Podcast Episode 43: Defining Agentic AI and Its Role in Legal with Aron Ahmadia

Aron Ahmadia

In this episode, Ted sits down with AI and data management expert Aron Ahmadia (Senior Director for Applied Science at Relativity) to explore the transformative impact of AI on the legal industry. They explore agentic AI and its autonomy, discussing its potential to reshape legal processes, cut costs, and improve decision-making. Aron shares insights into both the opportunities and challenges of integrating AI in legal workflows, highlighting the journey from innovation to practical application. 

Aron shares insights on how to:

  • Define and integrate agentic AI in legal workflows
  • Assess AI’s impact on efficiency and cost savings in legal services
  • Overcome data quality challenges in law firm document management
  • Navigate the development and deployment of AI for legal research and discovery
  • Manage risk in AI applications within legal and compliance contexts

Key takeaways:

  • AI systems in legal discovery have greatly improved cost efficiency, with one case saving over a million dollars using a trial AI product.
  • Agentic AI, known for its autonomy and planning, is expected to transform the legal sector by automating repetitive tasks and enhancing strategic roles.
  • Advanced AI data organization tools also help law firms manage disorganized data by identifying, categorizing, and cleaning it—key steps toward fully leveraging AI.
  • Current AI tools, like those for document review, enable rapid analysis of large datasets, setting the stage for broader use across knowledge management and other legal tasks.

About the guest, Aron Ahmadia:

Dr. Aron Ahmadia is the Senior Director for Applied Science at Relativity, where he drives the development of AI capabilities for RelativityOne, including the Relativity aiR suite of generative AI-powered solutions, as well as its Active Learning and Analytics Capabilities. An internationally recognized expert on machine learning and artificial intelligence, Dr. Ahmadia’s specializations include the use of AI in Law, Model Risk Management, and Responsible AI.

Prior to his current role, Dr. Ahmadia held an adjunct faculty position with George Washington University and was an inaugural Professor of Computer Science at KAUST, where he taught one of the first coed classes in the Kingdom of Saudi Arabia. He has significant financial services experience from his time serving in the Model Risk Office at Capital One, as well as a breadth of US government service. Dr. Ahmadia holds a Ph.D. in Applied Math from Columbia University and a B.S. in Computer Engineering from the Illinois Institute of Technology.

“We’re potentially going to see a level of data understanding and data management that we don’t currently consider because it’s just too expensive. But that cost will go away, and the capability will come.”– Aron Ahmadia

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