Ludwig, APC

10/05/2026

2026 has not been a quiet year for intellectual property matters. AI adoption, brand protection pressures, patent eligibility battles, and trade secret disputes have all collided to reshape how companies defend and leverage their IP. While no one has a crystal ball, Ludwig is seeing clear signals in this year’s litigation patterns that foreshadow the disputes likely to define 2027.

Ludwig IP Law breaks down the major 2026 IP litigation trends shaping AI, trademarks, patents, and trade secrets—and how IP owners/creators can prepare as they head into 2027.

10/05/2026

Patent litigation to watch: Hikma v. Amarin

The Supreme Court’s June 2026 decision in Hikma Pharmaceuticals USA Inc. v. Amarin Pharma, Inc. provides important guidance for pharmaceutical companies navigating induced patent infringement and “skinny label” strategies.

The case centered on Amarin’s cardiovascular drug Vascepa and whether Hikma’s labeling and related communications actively encouraged physicians to use the generic drug for a patented indication. The Supreme Court unanimously held that Hikma did not actively induce infringement, emphasizing that liability requires affirmative steps to encourage infringement.

For pharmaceutical companies, the decision has implications beyond the specific dispute. Patent owners and generic manufacturers should carefully consider how method-of-use patents, FDA-approved labeling, websites, press releases, and other communications can intersect with infringement risk. The case also highlights the importance of coordinating patent strategy with regulatory and marketing considerations.

At Ludwig IP Law, we help clients navigate complex patent disputes with practical, litigation-focused strategies.

Read our full analysis of Hikma v. Amarin:
https://na2.hubs.ly/H084Jyw0

Ludwig IP Law breaks down the Supreme Court’s Hikma v. Amarin decision and what it means for patent enforcement, skinny labels, and pharmaceutical litigation.

10/02/2026

Have questions about protecting your intellectual property? Ludwig, APC provides strategic guidance across patents, trademarks, copyrights, and trade secrets — from registration and counseling to enforcement and defense. We help businesses protect, grow, and defend what they’ve built.

Contact us today---> https://na2.hubs.ly/H084w490

10/01/2026

2026 has been a significant year for intellectual property litigation, and the trends emerging now are likely to continue shaping how businesses protect their IP in 2027. AI-driven creation, trademark enforcement, patent eligibility, and trade secret protection are all evolving as courts address new technologies, changing business practices, and increasingly complex disputes.

For businesses, the takeaway is that yesterday’s IP strategy may not be enough for tomorrow’s challenges. Companies should be looking closely at how they document human involvement in AI-assisted work, monitor and enforce their trademarks, evaluate patent portfolios, and protect confidential information across employees, partners, and increasingly distributed teams. Litigation readiness should also be part of the strategy—not something addressed only after a dispute begins.

As we head toward 2027, proactive IP planning can help businesses identify vulnerabilities before they become costly disputes. At Ludwig, we help clients navigate evolving IP issues and build practical strategies designed to protect their innovations, brands, and proprietary information.

Read our full article to see the IP litigation trends businesses should be watching in 2027: https://na2.hubs.ly/H084wfy0

Ludwig IP Law breaks down the major 2026 IP litigation trends shaping AI, trademarks, patents, and trade secrets—and how IP owners/creators can prepare as they head into 2027.

09/30/2026

If AI makes professional work faster, does that mean it should cost less?

That question is becoming increasingly relevant as AI changes how professional services are delivered. The technology can reduce the time required for research, drafting, analysis, and other knowledge-based work, but efficiency does not necessarily diminish the value of the expertise behind the final result. Knowing what questions to ask, how to evaluate the output, what risks to identify, and how to apply professional judgment remain critical parts of the work.

For legal services in particular, AI may accelerate certain tasks, but it does not replace the responsibility, judgment, strategy, and accountability that come with advising a client. The real question may not be how many hours AI eliminates, but how that efficiency can translate into greater value for the client.

Read Daniel Obodovski's article for a thought-provoking look at how AI is changing the economics of professional services and what that could mean for the future of legal work: https://na2.hubs.ly/H084vwW0

AI made knowledge work more efficient before the market learned how to price it

09/23/2026

AI can help you understand a legal problem. It can’t understand your case.

Tools like ChatGPT can be useful for researching general IP concepts, organizing questions, and getting oriented before speaking with counsel. But when an actual dispute is involved, the outcome can depend on details that a chatbot cannot evaluate, including contracts, evidence, jurisdiction, deadlines, ownership, and the specific facts surrounding the dispute.

The risks can become especially significant when businesses rely on AI-generated information to make decisions about infringement claims, cease-and-desist letters, or other time-sensitive legal matters. An incorrect answer or missed detail can lead to consequences that are much more costly than the initial legal consultation.

AI has a place in the legal process. Use it to get organized and ask better questions. When your rights, business, or intellectual property are on the line, make sure you have advice tailored to the facts of your situation.

Read Ludwig’s latest article for a closer look at where AI can help, where it falls short, and when professional IP counsel matters: https://na2.hubs.ly/H07-mvf0

AI can explain the law, but it cannot weigh your facts or protect your case. Read why "free" ChatGPT advice may cost more than hiring an IP litigator.

09/21/2026

Your content is an asset. Protect it like one.

Businesses create valuable copyrighted works every day, from website content and marketing materials to software, graphics, videos, training materials, and other original works. But creating something does not automatically mean your ownership, licensing rights, or ability to enforce those rights are fully protected.

A strong copyright strategy can help businesses establish ownership, manage registrations, structure licensing opportunities, address fair use questions, and respond when copyrighted work is misused. Taking a proactive approach can help turn intellectual property into a valuable business asset while reducing uncertainty when disputes arise.

Have questions about protecting or leveraging your copyrighted work? Explore Ludwig’s copyright services to learn how strategic IP counsel can help: https://na2.hubs.ly/H07XDHj0

09/17/2026

AI is becoming an increasingly common tool for businesses developing new brands, including brainstorming names and conducting preliminary trademark research. But there are important limitations to what AI can tell you about trademark protection.

An AI-generated search may overlook similar marks, common-law use, related goods and services, or other factors that can impact whether a mark is available or creates a likelihood of confusion. And while registering a domain name, forming a business, or claiming a social media handle may establish certain rights, none of these steps automatically provides trademark protection.

AI can be helpful during the early stages of the process, but it shouldn't replace a comprehensive trademark search and legal analysis.

In our latest article, Ludwig explores what AI can—and cannot—tell you about trademark law and what businesses should consider before committing to a new brand name.

Thinking about using AI to research a new brand name? Read the full article to learn what AI may be missing. https://na2.hubs.ly/H07TNJZ0

Thinking of using AI to check trademark availability? Learn the common AI trademark mistakes IP owners make and why a real clearance search still matters.

09/14/2026

Bringing a medical device to market is challenging. Protecting the innovation behind it can be just as complex.

Medical device companies face a crowded patent landscape filled with existing patents, published applications, clinical research, and competing technologies. Demonstrating what makes an invention new and non-obvious is only part of the challenge. Patent strategy may also need to account for FDA timelines, clinical testing, software or AI components, future product variations, and the broader IP portfolio.

For startups, clinician-inventors, and established med-tech companies, the goal should be more than simply obtaining a patent. A strong IP strategy should support commercialization, regulatory planning, investment, licensing, and long-term growth.

Developing a medical device? Read Ludwig’s latest article for key considerations when pursuing patent protection in a crowded field:
https://na2.hubs.ly/H07Qc7x0

Patenting a medical device demands attention to detail in a crowded field. Ludwig helps innovators navigate prior art, regulatory timing, and examiner scrutiny to secure strong, defensible protection that supports commercialization and long-term growth.

09/09/2026

The rules around AI are being written in real time.

As AI reshapes how businesses create, manage, and distribute digital content, courts are being asked to address questions that didn’t exist just a few years ago. Can AI companies scrape publicly available content to train their models? When can platforms be held responsible for AI-generated material? And can AI prompts and outputs become evidence in litigation? Recent cases are beginning to address these issues, but the legal landscape remains unsettled.

For businesses, the takeaway is clear: AI is no longer just a technology issue. It can create real legal and litigation risks. How your organization uses AI, what information it puts into these systems, and how proprietary content is protected can all become important considerations.

Read Ludwig’s latest article for a closer look at the cases shaping AI data scraping, platform liability, and the discovery of AI prompts and outputs: https://na2.hubs.ly/H07JxQT0

As courts reshape the rules around AI data scraping, platform liability, and discovery of AI prompts, Ludwig IP Law breaks down what these rulings mean for IP owners, litigators, and digital platforms navigating AI driven risk.