Over the past fifteen years, artificial intelligence (AI) has become increasingly embedded in the legal field, often in ways that were not widely anticipated. While it was initially expected that legal professionals would need to familiarize themselves with AI tools to enhance efficiency in practice, few foresaw the necessity for attorneys to possess a deep understanding of AI’s technical functions in order to competently advise clients on the legal ramifications of its use. Although the application of traditional AI to accomplish tasks such as resolve analytical problems or sort large datasets has become routine, the evolution of the technology now enables generative AI to not merely process information, but to autonomously make decisions based on the information presented. Generative AI is capable of generating new content such as images or text by learning from data supplied to it.[i] The most popular examples of generative AI that have been integrated into professionals everyday use are Google’s Gemini and Microsoft’s Copilot. Every time a user drafts an email or a word document or simply completes a search on Google, generative AI is taking that information to provide suggestions and generating responses. Other examples of generative AI include Chat GPT, Meta AI, Claude and many more that are constantly under development.
In recognition of these risks, the Illinois Supreme Court has explicitly cautioned against the uncritical adoption of generative AI in legal...
As we await more details about CBP’s latest murder in Minneapolis, I wanted to point to an attempt by DOJ to get a writ of mandamus because Magistrate Judge Douglas Micko denied five of eight arres...