.
This module provides:
- A solid grounding and overview of the key legal frameworks in the relationship between IP rights and AI, focusing on key areas such as copyright, database rights, image rights, patents, trademarks, and design protection.
- A detailed examination of the IP challenges posed by AI, including questions of ownership, originality, and the use of protected material in training and outputs of AI models.
- Discussion of practical examples such as use of generative AI outputs in marketing materials and use of AI coding tools in software development.
Experts include:
Nick Aries, Partner, UK
Toby Bond, Partner, UK
Hybrid: Wednesday 7 May 2026 at 15:00-19:00 BST (In-person event held in London)
The relationship between personal data and AI can span the full lifecycle of an AI system - from model training, to the deployment of AI systems to end users, right through to how end‑users interact with AI systems.
This module explores the relationship between AI and data protection law, highlighting the areas where AI presents distinctive compliance challenges, including the identification of appropriate legal bases, for processing, the use of AI in decision‑making, engineering data subject rights into AI systems, and requirements for risk assessments.
You will develop a clear understanding of how to approach data security in an AI context. The module equips you to identify, prevent, and mitigate data‑related risks throughout the entire AI system lifecycle. For both organisations and AI vendors, understanding how these regulatory frameworks overlap is essential.
This module provides:
- A solid understanding of how AI affects GDPR compliance, including during the development and operation of AI systems, in automated decision‑making, and in meeting accountability requirements.
- A focus on particular challenges posed by the GDPR in this context, such as addressing data subject rights.
- Practical guidance to help navigate data protection compliance when developing, procuring and deploying AI systems on risk‑assessment approaches
Experts include:
Alex Jameson, Senior Associate, UK
Dr. Nils Lölfing, Senior Counsel, Germany
Keynote speaker to be confirmed.