Beyond The Black Box: Defensibility And Validation In Gen AI (Video)

• Published date: 20 July 2026
• Subject Matter: Media, Telecoms, IT, Entertainment, Strategy, Privacy, IT and Internet, Data Protection, Technology
• Law Firm: Arthur Cox
• Author: Michael Egan

In our latest podcast episode, Michael Egan, Senior Director in our Legal Technology Group and Governance and Compliance Services Group, is joined by Michael Scorer, Senior Product Manager at Relativity, to discuss how organisations are moving from AI experimentation to implementation. Drawing on insights from Relativity and FTI Consulting's 2026 General Counsel Report, they explore why generative AI adoption has doubled over the past year while confidence in its use remains low, and what legal teams can do to bridge that gap.

They also explore the importance of defensibility, governance and human oversight in AI-enabled workflows, highlighting why successful adoption depends not only on the technology itself, but on the processes, validation and quality controls that surround it.

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Podcast transcription

Michael Egan
Hi, welcome back to the third edition of our legal tech podcast. My name is Michael Egan. I'm a senior director of Legal Tech and the Company Compliance and Governance Group. Today we're going to talk about how AI is being used in practice. And so I'm very delighted to be joined by someone who knows it only too well, Michael Scorer, who is a senior product manager in Relativity. So Michael, welcome to the podcast.

Michael Scorer
Thank you very much. It's good to be here.

Michael Egan
The last time we spoke was a couple of weeks ago in London at RelFest. That's where the community kind of comes together in our area. And we share ideas and you guys roll out some of the updates that we can all look forward to in the roadmap. The conversation this year was dominated by AI, but before we delve into that, it'd be great to just get some context into your background and what you're up to in Relativity.

Michael Scorer
Yeah, so I'm Michael Scorer. I'm a product manager at Relativity. Day to day, I work on our generative AI capabilities, which we call aiR for Review, aiR for Privilege and we've got some other aiR products that we'll be talking about today.

Michael Egan
Great. Well look, if we recorded this 12 months ago, it would be a different conversation. For you, who's someone who's seen that and lived through that in Relativity, what have you seen as the biggest changes in that period?

Michael Scorer
Well, I think even in the last year, we just continued to see data volumes growing and growing. And even some statistics that we shared at our RelFest a couple of weeks ago, the IDC predicts that between 2015 and 2029, data volumes are going to grow 40 times over, which for anyone, even if you weren't in the legal industry that's a challenge for managing your data. But if you're in, in working in legal technology and working in the type of practise that you work in, it means that you need to be using more tools and more technology to be able to review that type of data and get through that type of data. So that's really where the conversation is shifting.

Michael Egan
Yeah, so we've certainly seen a shift with our clients over the past 12 months and particularly the last 6 months. I'd say it's gone from understanding AI to now they're more hands on with the actual product themselves and they're trying to see how they can deploy it efficiently...