The Accountability Problem Behind AI Adoption

In this episode of 'She Said Privacy, He Said Security,' hosts Jodi and Justin Daniels explore the growing accountability crisis in AI adoption with guest Kristen Calvey, editor and publisher of Corporate Counsel Business Journal. Calvey highlights how executives often treat AI as a distant, mandatory tool rather than a strategic asset, leading to fragmented and uncontrolled deployments. She emphasizes that legal operations teams—often overlooked—are now the central force behind AI governance, managing workflows, integrations, and institutional knowledge. The discussion reveals critical blind spots: unconsented recording of meetings, lack of prompt documentation, and supply chain vulnerabilities from third-party AI use. Calvey stresses that AI doesn't replace judgment but amplifies it, and that institutional knowledge, not just technology, remains essential. She warns that without proper governance, organizations risk legal exposure, privacy breaches, and loss of trust—especially when AI decisions become discoverable in litigation. The episode underscores that AI adoption is not just a technical challenge but a cultural and organizational one. Calvey advocates for a disciplined approach: identifying a 'tentpole platform' and managing all integrations through it, rather than piecemeal deployment. She also cautions that younger legal professionals must still develop deep expertise, even as AI handles routine tasks like due diligence. The conversation closes with a call to action: document intent, capture prompts, and establish guardrails before AI becomes embedded in core operations. The tone is urgent yet constructive, emphasizing that trust in AI begins with accountability.