Artificial-intelligence

Consumer AI chats and cloud drives both involve vendors—but confidentiality and privilege turn on terms, consent, and expectations, not file size. Here's the practical frame for lawyers.

For decades, the internet thrived on a tacit agreement - content creators offered free, valuable information and let search engines crawl their sites in exchange for clicks and ad revenue. This article explores how emerging AI technologies and direct answer features are disrupting that model, prompting creators to rethink compensation and control over their content.

The release of an unexpected Chinese open-source AI model echoes our past "Sputnik" shock and underscores why America should embrace entrepreneurial ingenuity rather than stifle it with regulatory overreach.

Exploring how ABA Opinion 512 may affect the use of retrieval augmented generation models and bespoke AI models trained on firm data in legal practice.

An overview of the U.S. federal AI governance law and policy landscape, exploring key regulations, agencies, and initiatives shaping the future of artificial intelligence in the United States.

Deep fakes are a growing concern in the digital age. How do we distinguish between real and fake content, and what legal implications do deep fakes pose?

A brief overview of the differences between AI, machine learning, neural networks, and deep learning.