In the early days of Casetext, I aimed to bring the best of technology to the legal space, as I found the existing legal technology frustrating and inefficient.

I had a traditional legal career, practicing law at a big law firm and even interning at Obama's White House, where I saw the potential for technology to improve legal processes.

Casetext reduces weeks of painstaking legal work down to just minutes, transforming the legal landscape.

From day one, Harvey emphasized the importance of accurate citations in the legal industry, which distinguishes it from other AI applications that may lack this focus.

The launch of Co-Counsel led to overwhelming demand, with our servers going down and an inability to hire support and sales staff quickly enough, which is a sign of real product-market fit. We built an AI Legal Assistant that acts like a new member of the law firm, capable of reading millions of documents and summarizing findings, which significantly extends the workforce of law firms.

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.

Transforming raw AI models into usable products for lawyers involves significant work, including filtering relevant documents from vast amounts of data.

The legal industry is on the verge of a major transition where lawyers will increasingly use AI to enhance access to justice, despite existing regulatory challenges.

We initially tried to create a user-generated content site for lawyers to annotate case law, but it failed because lawyers are too busy to contribute their time.