Posts Tagged: "patent portfolios"

Building High-Quality Patent Portfolios in the United States and Europe: Part I – Intervening Prior Art

One ingredient that distinguishes a good patent portfolio from a great patent portfolio can be the synergistic strength of its U.S. and European patent family members. To develop this strength, it is not enough to have a U.S. attorney and a European attorney simply coordinate the procedural strategy for filing an application; rather, the drafter and manager of the application should analyze important issues upfront and prepare a patent application that accounts for the substantive differences between U.S. examination, U.S. courts, European examination, and national courts in Europe.

Three Ways to Future-Proof Your IP Portfolio

The COVID-19 pandemic has caused a dramatic shift in how IP professionals manage their patent and trademark portfolios. Fortunately, many IP law firms and corporate IP departments have survived and managed well in this new environment. They are even showing great optimism as the industry trends toward greater consolidation and tighter global integration. Nonetheless, major concerns remain, challenging both IP owners and their advisers to find more effective ways to solve their portfolio management challenges while focusing on the long-term strategic value of IP.

Maximize Your Patent Portfolio Using Helferich-Style Claims

Patent owners often obtain patents to protect products, as well as complementary products or use cases associated with those products. However, when selling or licensing the patented products, a patent owner may inadvertently extinguish potential revenue streams associated with the complementary use cases due to the doctrine of patent exhaustion. Patent exhaustion follows the basic idea that if a company sells or licenses a patented product to a buyer, the company cannot sue the buyer (or a third party that the buyer provides the patented product to under the license) for patent infringement for using the product. Patent owners should take care when preparing and licensing patents to ensure that infringement claims for complementary products or use cases associated with patented products are not exhausted by the sale or licensing of the patented products, as shown by the Federal Circuit case of Helferich Patent Licensing v. New York Times, 778 F.3D 1293 (Fed. Cir. 2015).

Examining Samsung’s and LG’s LCD Patent Portfolios Following Decisions to Halt LCD Production

Samsung Display and LG Display, the two South Korean technology behemoths, announced plans earlier this year to stop the production of LCDs by the end of 2020. The announcements first appeared in Reuters’ reports and aim to consolidate the two companies’ lead in organic light emitting diode (OLED) panels, while conceding to Chinese manufacturers who have aggressively expanded their LCD productions. LCD prices have slumped over the years, as Chinese manufacturers backed by state subsidies have aggressively expanded production capacities. The plunging LCD prices have widened the operating losses at both Samsung and LG Display and finally led to the decision to cut production by year’s end.

Artificial Intelligence Accelerates Decision-Making in Patent Portfolio Management

Contemporary AI technology of the kind one has increasingly heard about in recent years is based on machine learning and deep learning methodologies. These use large amounts of computing power to crunch thousands of sample input-output pairs to train adaptable data structure models. Eventually, they are able to produce their own correct outputs when presented with an nth + 1 input. These can be thought of as questions and answers. If an AI model is given, say, 10,000 sample questions with correct answers, it will be able to correctly answer the 10,001st question by itself. Once trained, computing requirements are low. Due to the nature of the methodology, AI is appropriate for situations that involve repetitive decision-making processes. For one thing, many existing examples of correct decisions must be available during the training. Further, after the training phase, a system is applied to similar situations over and over again. Because of this, the application space for AI is sometimes overblown. However, once understood, this limitation usefully directs our attention to instances of decision-making that can be automated or made more efficient using AI. If we consider patent portfolio management in terms of constituent decision-making processes, we might be able to identify which of them are appropriate for the application of AI.