In an ongoing dispute commenced in 2016, the Eleventh Circuit for the second time in the lifetime of the litigation considered trade secret misappropriation and related copyright claims in a scraping case between direct competitors.

The case involved plaintiff Compulife Software, Inc. (“Plaintiff” or “Compulife”) – in the business of

ChatGPT has quickly become the talk of business, media and the Internet – reportedly, there were over 100 million monthly active users of the application just in January alone.

While there are many stories of the creative, humorous, apologetic, and in some cases unsettling interactions with ChatGPT,[1] the potential business applications for ChatGPT and other emerging generative artificial intelligence applications (generally referred to in this post as “GAI”) are plentiful. Many businesses see GAI as a potential game-changer.  But, like other new foundational technology developments, new issues and possible areas of risk are presented.

ChatGPT is being used by employees and consultants in business today.  Thus, businesses are well advised to evaluate the issues and risks to determine what policies or technical guardrails, if any, should be imposed on GAI’s use in the workplace.

In what could be prove to be an important decision within the context of scraping of “public” data, in a recent case the Eleventh Circuit reversed a lower court’s dismissal of trade secret claims relating to the scraping of insurance quotes. (Compulife Software, Inc. v. Newman, No. 18-12004 (11th Cir. May 20, 2020)). The appellate court agreed with the lower court that while Compulife’s insurance quote database was a trade secret, manually accessing life insurance quote information from the plaintiff’s publicly web-accessible database would generally not constitute the improper acquisition of trade secret information.  However, the court disagreed with the lower court in finding that the use of automated techniques to scrape large portions of the database could constitute “improper means” under state trade secret law.  In reversing the lower court’s dismissal of the trade secret claims, the appeals court stressed that “the simple fact that the quotes taken were publicly available does not automatically resolve the question in the defendants’ favor.”   Even though there was no definitive ruling in the case – as the appeals court remanded the case for further proceedings – it is certainly one to watch, as there are very few cases where trade secrets claims are plead following instances of data scraping.