For any in-house IP lead or founder, the takeaways are practical. First, if you’re building an own brand trade mark strategy, register the name, logo and packaging before you engage a contract manufacturer, and make IP ownership explicit in the supply agreement — Costco’s leverage rests on owning the brand, not the factory. Second, know that “1% better than the market leader” is a positioning choice with an IP edge: differentiate enough to defend, but stay clear of the incumbent’s patents. Costco learned that line the hard way when TaylorMade sued over a Kirkland golf club it alleged infringed its patents — proof that how to protect a private label brand and how to avoid infringing someone else’s are the same discipline viewed from two sides. The wider point for an IP strategy for retailers — or any business weighing an own-brand play — is that the moat isn’t the product; it’s the registered rights and the contracts that sit underneath it. Get those right early and, as Costco shows, you can protect your brand while turning a commodity shelf into a $90B asset. Read the full piece, “Kirkland Signature: Jim Sinegal and the Making of Costco’s $90B Private-Label Empire” on SatPost by Trung Phan.

A charity had registered BROWN NOSE DAY for bowel cancer fundraising. The owner of the RED NOSE DAY marks did not oppose the application, but later persuaded the Registrar to revoke the registration. In Registrar of Trade Marks v National Cancer Foundation Limited [2026] FCAFC 95, the Full Court held the mark survives. BROWN NOSE DAY is not deceptively similar to RED NOSE DAY, because the colloquial meaning of “brown nose” gives the mark a distinct idea of its own, and consumers in the charity sector are trained to read colour as the feature that separates one fundraising “day” from another.

Two rulings along the way matter well beyond charity campaigns. Deceptive similarity has only one legally correct answer, so there is no safe harbour merely because the examiner’s original call was finely balanced – any error, including an error of judgment, can open the revocation door. But whether it is reasonable to walk through that door is a separate question, and the fact that the call was a close one still counts in the owner’s favour there.

What this means for trade mark registration and brand protection strategy

The durable lessons run in three directions.

If you own a recent registration, its first birthday matters: the Registrar’s window to begin revocation closes twelve months after registration, and after that only a court can remove the mark – so certainty compounds with time, and the heaviest investment in a new brand sits more safely once the window has closed.

If a conflicting mark is heading onto the Register, the lesson is the reverse: a trade mark opposition filed in time is worth far more than a letter to the Registrar afterwards, because revocation is discretionary, was built for administrative error, and – as this case shows – can be resisted all the way to a Full Court.

And when choosing a mark, meaning is your strongest differentiator: sharing words with an established brand is survivable where the mark as a whole conveys a distinct idea, the same imperfect-recollection logic that decided When a Suffix Isn’t a Shield. None of this replaces disciplined brand clearance before adoption – the High Court’s message in You Can’t Backdate Honesty – but it rewards owners who treat the Register as strategic terrain. Watch it. Oppose in time. Choose marks whose meaning does the distinguishing for you. A registered trade mark is property, and the cheapest time to make it secure is at the start.

Three details reward attention. The entry point was a dataset – a malicious dataset abused code-execution paths in the data-processing pipeline, which makes the data and model surface a first-class attack surface. What was taken was unregistered: internal datasets and credentials, assets with no register, no priority date and no monopoly behind them. And when Hugging Face fed real attack payloads to commercial frontier models for forensic work, the requests were blocked, so it ran the analysis on a self-hosted open-weight model instead, which also kept the attacker’s data and the credentials it referenced inside its own environment.

What agentic cyber risk means for trade secret protection and IP strategy

The durable lessons sit upstream of security.

First, re-run the patent versus secrecy decision on your crown jewels. Many countries, including Australia have no trade secrets statute. Confidential information is protected through an equitable action for breach of confidence, which needs information with the necessary quality of confidence, an obligation of confidence, and unauthorised use or disclosure. Every element of that points at an identifiable defendant. A swarm of short-lived agents with no known operator leaves you with nobody to enjoin. A patent is enforceable against anyone working the invention, however they came by it – the choice one small technology company got wrong before it sued a much larger customer, as I covered in Be prepared before you engage: Zest Labs, Walmat and $222m in damages.

Second, treat every agent you deploy as a delegate rather than a tool: minimum viable data access, provenance attached to outputs, and logs of inputs, sources and model versions, which are the disciplines set out in Your AI Agent Won’t Keep a Secret.

Third, diligence what you ingest. Third-party datasets and model weights now arrive with a licence question, a provenance question and an execution risk, and the same discipline that answers “where did this training data come from” also shrinks your attack surface – the theme of Who Gets Paid for the Platform? Lessons From a Big Week in AI and Intellectual Property.

Two checks worth running this month. Do your AI vendor terms actually permit incident response work, and would sending attack artefacts to a hosted model push your confidential material outside your control at the worst possible moment? And could you prove, event by event, what was accessed and what steps you had already taken to keep it secret? Hugging Face reconstructed more than 17,000 recorded events. That reconstruction is what a breach of confidence claim is built from, and an agent’s own logs are discoverable and unlikely to attract privilege. Secrecy is a control, not a right.

The question for your next IP strategy review is which assets you would still own the morning after the control fails.

A price on training data

A US federal court gave final approval to a US$1.5 billion copyright settlement between Anthropic and a class of authors on 20 July 2026, closing out claims that pirated books were used to train an AI model. Roughly US$3,000 per work, across more than 400,000 works.

The strategic point is not the headline number. It is that AI training data now has a market price. If your business builds or fine-tunes models, data provenance is a balance-sheet issue, not an engineering detail. If you own content, you may be holding a licensable asset that was worth very little three years ago. I wrote about the direction of travel in The Price Signal for AI Training Data Just Got Louder – that signal has now been confirmed at final approval.

The internal question is simple. Can you show, source by source, where your training data came from and what licence covers it? If the answer is no, you have an AI copyright problem waiting for a plaintiff.

One court, eleven countries

On 23 July 2026, the Unified Patent Court’s Düsseldorf Local Division granted InterDigital a second injunction against Disney, upholding a video-encoding patent and reaching eleven European countries in a single order.

Read that from a risk perspective. One case, one division, one adverse finding – and a service can be switched off across most of Europe. The UPC has compressed what used to be a country-by-country grind into a single point of failure, and licensors have noticed. I looked at this structural shift in One Court, Many Borders: Why the UPC Just Redrew Your Litigation Map.

If you earn meaningful European revenue from technology you did not entirely build – codecs, connectivity, streaming infrastructure – your freedom to operate in Europe now depends on licences you may never have reviewed. The review is cheap. An injunction is not.

The verdict that would not go away

On 21 July 2026, a Californian judge refused to overturn a US$634 million jury verdict against Apple, whose Apple Watch health features were found to infringe a Masimo pulse-oximetry patent. An appeal will follow, but the verdict stands for now.

This is patent litigation as a long game. Masimo is a fraction of Apple’s size. It has lost more skirmishes than it has won across six years of fighting. It kept going, chose its forums deliberately, and one surviving patent has now produced a nine-figure judgment. Outcomes turn on where and how you assert rights, not just whether you hold them – a pattern I examined in Your Patents Didn’t Lose Value – The Board Where You Play Them Changed.

The lesson cuts both ways. As a defendant, features added to a flagship product deserve genuine freedom-to-operate diligence, because a single overlooked patent can outlast years of motions. As a rights holder, persistence, good records and forum selection can beat scale.

What this means for your IP strategy

Picture a mid-sized technology company. It fine-tunes an AI model on scraped industry reports. It streams product video through a codec nobody ever licensed. Its flagship feature was “reworked” from a competitor’s approach. Nothing in this quarter’s accounts records any of that. This week’s decisions show that each one now carries a market price – and someone else holds the invoice.

Four things worth considering:

– Trace the provenance of any data used to train or fine-tune AI in your business, and the licences behind it.
– Map your European revenue against patents you rely on but do not own, with the UPC’s eleven-country reach in mind.
– Run freedom-to-operate reviews on flagship features before launch, not after a letter arrives.
– Take an objective inventory of your own rights. If others are monetising theirs this effectively, your unenforced rights are unclaimed revenue.

How to protect intellectual property is only half the question. The better half is whether your IP strategy positions you to collect, or leaves you waiting to pay. The companies on the right side of that line decided years ago – in how they sourced their inputs, documented ownership and maintained the rights they might one day need. If you are not sure which side your business sits on, that is the first conversation to have with your IP strategist or patent attorney – well before someone else’s letter decides it for you.

The practical lesson is that IP strategy is more than ever a portfolio-and-venue decision, not a just filing decision. Three moves follow directly.

First, match the right to the remedy you actually need — if your real goal is to stop a competitor, know that a US damages award and a German injunction are different instruments, and build the campaign around the one that changes behaviour.

Second, treat trade secrets as a deliberate choice, not a default — for AI model weights, datasets, and manufacturing know-how, secrecy can outperform a patent, but only if your access controls and contracts are genuinely in place before a dispute, not assembled after one.

Third, decide the enforcement question before you’re forced to — the report’s picture of multi-forum campaigns is a reminder that reactive litigation is the expensive way to learn this; the discipline of asking “do we have a good case, and if not, how do we resolve this sensibly?” applies long before you pick a court.

The organisations that win here aren’t the ones with the most patents — they’re the ones who decided, in advance, which right to assert, where, and to what end.

The strategic lesson for any IP-intensive business is uncomfortable but clarifying: when the product can be recreated in an afternoon, the product is no longer your differentiation — and neither is being first. If your advantage evaporates the moment a competitor points the same tools at the same problem, you don’t have a moat. You have a countdown.

So where does defensibility live now? Not in the artefact, but in everything around it that can’t be cheaply copied: proprietary data and the feedback loops that improve with use, deep domain understanding of a real customer problem, and the disciplined capture of IP — patents where they genuinely block, and trade secrets and know-how where speed and secrecy beat disclosure.

This is the practical move for in-house IP leads and founders: stop treating “we shipped it” as proof of advantage, and start asking what about this would survive a well-funded competitor with the same AI stack. Map your differentiation to durable assets before you scale, not after a late pivot. Decide deliberately whether each product calls for blocking competitors, outrunning them, or teaming up — because AI has collapsed the cost of building but not the value of choosing well. The teams that win the next cycle won’t be the ones that build fastest. They’ll be the ones who know what’s actually worth owning.

Blank’s full write-up of the Lean LaunchPad 2026 lessons is worth a read for the classroom detail behind the pattern.

Business name vs trade mark: the lessons for your brand

The durable lessons run in both directions. If you are naming or renaming anything — a company, a product, a location — a trade mark search comes before the domain purchase and the signage, because business name registration gives you no right to use the name, only the right to be registered under it; that trap is a cousin of the timing problem in You Can’t Backdate Honesty, where good faith is judged at the moment of adoption and can’t be repaired later. Then audit how your teams actually use the brand: domains, email addresses, hashtags and shop signage are all trade mark use, and a shortened or tweaked version of your name earns no protection of its own — the same lesson as When a Suffix Isn’t a Shield. The checklist for a clean adoption sits in Preparing for a new launch. For trade mark owners, note what made enforcement straightforward here: Pool Pro had registered marks and a documented licensing program with a $10,000 annual fee, which the Court adopted as the damages yardstick — while the owner’s inflated expert report claiming lost product profits was rejected outright. A registered mark plus a real, priced licensing structure turns infringement into a calculable claim rather than an argument. The register is public and the search is cheap. The time to run it is before the vehicles are wrapped — for either side of this dispute, everything after that gets more expensive.

The AI copyright lawsuit wave reaches the inputs

Major publishers including Hachette, Cengage and Elsevier, joined by authors, filed a class action against Google in New York on 14 July, alleging Gemini was trained on millions of copyrighted books — including works originally digitised under the old Google Books arrangements (coverage here). Whether AI can lawfully train on copyrighted material is being decided case by case, but the strategic point doesn’t need to wait for judgment: training data provenance is now a balance-sheet issue. If you licence AI models, ask your vendor to warrant where the data came from and to indemnify you. If you own content, it just became a licensable input with a market forming around it — the theme I explored in The Price Signal for AI Training Data Just Got Louder and The Licence to Train: Brussels Reopens the Copyright Bargain.

Platform patents outlive the product race

Sanofi sued both Pfizer and Moderna in New Jersey this week over lipid nanoparticle delivery patents — the technology that gets mRNA into cells — asserting ten patents against Moderna’s vaccines and eight against Comirnaty (Bloomberg Law’s report). Two details reward attention. The patents arrived with Sanofi’s 2021 acquisition of Translate Bio, and the suits seek royalties and damages, not injunctions. Sanofi lost the mRNA product race; it may still tax the winners, because it owns part of the platform. That is patent licensing as a revenue line — the posture I examined in When Your IP Becomes a Revenue Line: Three Signals From the Past Week. Audit your own portfolio the same way: which of your patents read on what competitors ship, not just on what you ship?

The generative AI patent race is compounding

WIPO’s new patent landscape report (14 July) found generative AI patent activity nearly tripled in two years, with more GenAI patents published in 2024–25 than in the entire preceding decade, and China-based filers leading (analysis here). Most companies are deploying AI; a much smaller group is filing patents around what they build with it. The gap between those two groups is tomorrow’s licensing market, with the same dynamics Sanofi is demonstrating today. Using the tools is not a moat — as I argued in AI Isn’t Your Advantage—Your IP Strategy Is.

Three questions for your next IP strategy review

First: can every AI vendor in your stack warrant its training data provenance — and who carries the liability if it can’t?

Second: which platform technologies does your business rent rather than own, and what would a royalty demand on them do to your margins?

Third: what did you actually file in the past twelve months around your AI-enabled products and processes?

The week’s developments all point the same way: the returns in the AI economy are accruing to whoever owns the foundations and can prove it. The filings, licences and provenance records being created right now will decide who gets paid for the platform for the next decade. Make sure some of them are yours.

There are sharper signals here for IP strategists. First, the xAI footnote: $5.1 billion of R&D for a model now in fifth place, with the founding team gone. Know-how walks; protecting it through retention, trade secret hygiene and inventorship discipline is not optional at frontier valuations. Second, the rack-satellite concept is a reminder that the most valuable IP positions are staked early around end-state architectures — thermal management, radiation-hardened compute, laser interconnects — long before the market concedes the category exists. Third, regulatory friction (in this case, data centre zoning) is increasingly the catalyst for category-defining innovation; the IP playbook should anticipate where constraints will force a redesign, not react after it. Musk’s method is to start with the desired end state and work backwards.

IP strategy should do the same.

Read the full piece — The SpaceX IPO and Data Centers in Space — here: https://stratechery.com/2026/the-spacex-ipo-and-data-centers-in-space/

That lesson applies with particular force to intellectual property, because IP positions are slow assets in a fast environment. A patent filing footprint set five years ago determines where you can enforce today; a licensing structure drafted before export controls tightened determines what you can lawfully supply tomorrow. When the shock arrives, your IP options are largely fixed — which means the thinking has to happen now.

The practical translation is to run these same instruments over the IP portfolio before events force the issue. Scenario planning asks: if a key market fragments, do our filings, freedom to operate positions and licence terms still support the business in each plausible future? Contingency playbooks answer the crisis question in advance — the reason we built the IP Playbook around pre-agreed strategic principles rather than step-by-step plans, which rarely survive first contact with adversity. And simulation is where assumptions actually get tested: an IP wargame plays out the moves of competitors, regulators and partners so that gaps surface in a workshop rather than in a dispute — the same “outcomes are built before the fight” pattern that ran through a recent month of court decisions in Built Before the Fight: What May’s IP Decisions Reward. Try McKinsey’s premortem framing on your own portfolio: it’s five years out and your IP failed to protect the business — what were the causes? If the answers come easily, you have a work plan. If they don’t, that’s the strongest argument yet for putting your IP strategy through a wargame while it’s still cheap to change.