Bret Tingey is a patent attorney and Associate at Harrity & Harrity, LLP. Bret’s practice is focused on patent preparation and prosecution for domestic and foreign applications in electrical, mechanical, and medical technology fields. More specifically, Bret’s experience includes working with telecommunication standards, RF filters, semiconductor chips, image editing software, software productivity tools, power efficiency software, VR and AR imaging software and hardware, batteries, solar energy systems, medical devices, carbon nanotube technologies, and acoustics.
While completing his degree in applied physics, Bret researched and developed fabrication systems for manufacturing carbon nanotubes. Bret also researched applications of carbon nanotubes in high-efficiency batteries.
Upon graduation from law school, Bret began his legal career with a specialty in IP litigation. While performing litigation, Bret was able to participate in writing memos and briefs, including those for submission to the United States Supreme Court. While he now primarily focuses on patent preparation and prosecution, Bret applies his litigation experience to every patent that he drafts or prosecutes.
A patent portfolio can be one of the greatest assets that a company owns. A patent portfolio may boost a company’s valuation for a stock offering or a sale, may be licensed for recurring revenue, may be sold to raise cash, or may be enforced to seek monetary damages or to exclude competitors from the market. However, growing a patent portfolio can be expensive. For this reason, many companies hire a portfolio manager to balance the value and expense of growing and maintaining the patent portfolio. A portfolio manager may be responsible for making decisions including a total target number of patent filings, target numbers of patent filings for different technology areas of the company, patent firms to use for filing and prosecuting patent applications, or how to manage costs per issued patent. The portfolio manager can improve the decision-making process by using data-driven decision making. This article shows some examples of data-driven decision making.