Working side-by-side with our clients, we leverage every possible IP-related opportunity to maximize revenue and accomplish their business objectives.
Who we are
Intellectual property laws, and the competitive landscape in many industries, are shifting rapidly. Now more than ever, attorneys need to bring not only sharp legal skills, but also a deep knowledge of technology, and excellent industry-specific business judgment to every matter.
There are few assets more valuable than your intellectual property. Effective navigation in an increasingly competitive market has never been more important. Protecting your innovations and minimizing costly disputes and interruptions to your business are essential to generate revenue and stay a step ahead of your competition.
We understand that our clients’ innovations serve as the foundation for building strong companies and reputations. We help clients stay abreast of the ever-changing U.S. patent system, monitor rapidly shifting social media trends that impact our clients’ brands, intimately understand our clients’ competitive landscape, and vigorously defend our clients’ IP rights.
Who we work with
- Cutting edge technology companies
- Consumer product and services companies
- Life science companies
- Leading universities and academic medical centers
- Nixon Peabody Recruits Three Novak Druce Attorneys for IP Team
Law360 | September 8, 2016
The following coverage highlights the arrival of the IP counseling and transactions team of San Francisco partner On Lu, Washington, DC, counsel Ed Quiñones and Silicon Valley associate Zhou Lu.
- Rainmaker Q&A: Nixon Peabody's Jeffrey Costellia
Law360 | September 7, 2016
This profile features Washington, DC, partner, chair of the Global Strategies committee and leader of IP Counseling & Transactions Jeff Costellia. The Q&A showcases his focus on client service and he offers advice to new attorneys building their practices.
- The Healing Power of AI
Tech Crunch | August 12, 2016
Silicon Valley IP litigation associate Erik Birkeneder authored this article about how deep learning algorithms can have the potential to improve medical diagnostics and care.