Trust in Legal AI: Why Harvey is Betting Big on Transparency

Iris Coleman Apr 21, 2026 12:32

Harvey doubles down on trust in legal AI with key hire Joshua McKibben and a focus on verifiability, consistency, and security.

As legal professionals increasingly turn to artificial intelligence tools to streamline their work, the question of trust has become paramount. Harvey, an AI platform specializing in legal applications, is addressing this head-on by emphasizing transparency, reliability, and security. The company’s latest move? Hiring Joshua McKibben, formerly Senior Director of Enterprise Security Compliance and Risk at Snowflake, as its new Head of Trust.

Legal AI adoption is accelerating, but for law firms, trust isn't just a buzzword—it’s a business imperative. Lawyers are tasked with safeguarding sensitive client data and ensuring the accuracy of legal deliverables, whether drafting motions or responding to judges’ inquiries. According to Harvey, trust in AI boils down to three key pillars: verifiability, consistency, and a robust security-first culture.

Verifiability is crucial. When Harvey’s AI suggests legal precedents or citations, users must be able to trace those recommendations back to their source materials quickly and confidently. "Trust is not blind faith," Harvey’s team asserts, "it’s the ability to check, confirm, and verify." Inconsistent or untraceable outputs can erode trust and could prove catastrophic in high-stakes legal scenarios.

Consistency across varied conditions is another critical factor. Harvey argues that its AI must perform reliably, not just in isolated test cases but across diverse use cases, time constraints, and levels of user expertise. "Trust isn’t built on a single showcase," the company notes—it’s earned through repeated and dependable performance.

Harvey’s investment in a security-first culture is underscored by McKibben’s appointment. At Snowflake, McKibben spearheaded compliance programs for highly regulated customers, managing certifications like SOC 2 and ISO standards. His expertise positions him to strengthen Harvey’s privacy, security, and compliance frameworks further. According to Harvey, McKibben will lead efforts to enhance system transparency, accelerate security review processes, and bolster infrastructure, ensuring the platform meets the rising expectations of its legal clientele.

This emphasis on trust is more than just risk mitigation—it’s a competitive edge in a crowded legal-tech market. As AI tools become easier to build and deploy, clients are scrutinizing not just the technology but the teams behind it. Harvey is betting big that its focus on trust will resonate with firms looking for reliable partners in a high-stakes environment.

Over the next year, Harvey plans to roll out clearer system documentation, faster responses to security audits, and deeper investments in infrastructure. In an era where AI adoption outpaces regulation, legal professionals will likely appreciate these steps toward transparency and accountability.

• ai
• legal tech
• trust
• harvey