Access to quality data is the foundation for developing effective artificial intelligence models. As a result, one of the most common issues for companies when evaluating an AI-powered product is whether a model provider can or will train its AI on customers’ (such as your company’s) data.
As 2025 draws to a close, AI regulation continues to accelerate across the globe. States in the U.S. and regions like the EU have been particularly active, creating a complex landscape for businesses and organizations leveraging AI.
On Dec. 11, 2025, President Trump signed an executive order titled “Ensuring a National Policy Framework for Artificial Intelligence” that seeks to establish federal supremacy over state AI regulation.
Artificial intelligence (AI) has dramatically expanded the toolkit available for reverse engineering, and in-house counsel might wish to take note.
AI’s ability to teach itself borders on metaphysical, so harnessing the benefits of this phenomenon — by both providers and customers — requires thoughtful navigation.
Typically, a provider offers its proprietary algorithms, while the customer brings datasets and maybe a query to run. The AI platform, along with supporting tools, identifies patterns, makes predictions, and generates
Among the hundreds of bills passed during New York’s 2025 legislative session are several pieces of legislation that impose regulations on developing and using AI. While some of the measures are aimed at refining recently adopted laws, some of the bills would regulate the technology in entirely new ways.
Data center development is booming—driven by AI and other high-throughput workloads. But beyond the physical buildout, a new product is emerging that might enhance the sector’s value proposition: SLA insurance.
The capital intensity of data center projects attracts institutional investors. One common vehicle is asset-backed securitization, where data center leases and their associated cash flows are
On June 10, 2025, the U.S. Courts’ Committee on Rules of Practice and Procedure approved a set of proposed amendments to the Federal Rules, including introducing Proposed Federal Rule of Evidence 707, which addresses the admissibility of AI-generated evidence. Proposed Rule 707 would require that machine-generated evidence—when offered without a human expert—meet the same admissibility
As AI adoption accelerates, government regulators and private plaintiffs are closely examining its impact on competition. In July 2025, the White House released America’s AI Action Plan, emphasizing innovation and regulatory relief, while class action lawsuits and enforcement actions highlight growing risks around algorithmic pricing and data control. This GT Advisory unpacks key developments and
Patent examiners have had access to AI-driven prior art searching since late 2022, but its use is expanding and is now even required in some technology groups (art units). Chief Information Officer of the USPTO, Jamie Holcombe, touted 30% of references result from using SimSearch.
SimSearch, the AI-based Similarity Search tool available through the USPTO’s