National Tradesmen Day: Thank You to the Tradesmen Who Keep Our Communities Moving

construction workers

By Melissa Rolli, Paralegal National Tradesmen Day, observed on the third Friday of September each year, provides an opportunity to take a moment to honor the talented individuals whose labor actually creates and preserves the world we live in. We at Moriarty Underhill LLC want to take this opportunity to express our gratitude to the […]

Legislative Inaction on Artificial Intelligence

Artificial Intelligence

During the 2025 special session, the Colorado assembly considered making changes to the state’s unique artificial intelligence laws. As I’ve written about in prior blog posts, and in the Colorado Lawyer, Colorado’s law focuses on prohibiting discriminatory practices using AI or other algorithms in specific fields like insurance, housing, medicine, and law. Starting in 2026, […]

Small business round table

Round Table for Business Owners & Entrepreneurs Thriving Through Uncertainty May 8th, 9am – 12pm co-sponsored by Vectra Bank Round Table for Business Owners & Entrepreneurs Thriving Through Uncertainty: Navigate Economic Shifts with Confidence Rising tariffs. Inflation. Supply chain issues.The rules of business are changing—are you ready to adapt and thrive?Join a powerhouse panel of […]

Construction Increase

As a lawyer who deals with a lot of contractors, I’ve seen a lot of challenges in the construction industry in the 2020s. Anecdotally, it seems like construction costs have exploded in that time, and data from the Colorado Construction Cost Index Report (CCI) seems to back this up. According to that metric, construction costs […]

AI Interpretability

As you may know, I take a special interest in the growth of artificial intelligence. It is already roiling artistic industries, the subject of major lawsuits, and a key point of interest for businesses. However, the ability to automate creative intellectual tasks poses at least two serious risks in terms of being used to harm […]

AI Deception

I wrote a blog post a short time ago where I argued that understanding how and why a large language model is producing the output it does at a mathematical level is important if you want to avoid misbehavior. This was basically because prompting a model and reading its answers just samples the output of […]