Security Posture Drives Harvey Adoption
Director of Innovation at large law firm on why firms adopt Harvey over Legora
This is less a feature preference than a hard market filter, because large firms eliminate most AI products before lawyers ever compare output quality. In practice, anything with shared infrastructure, vendor training on firm data, or consumer style self serve onboarding is out. That pushes live legal work toward private deployments from established vendors, while general tools stay confined to internal education and experimentation.
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The gating criteria are concrete. Private environment, no model training on firm data, and no path for client data to leave firm controlled systems. The same interview says security review is the slowest part of evaluation and a normal deployment path takes about six months.
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This is why broad consumer AI tools can create awareness without winning legal work. General tools like Claude can be useful for training lawyers on prompting, but large firms still buy purpose built products for production workflows, contract review, research, drafting, license controls, and auditability.
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The shortlist gets even narrower because firms prefer vendors that already look durable. The interview describes avoiding fly by night startups, while Harvey and Legora are both sold as enterprise legal products and Harvey is already used for legal research and document review by law firms and in house counsel.
Going forward, security posture becomes part of product distribution. The winners in large law will be the vendors that can clear procurement fast, support private deployments, integrate with firm systems, and prove client data never trains shared models. That favors enterprise legal AI platforms and specialized workflow tools over freemium general assistants.