Why ignoring AI legal risks could cost your business millions

That’s exactly why our CEO, Damon Neale, sat down for an episode of Pulsecast, hosted by Lorenzo Zanni, lead consultant at Dovetail Creative, where Damon discusses the legal risks around AI and why so many businesses are unknowingly putting themselves at serious financial and reputational risk.

If you’re using AI in your workflows (and let’s be honest, most companies are), you need to understand the legal tripwires that can come with it. This podcast episode breaks it all down.

Businesses Are Already Getting Hit and Here’s Why

During the podcast, Damon shares real-life examples of companies that end up in hot water because they don’t think through how their teams are using AI.

One standout case: an employee at Samsung got caught pasting confidential code into ChatGPT. What happens next? That data ends up in OpenAI’s training data, meaning competitors could (and did) stumble across it later on. That’s the kind of simple, everyday mistake that can turn into a legal nightmare and it’s happening more often than you’d think.

It’s not just employees accidentally exposing IP either. A lot of AI vendors are quietly using client data to train their models without always getting clear permission. If your data is being fed into someone else’s system, you might not just lose control of it — you could also be breaching your own licensing agreements without even realizing it.

Generative AI & Copyright: The Mess No One’s Talking About

Another big headache Damon highlights is the legal grey area around generative AI content. Right now, in many regions, AI-generated content doesn’t qualify for copyright protection. That means businesses that rely on AI to produce creative assets (scripts, articles, images — you name it) could end up in situations where they can’t actually defend their own work.

This is especially messy in media and entertainment, where ownership and licensing are the backbone of the industry. If your content can’t be protected, your entire business model could be at risk.

On top of copyright headaches, there’s the huge question of personal data. AI systems are constantly processing and inferring personal data, even if you’re not directly inputting it. If you’re working with AI in Europe (or using AI that touches EU data), GDPR applies, and that includes inferred data like automatically identifying someone’s age or gender in a video.

Add in the EU AI Act — which is already in place and the rules get even stricter. The AI Act classifies certain uses of AI (like facial recognition or hiring tools) as high risk, which means companies need to jump through more hoops to stay compliant.

What’s worrying is that a lot of businesses (even some big ones) aren’t aware these rules already exist. As Damon says in the episode, waiting for AI laws to appear isn’t a strategy — the laws are already here.

The Cost of Getting It Wrong

All of these risks — privacy breaches, copyright violations, unauthorized data sharing — don’t just hit your legal team. They hit your overall business performance.

A data leak or compliance failure can lead to:

Massive fines (especially under GDPR)
Lawsuits from content owners or clients
Serious damage to your reputation
Expensive, time-consuming audits and fixes

For media companies, content creators, and anyone building AI-powered products, these aren’t hypothetical risks. They’re happening right now. And the bigger your business, the bigger the target you become.

The Fix? Education & Clear Policies

The good news, and yes, there’s good news, is that there are steps you can take to protect your business, and they’re not all that complicated. Damon explains how companies can build AI policies that make sense for their teams, their data, and their industry.

A big part of the solution is education — making sure your teams (from leadership to creatives to IT) actually understand what AI can and can’t do legally. Combine that with clear policies on what tools can be used, what data can be shared, and how AI-generated content should be handled, and you’re already miles ahead of companies that are crossing their fingers and hoping for the best.

Damon also recommends setting up an AI council — a cross-department group that includes legal, tech, and creative leads to make sure everyone’s on the same page when it comes to AI risks and rules.

Don’t Wait Until It’s Too Late

If any of this sounds familiar or if you’re starting to realize your company might not be as clued-up as you thought, this podcast episode is a must-listen. Damon shares real-world examples, practical advice, and the kind of straight talk you need to keep your business safe without slowing down your use of AI.

👉 Listen to the full episode here and make sure your company isn’t sleepwalking into an AI legal disaster.

About Metadat-AI

At Metadat-AI, we specialize in AI automation designed specifically for media companies — and we do it with compliance, security, and transparency baked in from day one. If you want to learn more about how we build responsible, legally sound AI solutions, get in touch.