AI That Listens Like a Lawyer: Courts Are Exposing the Gap Between What AI Notetakers Promise and What Their Contracts Permit. Purpose-Built Legal Conversational Intelligence™ Tools, Such as Querious®, Offer Attorneys a Defensible Path Forward. A gap exists between how general-purpose AI notetakers are marketed to legal professionals and what their terms of service permit.
Power Supply Company Hit with AI-Related Securities Suit
The rise of Artificial Intelligence (AI)-based tools and applications has also meant the rise in AI-related infrastructure, such as data centers and power generation support. And just as we have seen the rise of securities litigation relating to companies’ adoption of AI tools and processes, we have also seen securities suits relating to AI infrastructure development.
In the latest example of this kind of AI infrastructure-related litigation, on March 20, 2026, a plaintiff shareholder filed a securities class action lawsuit against the engine and power systems company Power Solutions International, alleging that the company’s new strategy of providing power generation solutions for AI data centers had fallen short of the company’s representations. A copy of the new complaint against Power Solutions can be found here.
Mandiant M-Trends 2026 Report: Threat Actors Using AI in Attacks
Mandiant recently issued its M-Trends 2026 Report, a must read for all cybersecurity professionals. The report provides several conclusions and insights, including that both nation states and run of the mill financially motivated threat actors are “integrating AI to accelerate the attack lifecycle.” These threat actors are “increasingly relying on large language models (LLMs) as
Troutman Pepper Locke Weekly Consumer Financial Services Newsletter – March 26, 2026
To keep you informed of recent activities, below are several of the most significant federal events that have influenced the Consumer Financial Services industry over the past week.
IRS roundup: March 9 – March 25, 2026
Check out our summary of significant Internal Revenue Service (IRS) guidance and relevant tax matters for March 9, 2026 – March 25, 2026. AI controversy developments March 20, 2026: The US Tax Court is considering developing a disciplinary framework for the misuse of artificial intelligence (AI) in litigation following concerns raised by Judge Mark V.
Scaling Mastery: How Sal Khan is Architecting the Future of AI-Driven Education
The halls of the Special Competitive Studies Project (SCSP) AI+Education conference in Washington, DC, were buzzing with a distinct mix of urgency and optimism. Nowhere was this more palpable than during the fireside chat with Sal Khan, the founder of Khan Academy. As a technologist, watching Khan’s evolution from producing simple YouTube math videos
Co‑Location as Opportunity and Risk: Diligencing Renewable Assets Serving Data Centers in ERCOT
Texas presently sits at the center of the U.S. energy‑and‑digital‑infrastructure boom. As hyperscalers, AI platforms, crypto-currency miners, and cloud providers accelerate their build‑out of data‑center campuses, the demand for power in the Lone Star State has never been higher.
State Lawmakers Introduce New Wave of Personalized Algorithmic Pricing Bills
U.S. state lawmakers have introduced more than 40 bills across at least 24 states to regulate personalized algorithmic pricing in 2026 thus far, already outpacing the number of personalized algorithmic pricing bills introduced in all of 2025. While their definitions and scope vary, the 2026 bills broadly refer to “personalized algorithmic” or “dynamic” pricing as
AI Copyright Litigation: Where the Key Cases Stand
Why AI Copyright Litigation Matters Now
The litigation wave has moved from theory to active precedent
AI copyright litigation no longer sits in the abstract. Courts have now issued early fair use rulings on AI training, and those rulings have started to shape how publishers, creators, model developers, and investors assess legal exposure. Morrison Foerster
The Intelligence Bureaucracy
Why the OpenAI Hiring Surge Signals a Crisis of Professional Control
The management problem in AI is no longer whether the models are improving. They are. The management problem is whether the working surface is becoming more dependable or less.That is why the recent OpenAI hiring story on its plan to nearly double its workforce