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.

The traditional billable hour model in legal services limits efficiency; we aim to help firms transform their workflows into software solutions.

We help law firms automate lower-end work to avoid operating at a loss while pursuing larger deals, like mergers and acquisitions.

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.

AI tools for lawyers are becoming increasingly viable, allowing for the automation of legal work and the potential for creating the largest law firm on the planet.

The transition from traditional software sales to outcomes-based models is challenging for incumbents, but startups can leverage this shift to their advantage.

Companies that start with software can evolve into smarter solutions, transitioning from selling tools to selling outcomes and labor budgets.