When you’re searching for the best attorneys to help with your AI startup, you want a law firm that understands the underlying technology of artificial intelligence and large language models. When you’re trying to find the best attorneys to assist with your AI startup, you want to find a law firm that understands the underlying
Traverse Legal Expert Articles
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Law Firms Better Be Ready for Private Equity
Private equity has entered legal services with force. Investors now see law firms not as untouchable guilds but as scalable businesses. Alternative Business Structures (ABS) and Managed Services Organizations (MSOs) open the gates to a whole different world of delivery of legal services to clients. These models dismantle the ban on outside ownership and create…
MCP and the Future of AI Integration: What Founders Need to Know.
Many of the traditional legal issues faced by technology startups also apply to artificial intelligence startups. Although there are some unique challenges related to model-context-protocol developers and startup companies, the foundational requirements remain largely the same. These include establishing the appropriate corporate structure, identifying and protecting intellectual property, creating contracts for contractors, founders, and employees,…
NIL Contracts Are Getting Smarter and Riskier: Legal Moves Every Athlete Should Make
Power, Paychecks, and Pressure
The amateur era is over. With the NCAA’s $2.8 billion settlement now approved, student-athletes are no longer playing only for scholarships. Real money is on the table, and so are real legal consequences.
This shift isn’t just about opportunity. It’s about risk. Athletes are signing contracts that look more like…
Recent Lawsuits Against AI Companies: Beyond Copyright Infringement
The pace of AI innovation is staggering. But with that growth comes a rising tide of litigation, often extending far beyond the usual copyright disputes. Today, AI companies face legal challenges in areas that strike at the core of how their systems collect data, make decisions, and impact people’s lives.
From biometric privacy violations to…
Don’t Get Sued Over Your AI Data: Legal Compliance for AI Companies
AI doesn’t run on magic. It runs on data.
If you’re building models, integrating with OpenAI, or launching a SaaS product that processes user input—you’re relying on data to power your technology, shape your outputs, and train your systems. Here’s the risk: if your AI system is trained on data you don’t own—or can’t legally…
AI Twins and Avatars: Legal Risks for Companies Using Synthetic Voice and Likeness Technology
The rapid advancement of AI-generated avatars, commonly referred to as “AI twins” is transforming how businesses delegate tasks, interact with customers, and scale their brand. A founder can now deploy a digital version of themselves to attend meetings, pitch investors, or onboard users without ever hitting “join” on a Zoom call. Enterprise teams are experimenting…
How Can a Crypto Lawyer Help You With Your Blockchain Project or Legal Issue?
New and emerging technology is always exciting and interesting to learn. Traverse Legal’s attorneys have always prided themselves on understanding the underlying technology for emerging industries such as blockchain and crypto. As importantly, the rapid rise of cryptocurrencies and blockchain technology has created an entirely new category of legal work. Crypto law is not…
The Ultimate Legal Checklist for AI Startups: What You Need to Know
AI startups face a unique paradox: while innovation can happen overnight, legal clarity often takes months—and not getting it right can cost you everything. Whether you’re building proprietary LLM infrastructure, training models on licensed datasets, or deploying AI-driven tools for end users, the stakes are high. Legal mistakes in the early days may not show…
Copyright in the Age of AI: Why Publicly Visible Content Isn’t Free for the Taking
Generative AI depends on data—and lots of it. From search engines and large language models to image generators and music tools, these systems are trained on massive datasets, often pulled directly from the public web. Think news articles, social media posts, lyrics, books, stock images, etc.
But here’s the catch: just because content is publicly…