Retention schedules and records inventories are often viewed as traditional compliance tools, but they are quickly becoming foundational to effective AI governance. As organizations deploy GenAI and advanced analytics, they must understand what data they have, where it resides, how long it is retained, and whether it is appropriate for AI use cases. Without this visibility and lifecycle control, AI can amplify existing data risks, including regulatory exposure, over-retention, and inadvertent use of sensitive or privileged data.

This panel will explore how core information governance artifacts, including retention schedules and records inventories, enable responsible AI deployment by supporting data minimization, defensible data use, and regulatory transparency. Panelists will discuss practical strategies for aligning existing IG programs with emerging AI governance frameworks, and how organizations can leverage existing governance investments to accelerate safe and compliant AI adoption.

EMAIL armakeystonepachapter@gmail.com for Zoom information.

Kristen Coyle Pologruto, E-Discovery Counsel

 A senior member of Reed Smith’s Records & E-Discovery Group since 2012, Kristen has 20 years of experience in electronic discovery, having performed work and supervised review teams for a number of nationwide product liability litigations, including pharmaceutical cases, banking and finance cases, and government investigations.

 In addition to E-Discovery, Kristen’s practice covers records management, which includes working with clients to develop internal retention policies and periods, as well as information governance training and compliance. Her experience also encompasses document preservation and litigation readiness, including implementing and managing clients’ legal hold processes, issuing holds, and tracking compliance on an ongoing basis.

 Kiriaki Tourikis, Counsel

 Kiriaki is counsel in the Tech & Data group, focusing her practice on enterprise data risk management and information governance, data privacy, records and e-discovery. Kiriaki advises large financial services institutions on enterprise data risk management strategies to manage legal and regulatory issues associated with both traditional and innovative technologies and data sources. Kiriaki’s practice involves advising clients on lowering risk associated with using and storing information across jurisdictions. In her role, Kiriaki counsels large financial institutions, on all aspects of data risk management and the discovery and management of electronic data, including: data migrations; technology implementation and management; the policies and procedures regarding the governance of information in various technologies; eDiscovery strategy and management; the use of data analytics for eDiscovery, compliance and risk management; the development of data source catalogues, disclosures, and responses relating to electronically stored information; and the remediation of legacy data (both paper and electronic).