Implementation readiness explains Harvey adoption
Director of Innovation at large law firm on why firms adopt Harvey over Legora
The real moat in large law firm legal AI is not the demo, it is surviving a long enterprise onboarding gauntlet. A tool has to clear security, procurement, contract redlines, partner sponsorship, user training, and client approval before broad access even starts. That favors vendors with patient implementation teams, mature integrations, and enough credibility that a firm will spend months getting them through internal review.
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The delay is mostly operational, not technical. The interview describes security review as the biggest bottleneck, followed by procurement and contract negotiation, with pilots starting small before any wider release. iManage’s 2025 law firm survey also found formal firmwide deployment of generative AI still limited, despite broad experimentation.
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Large firms do not buy hundreds of seats on day one. They start with small pilots, track usage closely, and reassign licenses to active lawyers. That makes vendor support part of the product. The team has to train lawyers, help build internal champions, and fit into existing systems like iManage before usage can spread.
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This is one reason Harvey has had an adoption edge in big US firms even when product differences are narrow. The interview ties Harvey demand to client pull and brand recognition, while Legora has been building its integration and change management muscle through deeper iManage ties, training partnerships, and long pilot led rollouts at firms like Pinsent Masons.
The category is moving toward a services heavy enterprise model, where winning depends on implementation discipline as much as model quality. Over time, the vendors that pair strong product with security readiness, workflow integrations, and structured lawyer training will be the ones that turn pilots into durable practice group infrastructure, then into broader firm standards.