Harvard University’s tax-exempt status has been questioned by the Trump Administration—with Harvard responding that there is no legal basis for a revocation. The Administration’s action...
Many states are implementing energy benchmarking programs to track and identify energy use in buildings. These programs aim to encourage energy efficiency and reduce greenhouse gas emissions. Check out...
When engaging in M&A discussions, parties should prioritize rigorous confidentiality measures to protect sensitive business information. Our new confidentiality agreement playbook offers valuable insights...
This practice note discusses Institutional Review Boards (IRBs) within the United States, including their purpose, history, and regulatory framework. The note is a valuable resource for advising life sciences...
Do you need guidance on tipped employee requirements under the Fair Labor Standards Act (FLSA)? Read our newly published checklist, Tipped Employees Checklist (FLSA) , for helpful information. Read now...
Federal laws have introduced new regulations and guidelines for lenders using artificial intelligence (AI) and machine learning (ML) tools, particularly focusing on fair lending practices. These laws aim to ensure that AI and ML are used in a manner that promotes fairness, transparency, and non-discrimination in lending. Explore this practice note written by Will Atherton and Edrius D. Stagg of Reed Smith LLP for an insightful overview on the use of AI and ML in consumer lending, an examination of the regulatory landscape, and best practice recommendations.
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