Business, research and development, health care, customer service, marketing, and other activities, interactions, and endeavors are changing with the advancement of artificial intelligence (AI), machine learning (ML), natural language processing (NLP) and robotics. These innovations are affecting speed, productivity, capacity, and privacy while creating new risks and opportunities.

Different industries and use cases incorporate AI, ML, NLP and robotics in a variety of ways, resulting in a wide range of potential benefits, risks, issues and impacts. As a team, we have extensive experience advising clients about AI, ML, NLP and robotics relevant to their industries and use case(s), including the following:

AI, ML, NLP and robotics are all technologies our team is familiar with. We understand how to effectively tailor, balance and leverage these technologies for our client’s benefit. These include but are not limited to companies in the emerging technology sector, health care systems, life science, medical device, consumer products, transportation, drones and defense.

In the existing and evolving areas of law involving AI, ML, NLP, and robotics, we can also efficiently allocate and/or mitigate risks and benefits for our clients.

• Leading creators and developers of AI, ML, NLP and robotic technologies in raising funds, developing and protecting their intellectual property. This includes underlying models, algorithms and data sets, commercializing their technology with customers, and practically navigating regulatory and compliance environments. The respect pertains to but is not limited to privacy, regulatory approvals, product liability, safety, bias, discrimination, and otherwise monetizing and selling their AI, ML, NLP, and/or robotic business and assets.
• Guiding buyers and users of small and large organizations of AI, ML, NLP and robotic technologies who want to pilot, test and eventually deploy and use these advancing technologies to transform their operations, reduce costs, improve quality, reduce errors and more.
• Directing organizations that want to partner or collaborate on AI, ML, NLP or robotic projects by combining and/or learning from their respective data sets and other assets.
• Advising users of AI and ML platforms regarding rights to work product produced, confidentiality, trade secrets, intellectual property creations, and derivative works including source code, artwork, ChatGPT and other content.