Gen AI with Michael Egan

Key Takeaways

My name is Michael Egan and I am a director in the legal tech and innovation practice group in Arthur Cox. The most valuable use of Genai that we're seeing at the moment is in the front end document review helping teams understand their data much faster. In DARS, for example, we're using Genai to identify themes, locate personal data, and surface the high-risk documents earlier in the process. That enables our lawyers to make informed decisions, reducing the unnecessary document review without cutting any corners. The most important thing about all of this, it's not replacing legal judgment, it's augmenting it. So when Genai is used inside a structured and defensible workflow, there's significant savings in terms of costs, efficiencies, and speed. And that's what our clients have been asking us for. The one thing that organizations are starting to fully appreciate is how broad their digital footprint can be. So in investigations, whether it's cyber, employee misconduct, or investigations themselves, we're collecting data from devices, cloud platforms, collaboration tools, and increasingly AI systems themselves. During a cyber attack, the most important thing is not just containment. It's understanding the impact. Organizations need to quickly understand who has been impacted, what personal data has been exposed, and whether it relates to their employees or customers or other third parties. You'll need this for your regulatory reporting, which you'll also need to shape your communications with the affected individuals. By targeting the information with our lawyers and harnessing the power of AI, we are able to identify the high-risisk documents early assess the individual risk and prioritize communications so we're reaching out to the people who are most impacted first. The outcome is a clear and structured report so people can make decisions with clarity and confidence. For more information, please contact us at arthurcox.com/dataanddigital leadership.