Commercial Counsel
Rad AIFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The position uses a hybrid work model requiring 3 days in the office per week, based in London reporting to the Head of EMEA Legal.
Candidates must be an English qualified lawyer with 2+ years post qualification experience, either in the commercial or technology division of a leading private practice law firm or in-house with a technology company supporting SaaS or technology Go-To-Market.
The team is sharp, motivated, and deeply committed to the mission, moving fast with intensity, taking real ownership, staying close to customers, and thriving in ambiguity while pushing for excellence.
This information is not specified in the job description.
Ideal candidates are English qualified lawyers with 2+ years PQE in commercial/technology law at a top firm or in-house tech supporting SaaS GTM, who thrive in a fast-moving startup environment drafting and negotiating AI SaaS contracts while helping build the EMEA legal function.
Custom AI solutions for law firms
Harvey.ai builds custom Large Language Models (LLMs) specifically designed for top law firms to help them tackle complex legal challenges. These AI models are tailored to various legal practice areas and jurisdictions, allowing firms to enhance their efficiency and accuracy in legal work. Harvey.ai's technology includes an AI chatbot developed in collaboration with Allen & Overy, which demonstrates how their solutions can streamline operations and reduce manual workloads. The company operates on a business model that combines customization fees for developing these models with ongoing subscription fees for support and updates. Unlike many competitors, Harvey.ai focuses exclusively on the legal sector, ensuring that their products meet the unique needs of elite law firms. The goal of Harvey.ai is to transform the legal industry by providing advanced AI tools that improve decision-making and operational efficiency while maintaining high standards of data security.