Anita Gorney is the Head of Privacy and AI Legal at Harvey. Harvey is an AI tool for legal professionals and professional service providers. Before Harvey, she was Privacy Counsel at Stripe. Anita studied law in Sydney and began her career there before moving to London and then New York.

In this episode…

Legal professionals often spend time on manual tasks that are repetitive and difficult to scale. Emerging AI platforms, like Harvey AI, are addressing this challenge by offering tools that help lawyers handle tasks such as legal research and contract review more efficiently. As legal professionals adopt AI to streamline their work, they are placing greater focus on data confidentiality and the secure handling of client information. Harvey AI addresses these concerns through its strict privacy and security controls, customer-controlled retention and deletion settings, and a commitment to not train on customer data.

Harvey AI provides a purpose-built platform tailored for legal professionals. The company’s suite of tools — Assistant, Vault, and Workflow — automates repetitive legal work like summarizing documents, performing contract reviews, and managing due diligence processes. Harvey AI emphasizes privacy and security through features like zero data retention, encrypted processing, and workspace isolation, ensuring customer data remains confidential and is never used for model training. With a transparent, customer-first approach, Harvey AI empowers legal teams to work more efficiently without compromising trust or user data.

In this episode of the She Said Privacy/He Said Security Podcast, Jodi and Justin Daniels speak with Anita Gorney, Head of Privacy and AI Legal at Harvey AI, about how legal professionals use specialized artificial intelligence to streamline their work. Anita explains how Harvey AI's platform helps with tasks like contract analysis and due diligence, while addressing privacy and security concerns through measures like customizable data retention periods and workspace isolation. She also discusses the importance of privacy by design in AI tools, conducting privacy impact assessments, and implementing user-controlled privacy settings.