We work with many of the world’s most innovative companies in traditional AI/ML and generative AI. We advise clients as they bring new solutions to market, helping them respond to current laws and anticipating how the legislation may evolve over time. 

Our clients range from startups to tech giants, all recognizing that AI/ML integration is vital to future success. Our team includes lawyers with advanced scientific and computer programming degrees, some with a specific focus on AI/ML technologies, as well as former researchers, developers, and in-house counsel for tech companies.  

Our work related to AI/ML technologies spans the development lifecycle and includes: 

• Analyzing the sourcing and use of data for model training in generative AI tools, including considerations relating to privacy, biometrics, intellectual property (IP), data security, and contract law. 
• Advising regarding model development and testing, including assessing algorithmic accuracy and bias and fairness considerations. 
• Obtaining patents for AI/ML technologies. 
• Obtaining funding and financing for AI/ML startups. 
• Conducting due diligence on AI/ML technologies as part of corporate transactions. 
• Implementing responsible use/ethical frameworks for governance and use of AI/ML. 
• Drafting policies for organizations’ internal use of AI/ML tools. 
• Assessing and advising on compliance under evolving AI/ML-specific laws.  
• Advising regarding trust and safety issues relating to AI/ML technologies used in connection with large-scale content-sharing or messaging platforms, such as considerations relating to child safety, content moderation, deepfakes, law enforcement access, and misinformation. 
• Advising regarding use of AI/ML technologies in heavily regulated industries and/or under other substantive areas of law, such as Americans with Disabilities Act accessibility, antitrust, civil rights/discrimination, consumer protection, IP, data security, employment, financial services, healthcare, privacy, and trade secrets. 
• Drafting user notices and external-facing messaging regarding AI/ML-enabled products and services.  
• Drafting contractual and licensing terms to allocate roles, responsibilities, and risks related to AI/ML technologies between entities. 
• Advising on public policy questions regarding proposed AI/ML laws. 
• Defending Federal Trade Commission and state attorneys general investigations into alleged misuse of or bias in AI/ML. 
• Litigation regarding AI/ML products and features.