ON-DEMAND

Across the Channel: An AI Compliance Guide for the UK and EU

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12 May, 2026 | 
3:00 PM UK
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60 mins

Speakers

Ruud-van-Herpen
Ruud van Herpen
Chief Legal Officer
Xebia
Lisa Lischak
Lisa Lischak
Divisional General Counsel
DCC
Steve Coope
Steve Coope
Axiom Lawyer
Axiom
Daniel-Hayter
Daniel Hayter
Managing Director & Vice President
Axiom London

If it feels like AI is everywhere, that’s because it is. 88% of businesses have reported using it, and legal-specific adoption in at least some capacity is up to 96%.

The EU has rolled out a prescriptive, enforcement-backed regime through the AI Act, with its biggest compliance deadline hitting this August. Meanwhile, the UK has no binding AI legislation (and won't until late 2026 at the earliest), leaving businesses with European exposure straddling two very different regulatory regimes.

For in-house legal teams, the challenge is scaling AI adoption today while building governance that lasts through tomorrow. This webinar brings together UK and international legal leaders who are living this challenge. We’ll discuss where the regulatory friction shows up first, which common blind spots create real exposure, and what “good enough” looks like when benchmarks are fuzzy. We’ll also share concrete action items so you can leave with something you can act on immediately.

Register today to hear how legal leaders are operationalizing AI compliance across the UK and EU without turning legal into a bottleneck.

Key Takeaways

AI Adoption Is Outpacing AI Governance 

Legal teams are embracing AI quickly, but many organizations are still working out how to govern it at scale. The priority is no longer whether to use AI, but how to use it responsibly, consistently, and defensibly.

The EU AI Act Is Becoming the Global Compliance Baseline

The EU AI Act remains the most prescriptive AI regulatory framework and is likely to shape global compliance programs, much like GDPR did for privacy. Even organizations outside the EU may use it as a benchmark for AI governance.

More Time Does Not Mean Less Urgency

Recent timeline shifts may give businesses more time to comply with certain high-risk AI obligations, but panelists warned against slowing down. Regulators may expect more mature, well-documented programs when deadlines arrive.

Shadow AI Is a Growing Risk

Employees may already be using unauthorized AI tools, including public AI platforms, without legal or security oversight. Companies need clear inventories, approval processes, training, and consequences for misuse.

AI Policies Must Be Practical and Continuously Updated

Static AI policies are not enough in a fast-changing environment. Organizations need living policies that address approved tools, data handling, confidentiality, privilege, cybersecurity risks, training, and escalation paths.

Start With Use Cases, Not Tools

Before buying or building AI solutions, legal teams should map their processes and identify the problems they actually need to solve. Strong AI implementation starts with clear use cases, clean data, and realistic workflows.

Human Judgment Remains Essential

AI can improve speed and efficiency, but it cannot replace legal judgment, negotiation skills, strategic thinking, or professional responsibility. Lawyers still need to understand, review, and challenge AI-generated outputs.

Implementation Requires Real Investment

Purchasing an AI tool is only the beginning. Successful adoption requires data cleansing, playbooks, workflow design, user training, testing, iteration, and cross-functional support from legal, IT, procurement, compliance, and business teams.

Law Firms and ALSPs Have a Bigger Role to Play

Legal teams expect external providers to use AI responsibly, improve efficiency, reduce costs, and help clients test new tools. ALSPs are especially well positioned to support AI-enabled legal transformation through tech-plus-talent models.

The Best Approach Is Intentional Adoption

Panelists emphasized the need to slow down enough to understand the technology, assess risks, and deploy AI where it truly adds value. The goal is not AI for its own sake, but smarter, safer, and more effective legal operations.

Agenda

The EU AI Act and UK regulatory frameworks today

  • Key provisions and enforcement bodies in each jurisdiction
  • The August 2025 high-risk compliance deadline and what it triggers

Where the two regimes create the most friction for in-house teams

  • Navigating the EU's prescriptive requirements alongside the UK's principles-based, sector-led approach
  • Practical tensions when your business has exposure in both markets

Common compliance blind spots

  • Shadow AI usage across business units
  • AI-related gaps in vendor and procurement contracts
  • Internal governance that exists on paper but not in practice

Lessons from GDPR that apply to AI Act readiness

  • What early GDPR implementation got right and wrong
  • How to avoid repeating the same mistakes with AI compliance

Building governance that satisfies both regimes without over-engineering

  • Designing a single compliance structure that covers EU and UK requirements
  • Avoiding duplicative parallel workstreams

90-day action plan

Register Now

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Key Takeaways

AI Adoption Is Outpacing AI Governance 

Legal teams are embracing AI quickly, but many organizations are still working out how to govern it at scale. The priority is no longer whether to use AI, but how to use it responsibly, consistently, and defensibly.

The EU AI Act Is Becoming the Global Compliance Baseline

The EU AI Act remains the most prescriptive AI regulatory framework and is likely to shape global compliance programs, much like GDPR did for privacy. Even organizations outside the EU may use it as a benchmark for AI governance.

More Time Does Not Mean Less Urgency

Recent timeline shifts may give businesses more time to comply with certain high-risk AI obligations, but panelists warned against slowing down. Regulators may expect more mature, well-documented programs when deadlines arrive.

Shadow AI Is a Growing Risk

Employees may already be using unauthorized AI tools, including public AI platforms, without legal or security oversight. Companies need clear inventories, approval processes, training, and consequences for misuse.

AI Policies Must Be Practical and Continuously Updated

Static AI policies are not enough in a fast-changing environment. Organizations need living policies that address approved tools, data handling, confidentiality, privilege, cybersecurity risks, training, and escalation paths.

Start With Use Cases, Not Tools

Before buying or building AI solutions, legal teams should map their processes and identify the problems they actually need to solve. Strong AI implementation starts with clear use cases, clean data, and realistic workflows.

Human Judgment Remains Essential

AI can improve speed and efficiency, but it cannot replace legal judgment, negotiation skills, strategic thinking, or professional responsibility. Lawyers still need to understand, review, and challenge AI-generated outputs.

Implementation Requires Real Investment

Purchasing an AI tool is only the beginning. Successful adoption requires data cleansing, playbooks, workflow design, user training, testing, iteration, and cross-functional support from legal, IT, procurement, compliance, and business teams.

Law Firms and ALSPs Have a Bigger Role to Play

Legal teams expect external providers to use AI responsibly, improve efficiency, reduce costs, and help clients test new tools. ALSPs are especially well positioned to support AI-enabled legal transformation through tech-plus-talent models.

The Best Approach Is Intentional Adoption

Panelists emphasized the need to slow down enough to understand the technology, assess risks, and deploy AI where it truly adds value. The goal is not AI for its own sake, but smarter, safer, and more effective legal operations.

Agenda

The EU AI Act and UK regulatory frameworks today

  • Key provisions and enforcement bodies in each jurisdiction
  • The August 2025 high-risk compliance deadline and what it triggers

Where the two regimes create the most friction for in-house teams

  • Navigating the EU's prescriptive requirements alongside the UK's principles-based, sector-led approach
  • Practical tensions when your business has exposure in both markets

Common compliance blind spots

  • Shadow AI usage across business units
  • AI-related gaps in vendor and procurement contracts
  • Internal governance that exists on paper but not in practice

Lessons from GDPR that apply to AI Act readiness

  • What early GDPR implementation got right and wrong
  • How to avoid repeating the same mistakes with AI compliance

Building governance that satisfies both regimes without over-engineering

  • Designing a single compliance structure that covers EU and UK requirements
  • Avoiding duplicative parallel workstreams

90-day action plan