Phillips Lytle Expands Data Centers Practice Team

Dec 3, 2025
Phillips Lytle LLP has expanded its Data Centers Practice Team to strengthen its legal support for clients involved in data center development, sourcing, and operations across the U.S.

Phillips Lytle LLP has expanded its Data Centers Practice Team to enhance its legal services for clients involved in data center development, sourcing, and management, announced in a press release. The firm’s multidisciplinary group advises operators, developers, and investors nationwide on siting, energy procurement, construction, acquisitions, sales, and operational compliance.

The expansion includes the addition of Special Counsel E. Barlow Keener, a telecommunications and privacy attorney with national experience in data center transactions, fiber acquisition, and regulatory matters. Keener joins a team of specialists covering practice areas such as real estate, land use, permitting, energy, telecommunications, environmental law, artificial intelligence, data privacy, and cybersecurity.

Phillips Lytle’s attorneys have supported projects including the acquisition of edge data centers in 14 states, the $30 million sale of a multitenant colocation facility in Philadelphia, and the development of major hyperscale and Tier 3 data centers. The firm also assists operators in drafting service and colocation agreements and navigating state and local regulatory requirements.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

AI Chips & Datacenters AI Brief AI Brief (X)
Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Guide
Private AI chip companies, by latest reported valuation

Private AI chip companies, by latest reported valuation

Private companies building AI compute silicon (the chips that run AI workloads), shown with each company's most recent reported or disclosed valuation. The figures are measured on different dates and bases, so this is a snapshot, not a live ranking or a like-for-like comparison.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.