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.

We approached the development of our AI by breaking down the legal research process into steps, mimicking how the best attorneys would tackle a problem.

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.

The latest AI models, like OpenAI's, demonstrate a higher degree of precision and thoroughness in understanding nuanced legal texts, which previous models struggled with.

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 legal industry is incredibly messy, and the misconception about AI companies is that they don't provide significant value beyond what foundation models offer.

A successful demo can compress several days of legal work into minutes, illustrating how AI can significantly enhance a lawyer's efficiency.

The biggest surprise for me is how well AI performs in legal work, which I initially thought would be too complex for it to handle effectively.

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.