10 Powerful Software Patent Examples Every SaaS Founder Should Study

When Amazon sued Barnes & Noble in 1999 over its “1-Click” checkout patent, it secured a preliminary injunction that forced its competitor to add extra steps to its checkout process during the crucial holiday shopping season. A single patent covering a technical workflow most engineers could sketch in an afternoon nearly derailed a rival’s peak revenue period. That’s the leverage software patents can create when drafted correctly. Big tech companies routinely use software patents strategically to protect their innovations, prevent infringement lawsuits, and limit competitors in the marketplace.

The stakes have only grown. The Government Accountability Office reports that in FY 2024, the USPTO received ~527,000 new patent applications and issued ~365,000 patents. The USPTO’s own FY 2025 Agency Financial Report counts 475,223 serialized (new) patent applications in FY 2025, a 2.0% increase over the year before. Meanwhile, WIPO’s 2024 Generative AI Patent Landscape Report documented an 800% surge in GenAI patent families since 2017, rising from 733 families in 2014 to over 14,000 in 2023. The prior-art density that modern software inventors face is historically unprecedented.

A software patent is a utility patent whose claims recite a concrete technical solution (method, system, or media) implemented using computing components. It must satisfy novelty and non-obviousness and clear the subject matter eligibility bar under 35 U.S.C. § 101. Critically, it protects the claimed method or system, not source code. Code is generally protected by copyright as “expression,” but as 17 U.S.C. § 102(b) makes clear, copyright does not extend to ideas, procedures, processes, systems, or methods of operation. That’s precisely where patents step in. Patent laws and the patenting process for software often involve business methods, which require careful technical description to overcome legal challenges regarding their abstract nature.

This guide walks through concrete, real-world software patent examples from e-commerce UX patents to foundational cryptography to modern AI, and integrates the latest USPTO guidance (2024 through 2026) that directly shapes how software and AI-heavy claims are examined today. If you’re a SaaS founder or tech startup assessing your IP strategy, our SaaS Patent Guide 2.0 is a useful companion resource.

Introduction to Software Patents

Software patents play a pivotal role in today’s technology-driven economy, offering a powerful form of intellectual property protection for innovative software inventions. By securing a software patent, developers and companies gain exclusive rights to use, sell, or license their software, effectively safeguarding their competitive edge in the marketplace. This patent protection not only incentivizes software developers to invest in research and development but also fosters a culture of innovation by ensuring that unique solutions are rewarded.

In the United States, the patent system is administered by the United States Patent and Trademark Office (USPTO). The USPTO reviews each patent application to determine whether a software invention meets the legal requirements for patentability, such as novelty, non-obviousness, and subject matter eligibility. A granted United States patent confers enforceable rights on its holder, allowing them to prevent others from making, using, or selling the patented software without permission. For software developers, understanding how the patent system works and navigating the trademark office’s requirements is essential for turning innovative ideas into protected business assets.

What Is a Software Patent? (With Concrete Legal Context)

In the United States, “software patent” is not a separate category of patents. It refers to a utility patent under 35 U.S.C. Title 35 whose implementation runs on one or more computing systems executing software. To be patentable, software must be new, useful, and non-obvious under national patent laws. A granted patent confers the right to exclude others from making, using, selling, offering for sale, or importing the claimed invention, with infringement governed by 35 U.S.C. § 271. Broad and diverse claim coverage is important for maximizing legal protection and preventing infringement. A typical U.S. utility patent term runs 20 years from the earliest effective filing date, subject to statutory nuances and, critically, maintenance fee payment. The USPTO emphasizes that patents can lapse if required maintenance fees aren’t paid, so “up to 20 years” really means “up to 20 years, if you keep paying.” Demonstrating an inventive step, meaning a significant, non-obvious advance over existing technology, is crucial for patent approval.

Software patents must also qualify as patentable subject matter under USPTO and Supreme Court standards, as not all software inventions meet these legal criteria. When describing a concrete technical solution, a software patent application must clearly articulate the inventive concepts that distinguish the invention from prior art. After filing a provisional application, a non-provisional application must be submitted with detailed disclosures to proceed to examination.

The Alice Framework: Still Governing, But Actively Evolving

Since 2014, software patents have faced an additional eligibility gate under Alice Corp. v. CLS Bank. The Supreme Court’s two-step approach asks whether the claims are directed to an abstract idea and, if so, whether they add “significantly more” via an inventive concept. This is why “do it on a computer” routinely fails and why claim architecture matters more than the underlying idea.

What’s changed recently is not the existence of Alice, but the USPTO’s increasingly explicit guidance on how examiners should handle AI-heavy claims:

• 2024 AI SME Update (effective July 17, 2024). The USPTO issued an eligibility guidance update, including on artificial intelligence,” issued under Executive Order 14110 and accompanied by new examples (47–49). That executive order was revoked in January 2025, but the update remains part of the USPTO’s current eligibility guidance. The memo provides clarity for AI inventions while remaining consistent with existing guidance.
• 2025 USPTO Reminders (Aug. 4, 2025). The USPTO cautioned against over-expanding the “mental processes” category, explicitly noting that AI claim limitations that cannot practically be performed in the human mind should not be treated as mental processes. For ML inference and training claims, this means specifying why the steps are computationally non-human: data scale, model operations, GPU/TPU constraints.
• USPTO SMED Memos (Dec. 4, 2025; updated April 30 and Sept. 29, 2026). The USPTO highlighted the use of Rule 132 declarations tailored to subject matter eligibility (“SMEDs”), representing an unusually direct nudge toward evidence-backed eligibility arguments in prosecution. An April 30, 2026 memo replaced the December 2025 best-practices memo, and a September 29, 2026 memo added a flowchart showing how examiners review SMEDs.
• Ex parte Desjardins (precedential, Nov. 4, 2025). In a September 26, 2025 Appeals Review Panel decision, the USPTO held that claims to training a machine learning model on new tasks while protecting its performance on earlier tasks (the “catastrophic forgetting” problem) were eligible because they improved how the model itself operates. A December 5, 2025 notice added the decision to MPEP § 2106, so examiners now apply it to AI and machine learning claims.

For a deeper dive into how these eligibility rules affect AI-specific patent strategy, see our AI Patent Mastery resource.

Europe’s Different Test: Technical Effect

Under the European Patent Convention, “computer programs as such” are excluded from patentability. Still, the EPO allows patents on computer-implemented inventions that provide technical character or a further technical effect beyond the program itself. In both the U.S. and Europe, successful software patents are won by proving technicality, not by repeating business outcomes.

While business methods are generally not patentable in Europe, software innovations related to mobile phones and other devices can be patentable if they provide a technical effect.

Types of Software Patents

When it comes to protecting software innovations, several types of patents are available, each serving a distinct purpose. The most common are utility patents, which cover the functional aspects of software, such as algorithms, data processing methods, and user interface logic. These patents are ideal for safeguarding the technical mechanisms that make a software program unique or efficient, and a more detailed overview of the significance of software patents in today’s technology-driven economy can help contextualize when utility protection makes sense.

Design patents, by contrast, focus on the visual and ornamental features of software, such as the layout and appearance of graphical user interfaces (GUIs), icons, and other design elements that contribute to the user experience. While they don’t protect the underlying code or functionality, design patents can be invaluable for companies whose competitive advantage lies in distinctive visual design.

Provisional patents, or more accurately, provisional patent applications, offer software developers a way to secure an early filing date while continuing to refine their invention. Filing a provisional application provides temporary protection and allows inventors to use the “patent pending” designation as they finalize the details of their software. This approach is especially useful in fast-moving fields, giving developers time to perfect their invention before submitting a full, non-provisional patent application, and aligns with step-by-step guidance on how startups can patent software efficiently.

Patent Application Process

Securing a software patent involves a multi-step application process designed to ensure that only truly novel and non-obvious inventions receive protection. The journey begins with a thorough prior art search, which helps identify existing technology and similar software solutions that could impact the patentability of your invention. This step is crucial for understanding the competitive landscape and avoiding costly surprises later in the process.

Once the prior art search is complete, the next step is preparing a comprehensive patent application. This legal document must include a detailed description of the software invention, often supported by flowcharts, diagrams, and, sometimes, code snippets to illustrate how the invention works. The application should explain the technical problem being solved and how the software provides a unique solution, mirroring the approach used in flat-fee patent preparation and prosecution services for software innovations.

After filing, the patent office assigns a patent examiner to review the application. The examiner may issue office actions, requests for clarification, or objections based on prior art or patent requirements. Responding effectively to these office actions is critical, and experienced patent attorneys can be invaluable allies throughout this process. Their expertise ensures that your application is robust, addresses examiner concerns, and maximizes your chances of securing patent protection for your software invention.

Famous Software Patent Examples in Consumer Tech

Amazon “1-Click” Ordering (U.S. Patent No. 5,960,411, 1999)

Amazon’s 1-Click patent is a canonical example of a UX innovation framed as a technical system: enabling purchases using stored customer information so checkout could occur through a single action. The protectable core wasn’t “one click is good.” It was the specific technical architecture enabling identity validation, session state, storage lookup, and transaction execution in a single server round-trip.

In Amazon.comv.Barnesandnoble.com, the Federal Circuit vacated a preliminary injunction, underscoring that even famous patents face serious validity questions regarding obviousness and prior art at the injunction stage. That outcome delivers a recurring software-patent lesson: implementation detail helps you obtain a patent, but does not immunize you from invalidity attacks.

Modern drafting implication: if your innovation is UX-facing (checkout flows, onboarding sequences, notification logic), draft like Amazon did. Tie the user flow to system constraints: authentication state, network request sequences, data structures, and fraud signal processing. Then, if eligibility is challenged, you have room to argue technical practicality and can support that argument with SMEDs, which the USPTO has spotlighted in memos from December 2025 through September 2026.

Google PageRank Algorithm (U.S. Patent No. 6,285,999, 2001)

PageRank illustrates how to frame an algorithm as a technical system rather than a mathematical formula. The “Method for node ranking in a linked database” was filed in 1998 and issued in 2001, with Stanford as assignee. What many summaries omit: Stanford’s licensing of PageRank became historically significant. Stanford’s Office of Technology Licensing noted the “liquidation of equity received from our license agreement with Google,” citing $336 million in its 2004–2005 annual report.

Why PageRank works as a software patent narrative: it frames math as (1) a representation of the web as a linked database/graph and (2) an iterative ranking process tied to specific data structures and outputs. This maps directly to the USPTO’s current emphasis on integrating a judicial exception into a practical application, especially relevant to AI and analytics claims today. Patent examiners review prior art to determine the patentability of such algorithms, ensuring that the claimed invention is novel and non-obvious relative to existing technologies.

Apple Multi-Touch iPhone Interface Patents

Apple’s multi-touch portfolio demonstrates a durable software patent pattern: gestures are not patentable as “gestures.” Still, they can be patentable as specific methods of interpreting touch input via heuristic rules and state transitions. U.S. Patent 7,479,949 (“Touch screen device, method, and graphical user interface for determining commands by applying heuristics”), issued January 20, 2009, protected the rule-based disambiguation and command determination process, not the general concept of touch input. When seeking patent protection, it is crucial to clearly describe the software’s functionality and demonstrate how it enhances computer functionality, such as by improving the way computers interpret and process touch input.

This maps directly to modern UI/AI intersections: disambiguating ambiguous multimodal commands, routing intents, and applying confidence thresholds. The USPTO’s August 2025 memo warns against oversimplifying AI inference as a “mental process.” Apple’s heuristics patent shows exactly how to anchor a decision-logic claim in computational specificity.

Microsoft, Uniloc, and the Damages Methodology Lesson

One of the most cited software activation disputes is Uniloc USA, Inc. v. Microsoft Corp., which involved U.S. Patent 5,490,216 (“System for software registration”), a patent asserted against Microsoft, not a Microsoft-owned patent. In this case, the claim coverage defined the scope of the patent-covered technology, which was central to the legal dispute and determined what aspects of software activation were protected. The Federal Circuit’s 2011 decision is widely cited not only for patent issues but for damages methodology: it rejected the “25 percent rule of thumb” as fundamentally flawed under Daubert. For software companies, that ruling changed how parties model value and negotiate risk in patent disputes involving software features.

Two clean takeaways: licensing and activation mechanisms can be patentable when the claims recite specific technical implementations (e.g., hardware fingerprinting, cryptographic challenge/response) rather than abstract “license checking.” And a strong patent is not the same thing as a strong litigation posture. Damages models and procedural outcomes can swing cases on non-technical grounds, as several examples in this article show, where enforcement strategy and claim scope were tightly intertwined.

Core Infrastructure Software Patents: Encryption, Networking, and the Web

RSA Public-Key Encryption (U.S. Patent No. 4,405,829, 1983)

RSA is a historically significant example of a cryptographic method protected by a patent, which later became broadly usable after its expiration. As the patent record shows, the RSA patent expired in September 2000, enabling open-source implementations without licensing constraints just as HTTPS adoption was taking off.

Lesson for modern security and AI teams: if you can quantify a security improvement (reduced handshake time, lower compute cost for signature verification, measurable resistance to a documented attack), describe the invention as a concrete computer-implemented security method with measurable system effects. Optimizing the software code to minimize the computing resources required for encryption can further demonstrate the uniqueness and non-obviousness of the invention, strengthening its patentability. That framing aligns with both U.S. § 101 practice and the EPO’s technical effect orientation.

SSL/TLS and Secure Web Sessions

SSL/TLS-era patenting illustrates a drafting technique still relevant today: claim the system as a sequence of protocol steps, message flows, and validation operations (state machines), rather than a formula in isolation. Many SSL/TLS patents covered specific protocol steps and their interactions with other software systems to ensure secure communication. Patents survived longer when anchored to implementation specifics (message formats, token handling, handshake state, key storage strategy) and tied to a security problem with a technical explanation. The same logic applies today to secure messaging, device attestation, passkeys, and API authentication.

TCP/IP and the VirnetX Cautionary Tale

The open adoption history of the core TCP/IP stack limited proprietary patent control over foundational protocols. But later optimizations, including congestion control, VPN tunneling, and NAT traversal, have been heavily patented. The VirnetX v. Apple litigation is instructive not as a success story, but as a strategic warning: the Federal Circuit’s March 31, 2023, decision vacated and remanded with instructions to dismiss as moot because the asserted patent claims were found unpatentable in PTAB proceedings. Even a multi-hundred-million-dollar district court verdict can collapse when underlying claims are invalidated post-grant. For international patent protection of networking technologies, filing under the Patent Cooperation Treaty can streamline applications and help secure rights across multiple countries. Draft strong from day one.

Judicial Landmark Cases and What They Teach

Alice Corp. v. CLS Bank(U.S. Supreme Court, 2014)

Alice remains the inflection point for software patent eligibility. Its two-step analysis is why software patent claims must demonstrate a concrete technical improvement rather than merely computerize a business concept. The practical update for 2024 through 2026 is that the USPTO has issued materially more AI-specific teaching materials that change how to argue eligibility, even if they don’t alter the Supreme Court’s test: the 2024 AI SME Update,2025 reminders on avoiding overbroad “mental process” treatment, 2025 and 2026 guidance on eligibility-focused declarations, and the precedential Ex parte Desjardins decision.

Enfish, LLC v. Microsoft Corp.(Fed. Cir. 2016)

Enfish established that software claims can be patent-eligible when directed to “a specific improvement to the way computers operate,” in this case, a self-referential data structure that improved how computers store and retrieve information. The court’s reasoning suggests that when novelty is architectural (a schema, an indexing structure, a cache eviction policy, a model-serving architecture), claims fare best when they focus on computer performance and structure rather than user outcomes. In particular, the invention enhanced computer functionality by optimizing the use of computing resources, making the computer operate more efficiently. The USPTO relied on Enfish when it added Ex parte Desjardins to the MPEP in December 2025.

McRO, Inc. v. Bandai Namco(Fed. Cir. 2016)

McRO is particularly relevant for automation systems: the invention used specific rules to automate lip-sync and facial animation for 3D characters. The Federal Circuit found these claims eligible because they recited “a combined order of specific rules” that improved how the computer performed animation, distinguishing between claiming the idea of automation and claiming specific rules that produce a technical result.

For AI-era inventions, the McRO logic is directly applicable. ML systems often replace human-written rules with learned parameters, but the post-2024 USPTO guidance doesn’t grant AI a free pass. It stresses tying claims to a practical application and avoiding the appearance of a mental process. Successful AI patent claims tend to focus on model architecture, data transformations, runtime constraints, and measurable effects (latency, memory, accuracy under specified conditions). Clearly articulating the inventive concepts behind the automation is crucial for patent validity, as these technical elements demonstrate novelty and an inventive step.

Modern Software Patent Examples: AI, Blockchain, Web3, and Mobile

AI and Machine Learning Software Patents

The numbers here are striking. WIPO’s 2024 Generative AI Patent Landscape Report found GenAI patent families rose from 733 in 2014 to over 14,000 in 2023, an 800% increase since 2017. This is global data, but it directly affects U.S. applicants by reflecting the prior-art density that modern AI applications now face. Your claims must be differentiated not just from human-implemented methods, but from thousands of published AI patent applications, and founders should understand the intricacies of patenting artificial intelligence inventions under evolving USPTO guidance.

A concrete example: Shopify’s application US20240160902A1 (published in 2024 and granted on May 12, 2026 as U.S. Patent No. 12,626,108) covers technical methods for controlling similarity and duplication behavior in generative AI outputs. It illustrates a patentable theme: specific computational mechanisms for constraining what a model produces in a production system, with measurable effects on output quality and originality. The use of training data to improve model reliability and accuracy is often a key factor in AI software patents, as both training and test data can demonstrate technical improvements. If you’re building AI-powered SaaS products, this is the kind of claim architecture worth studying closely. Our AI Patent Mastery resource goes deeper on how to structure these claims for maximum protection.

Two high-leverage practice updates teams frequently miss:

1. Eligibility is now taught “AI-first,” but still demands practical application. The 2024 USPTO guidance frames AI eligibility analysis under the existing framework with AI-specific examples. Generic claims about “using machine learning to [business task]” still fail Alice. Patent claims should clearly describe how the software solves a specific technical problem or achieves a technical effect to establish patent eligibility.
2. Don’t let claims sound like “a human could do this mentally.” The August 2025 USPTO memo warns against overusing the mental processes category, where AI limitations aren’t realistically human-performable. Specify computational non-human scale operations: embedding vectors over millions of items, transformer attention computations, GPU/TPU kernel operations.

Inventorship is a parallel constraint. The USPTO’s Feb. 2024 inventorship guidance emphasized that AI-assisted inventions are not categorically unpatentable, but inventorship must focus on human contributions. Notably, the revised guidance published Nov. 28, 2025, rescinded the February 2024 guidance in its entirety. It applies the same conception-based inventorship standard to every invention, treats AI systems as tools (like lab equipment or software), and limits the Pannu joint-inventorship factors to cases with more than one human contributor. Only natural persons can be named as inventors.

Blockchain, Web3, and Smart Contract Patents

Blockchain patenting remains feasible but uniquely vulnerable to prior art from whitepapers, open-source repositories, and standards documents. Successful claims emphasize concrete technical contributions, such as scalability improvements, specific consensus mechanisms, cryptographic privacy techniques, and resource efficiency. That’s the same technical effect story that maps well to EPO expectations. Blockchain patent applications often include detailed descriptions of software code and require a well-prepared software patent application to withstand examination, much like broader strategies for legally protecting software as intellectual property.

Actionable drafting pattern: if your novelty is “off-chain aggregation reduces congestion,” define the message formats, integrity checks, settlement triggers, and how the mechanism measurably changes system resource usage (bandwidth, block space, confirmation delay). Those specifics are what convert blockchain “ideas” into system claims that survive Alice-style scrutiny.

Mobile Apps and User Interface Innovations

Mobile patents continue to be granted when they claim technical mechanisms rather than screen flows. Apple’s heuristics patent remains the template: claim state transitions, sensor/touch inputs, decision logic, and output behavior. Many patents covered innovations in mobile devices and mobile phones, including technical improvements to app performance and user interfaces. Modern mobile patent claims succeed when tied to performance improvements (battery life, inference latency, reduced bandwidth) that can be quantified, which is especially important when identifying and patenting key software features in SaaS products.

Given the USPTO’s 2025 and 2026 emphasis on SMED best practices, when your novelty is performance, consider whether your prosecution strategy should include evidence-backed assertions from the outset, rather than treating declarations as a reactive tool when rejections arrive. The USPTO’s September 2026 memo notes that filing a SMED as early as possible, even before the first office action, may be advantageous.

Benefits of Software Patents

Obtaining software patents offers a range of strategic and commercial benefits for software developers and companies. First and foremost, a strong software patent grants exclusive rights to use, sell, or license the protected invention, creating a legal barrier that prevents competitors from copying or exploiting your innovation without authorization. This exclusivity is a powerful tool for recouping investments in software development and for establishing a defensible market position.

Beyond protection against infringement, software patents can significantly enhance the commercial value of your business. Patents are valuable assets that can attract investors, support higher company valuations, and open doors to lucrative licensing agreements. By licensing patented technology to other companies, developers can generate additional revenue streams and foster industry partnerships, all while maintaining control over how their software is used.

In a competitive landscape where imitation is common, software patents provide peace of mind and a tangible return on innovation. For software developers looking to build lasting value, patent protection is an essential component of a comprehensive intellectual property strategy.

How to Shape Your Own Patenting Strategy

The companies that built empires on software patents, and the ones that successfully defend against them, share one trait: they treat patents as a technical writing discipline, not an after-the-fact legal formality. Here’s a workflow grounded in what the latest guidance implies.

Step 1: Map inventions to technical bottlenecks. Start by identifying what your system actually improves: latency, correctness, compute/memory usage, security, scaling, or resilience. That mapping is what you’ll need to show practical application under Alice and, when relevant, argue against “mental process” characterizations in AI claims. Review prior art references to ensure your invention is novel and not already disclosed. To improve the chances of obtaining a software patent, applicants should conduct a prior art search to identify existing patents that may affect their application and to refine a realistic view of what software is actually patentable.

Step 2: Decide how to protect each component. If you can observe it from the shipped product (protocol steps, model-serving architecture, client-server interactions), patents are often the more realistic lever. If secrecy is sustainable (model weights, internal training recipes, non-public heuristics), trade secrets may outperform patents in practice. That’s a business and legal risk decision that depends on the feasibility of reverse-engineering.

Step 3: Treat filing as a discipline in timing and documentation. Lock down invention narratives early: problem → technical constraints → architecture → measured effect. File before public disclosure whenever possible. Use examiner-facing materials strategically. Recent USPTO memos show a growing willingness to weigh eligibility-focused declarations (SMEDs), and evidence submitted in prosecution is no longer an afterthought. Clearly defining claim coverage is crucial to maximizing legal protection and preventing infringement.

For SaaS founders navigating these decisions, our SaaS Patent Guide 2.0 walks through how to structure IP protection at each stage of the company’s growth, complementing broader guidance on the types of IP protection SaaS startup founders should consider.

Application and Consultation

Navigating the complexities of software patents requires both technical insight and legal expertise. Before applying for a patent, software developers should consult experienced patent attorneys specializing in software inventions. A free consultation with a reputable law firm can help you assess the patentability of your software, identify the most promising aspects to protect, and develop a tailored strategy for securing patent protection.

During this initial consultation, patent attorneys will review your invention, discuss your business goals, and recommend the best course of action, whether that means filing a provisional application to secure an early filing date or preparing a comprehensive non-provisional patent application. Working with a law firm that understands the nuances of software patents ensures that your application is meticulously prepared, addresses all legal requirements, and stands up to scrutiny from the patent office.

By partnering with experienced patent attorneys from the outset, you maximize your chances of obtaining a valuable patent and position your software invention for long-term success. Don’t leave your innovation unprotected. Schedule a free consultation to take the first step toward robust patent protection.

Controversies, Limitations, and the Future of Software Patents

Post-Grant Validity Volatility

Even after years of prosecution and substantial legal budgets, patents can fall in PTAB or on appeal. VirnetX illustrates the “validity first” reality: when asserted claims are ultimately found unpatentable, the enforcement case collapses. PTAB’s FY24 Outcome Roundup shows institution rates around 68%, with a substantial share of challenged claims ending in unpatentable findings, settlements, or dismissals. That rate has since fallen, mostly through discretionary denials: PTAB’s statistics show 50% of petitions instituted in FY 2025 and 41% in FY 2026 (36% for electrical and computer patents). Fewer challenges now reach trial, but those that do still test validity on the merits. This is precisely why drafting quality matters from day one. Weak claims don’t just fail in court; they fail before you ever get there.

Litigation Volume Is Real and Measurable

Patent disputes are not edge cases. U.S. Courts data show 4,121 patent cases commenced in the 12 months ending September 30, 2025, up from 3,356 a year earlier, with additional patent-related ANDA case counts tracked separately. Software companies of any meaningful scale operate in an environment where patent risk is a business variable, not a theoretical concern. The best defense is a well-drafted, technically grounded patent portfolio built before you need it.

Legislative Reform Remains Active

Congress continues to consider reforms to § 101. The Patent Eligibility Restoration Act was reintroduced in 2025, signaling that stakeholders still view the current framework as unstable for innovation policy. As of November 2026, the bill (S. 1546) has had a Senate subcommittee hearing in October 2025 but no committee vote, so it remains a proposal, not enacted law. Practitioners should monitor developments.

Where the Evidence Points for 2026 and Beyond

The USPTO’s actions through 2026 point toward three pragmatic truths for software teams:

1. Eligibility arguments must be technical and tied to practical application (reinforced by the 2024 AI SME Update and the precedential Ex parte Desjardins decision, which the USPTO added to the MPEP in December 2025).
2. AI claims must be drafted to avoid “human mental process” framing, where scale and practicality make that characterization inaccurate (August 2025 reminder memo).
3. Evidence matters more than it used to in § 101 practice (SMED memos of December 2025, April 2026 and September 2026).

The courts have not moved as far as the USPTO. In Recentive Analytics v. Fox Corp. (Fed. Cir. April 2025), the court held ineligible patents that simply applied generic machine learning to new data, and the Supreme Court declined to hear the case in December 2025. USPTO guidance shapes examination, but issued patents are still judged in court under Alice. Claims built on a specific technical improvement, as in Desjardins, Enfish and McRO, are the ones positioned to hold up in both places.

The companies that built empires on software patents and those that successfully defend against them share one trait: they treat patent strategy as technical writing with legal constraints, not as a box to check after shipping. Study the examples above as engineering documents. Map your inventions to measurable improvements. File before disclosure. And build your prosecution strategy around evidence from day one.

Your Next Steps to Software Patent Success

Software patents are one of the most powerful competitive tools available to SaaS founders and tech innovators, but only when drafted with technical precision, filed at the right time, and supported by a prosecution strategy built around evidence. The real-world examples in this article (Amazon, Google, Apple, and the cautionary VirnetX outcome) all point to the same conclusion: the quality of your patent application determines whether your IP is an asset or a liability.

The bottom line: weak patents don’t just fail to protect you, they give competitors a roadmap. A poorly drafted software patent signals where your technology lives and what you consider valuable, without actually blocking anyone from copying it. Strong patents, by contrast, deter competitors before disputes ever arise and hold up when challenged.

Every week you delay filing is a week a competitor could publish prior art, ship a similar feature, or file first. The U.S. patent system is first-to-file, not first-to-invent. If your software or AI innovation is in development or recently shipped, the window to establish priority is open right now, and it won’t stay open indefinitely.

Here’s what to do next:

1. Schedule a Free IP Strategy Call with the RLG team to assess the patentability of your software or AI invention and develop a tailored filing strategy.
2. Document your technical differentiators now. Map each invention to a measurable improvement (latency, accuracy, resource efficiency) before your next public disclosure or product launch.
3. Download the SaaS Patent Guide 2.0 to understand how to build an IP portfolio that supports VC fundraising and competitive moats.
4. Explore the AI Patent Mastery resource if your product involves machine learning, generative AI, or automated decision-making. The eligibility landscape has changed significantly in the past 12 months.

The founders who protect their software IP early are the ones who control their markets later. A well-timed, technically grounded patent portfolio is not a legal expense; it’s a strategic asset that appreciates as your company grows and competitors try to catch up.

To Your Success,

Andrew Rapacke, Managing Partner, Registered Patent Attorney, Rapacke Law Group (about Andrew Rapacke and Rapacke Law Group) LinkedIn: Andrew Rapacke | Twitter/X:@rapackelaw | Instagram:@rapackelaw