Harvey

Harvey builds AI software designed to support legal work, with a focus on helping professionals handle complex, text heavy tasks more efficiently and consistently. Its product is aimed at reducing the time spent on repetitive drafting and research, while keeping the emphasis on accuracy, traceability, and careful use in high stakes settings. In practice, that means tools that can assist with producing first drafts, summarising long documents, extracting key points, and answering questions based on provided materials, all within workflows that suit professional services rather than consumer use.

The company primarily serves legal teams, including law firms and in house legal departments, and its approach suggests it is built for organisations that need strong controls around confidentiality and reliability. Harvey sits in the growing category of enterprise AI applications, where large language models are packaged into software that fits real business processes. Compared with general purpose AI chat tools, the emphasis appears to be on domain specific use cases, professional standards, and features that make the technology usable in regulated or risk sensitive environments.

For job seekers, Harvey is likely to appeal if you enjoy working at the intersection of product, applied AI, and professional services. Teams that tend to thrive in this kind of company include product and engineering people who can translate messy real world workflows into clear software experiences, as well as machine learning and data specialists focused on evaluation, safety, and quality. Given the legal context, there is also room for roles that combine subject matter understanding with technology, such as legal engineers, solutions consultants, customer success professionals, and implementation specialists who can work closely with demanding users and translate their feedback into product improvements.

Working at Harvey is likely to suit people who are motivated by building software that changes how knowledge work is done, and who are comfortable with the responsibility that comes with deploying AI in settings where mistakes matter. If you like fast iteration, close collaboration with customers, and solving practical problems around trust, privacy, and usability, it may be an environment where your work has a clear line of sight to real impact.