If you are an attorney interested in attending this program, please click the link below to email your name, title, company, contact information, and bar numbers for jurisdictions in which you are requesting CLE credit to DechertCLE@dechert.com. Once we receive this information, we will confirm your registration status. This session will be run via Webex. Please see here for their minimum system requirements. Artificial intelligence, new software, and robotic process automation continue to change how diligence is conducted at law firms.

The use of big data and algorithms to automate decision-making has been on the rise for many years. Data collection and "commercial surveillance" is a pervasive practice among social media companies and may other providers of online services. Join us as we consider the Federal Trade Commission's proposed rulemaking considering these issues as well as the "Blueprint for an AI Bill of Rights – Making Automated Systems Work for the American People" recently released by the White House Office of Science and Technology. CLE credit: CLE credit in CA, FL, IL, NJ (via reciprocity), NY, PA, TX, and VA is currently pending approval.

The use and development of artificial intelligence and machine learning technology is spreading from niche Silicon Valley software companies to almost all innovative businesses, including those outside the traditional software field. Stitch Fix CEO Katrina Lake recently said: "In 10 years, every'relevant' company will be a tech company." As such, a strategy for inventing and using machine learning technology, and for generating IP based on the resulting inventions, is essential to non-software companies. This presentation focuses on assisting private patent practitioners, as well as in-house attorneys, in understanding the machine learning technology space, developing processes for identifying patentable inventions in the machine learning field, and patenting such inventions. The presentation defines machine learning, addresses strategies for drafting and prosecuting patent applications in the US, and discusses advantages and disadvantages that non-software technology companies may have in obtaining patents in this space.