To transform the legal industry, Harvey hires domain experts to outline the necessary steps for various legal processes, which are then enhanced by AI models.

Harvey's approach to product development involves expanding specialized capabilities and then integrating them into unified workflows, focusing on complex tasks like international mergers to create a defensible position in legal AI.

The ideal interaction with Harvey for lawyers is not a simple command interface but a more nuanced system that allows for complex workflows and user judgment in legal tasks.

Achieving 100% accuracy in AI applications is crucial, especially in legal contexts where providing incorrect information can have serious consequences for lawyers handling important cases.

Our development process involved creating a series of tests to ensure that the AI could accurately respond to legal queries, which was crucial for its effectiveness in practice.

Casetext represents a significant success story in AI, showcasing the potential for future advancements in the legal field.

The legal industry is particularly suited for AI because the value of each token in legal documents is high, making the efficiency of AI applications extremely valuable. If you focus on building a specific workflow, the value can be very high, but if it doesn't sell, you're in trouble.

Harvey aims to provide better access to justice by reducing the average cost of legal services, which is currently $352 an hour in the U.S., as a significant number of people lack access to the justice system, and even if every lawyer worked 20 hours a week on this issue, it wouldn't close the gap.

It's essential to make the first encounter with AI technology successful for users, especially in conservative fields like law, to encourage deeper investment in the technology.