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Contrary to stereotypes, Harvey's CPO finds lawyers at top firms are not tech laggards but are "incredibly curious" and driven by a "competitive spirit" to adopt agentic AI. Their focus is on collaborating with and verifying the AI's output.
Unlike traditional firms that bill by the hour, personal injury attorneys on contingency fees are highly motivated to adopt AI. Efficiency gains don't reduce billable hours; they directly boost profit margins by settling cases faster and with less manual work, creating clear and immediate ROI.
Contrary to expectations, professions that are typically slow to adopt new technology (medicine, law) are showing massive enthusiasm for AI. This is because it directly addresses their core need to reason with and manage large volumes of unstructured data, improving their daily work.
Senior lawyers use AI for a quick first pass, but their deep experience allows them to instantly spot inaccuracies or weaknesses in the output. This accelerates their high-level strategic work, providing a greater productivity boost than what junior lawyers get from automating basic tasks.
In professional services like law, the adoption of a powerful AI tool by one firm "breaks the equilibrium." Competitors are then forced to adopt similar technology to maintain service speed and quality, creating a rapid, industry-wide technological shift driven by competitive pressure rather than just top-down directives.
Contrary to its reputation for slow tech adoption, the legal industry is rapidly embracing advanced AI agents. The sheer volume of work and potential for efficiency gains are driving swift innovation, with firms even hiring lawyers specifically to help with AI product development.
A significant shift is occurring in legal hiring, where practical AI proficiency is becoming more valuable than traditional credentials. Some firms now state they would hire an AI expert from a mid-tier school over a top Harvard graduate with no AI experience.
CEOs are under immense pressure to implement AI, leading to a "radical openness" to trying new tools, even in historically slow-adopting sectors like law. This environment significantly shortens sales cycles for AI startups and makes customer adoption easier than ever before.
Contrary to belief, OpenAI data shows non-technical roles are the fastest-growing adopters of advanced AI. In five months, legal department usage of 'Codex' exploded 108x and sales grew 41x. This vastly outpaces the 5x growth among engineers, signaling a major shift in where AI value is being created.
While AI streamlines tedious tasks, its more profound impact is acting as a 'co-pilot' for lawyers. It helps them brainstorm, test theories, and think through complex problems, leading to higher-quality work product—a capability previous technologies lacked.
Harvey is building agentic AI for law by modeling it on the human workflow where a senior partner delegates a high-level task to a junior associate. The associate (or AI agent) then breaks it down, researches, drafts, and seeks feedback, with the entire client matter serving as the reinforcement learning environment.