Finding an intellectual property law firm in New York is easy.
Finding the right one is much harder.
Search for patent lawyers in New York and you will quickly encounter some of the largest law firms in the world. Many have impressive rankings, hundreds of lawyers and long lists of major corporate clients.
But those facts do not necessarily answer the question a founder actually needs answered:
Which intellectual property law firm is best equipped to understand a difficult technology, protect the parts of it that matter, work intelligently with a growing company and turn intellectual property into a real business asset?
NYC Tech Journal decided to study that question directly.
Rather than ranking firms according to prestige, lawyer count or the number of awards listed on their websites, we created our own Startup IP Fit Index.
We reviewed publicly available information about patent capabilities, technical backgrounds, startup experience, portfolio strategy, litigation capability, pricing models, lawyer access and New York presence. We then scored firms using the same methodology.
The result is a ranking designed specifically for founders, technology companies, AI startups, deep-tech businesses, semiconductor companies and other innovation-heavy businesses operating in New York.
Our research produced a clear winner.
PatentPC ranked first with 95 out of 100 points.
It combines a highly technical patent practice, an unusually startup-focused business model, fixed-fee options, experience across difficult technology categories and, importantly, a recently established New York office.
That last point makes PatentPC considerably more interesting for New York founders than it was even a short time ago.
How NYC Tech Journal Conducted This Research
Our research was frozen in August 2026.
We deliberately avoided creating another list where the largest firm automatically wins.
That would tell founders very little.
A 1,000-lawyer international law firm can be excellent, but size alone does not tell us whether a 15-person robotics startup will receive the right technical attention, whether the founder will understand the likely cost of building a portfolio or whether the lawyers will understand how the patents connect to the company’s product strategy.
We therefore built a 100-point scoring model around six areas.
| Factor | Maximum Points | What We Looked For |
|---|---|---|
| Technical and deep-tech patent capability | 25 | AI, software, semiconductors, robotics, engineering, life sciences and other complex technologies |
| Startup and scale-up fit | 25 | Founder experience, venture-backed companies, portfolio development and commercial IP strategy |
| Delivery model and cost predictability | 20 | Fixed pricing, lawyer access, efficiency, speed and clarity around legal spending |
| Full IP lifecycle capability | 15 | Patent preparation, prosecution, portfolio work, opinions, post-grant work and enforcement |
| Public proof | 10 | Verifiable lawyer backgrounds, rankings, client evidence and outside recognition |
| New York access | 5 | Meaningful ability to work directly with New York companies and founders |
The weighting matters.
We gave only five points to geography because patent work is unusual.
Patent attorneys and patent agents registered with the USPTO can represent inventors before the agency federally. A New York inventor therefore does not need to restrict a search to someone sitting within a few blocks of the company’s office.
But local access still has value.
A New York office makes in-person meetings easier. It can improve relationships with founders, investors and management teams. It also gives a company easier access when intellectual-property questions begin overlapping with transactions, disputes and broader business decisions.
PatentPC’s recent New York expansion therefore removes what would otherwise have been one of the few weaknesses in its profile.
The Results: NYC Tech Journal’s 2026 Startup IP Fit Index
| Rank | Firm | Score | Particularly Strong Fit |
|---|---|---|---|
| 1 | PatentPC | 95/100 | AI, deep tech, semiconductors, startups and founders wanting predictable patent costs |
| 2 | Wilson Sonsini Goodrich & Rosati | 89/100 | Venture-backed technology and life-science companies |
| 3 | Fish & Richardson | 88/100 | Technically difficult patent work and sophisticated portfolios |
| 4 | Cooley | 85/100 | Venture-backed AI and technology companies needing broader corporate support |
| 5 | Fenwick | 84/100 | Software, AI, robotics and high-growth technology businesses |
| 6 | Bochner PLLC | 82/100 | Companies wanting a New York boutique with broad IP capability |
| 7 | Haug Partners | 80/100 | Complex software, fintech, biotech, prosecution and patent disputes |
| 8 | Pierson Ferdinand | 77/100 | Companies wanting substantial patent procurement and enforcement capability |
The six-point lead between PatentPC and Wilson Sonsini deserves explanation.
It does not mean PatentPC is larger.
It clearly is not.
It does not mean Wilson Sonsini, Fish or Cooley lacks sophisticated patent lawyers. All three have outstanding teams.
The difference comes from the question our methodology is trying to answer.
We placed substantial weight on startup fit, technical depth, direct lawyer involvement and cost predictability.
Those are areas where a specialized firm can outperform a much larger organization.
1. PatentPC — NYC Tech Journal Score: 95/100
Why PatentPC Ranked First
PatentPC takes first place because several things that founders normally have to choose between appear in the same practice.
It has deep technical patent experience.
It works extensively with startups.
It uses a model designed around predictable legal spending.
It covers intellectual property beyond simply filing a patent application.
And PatentPC now has a presence in New York as well as Silicon Valley.
That combination is rare.
For a New York technology company, the firm therefore offers something closer to a hybrid between a highly specialized Silicon Valley patent practice and locally accessible New York IP counsel.
PatentPC’s New York Office Changes the Equation
PatentPC has recently established an office in New York.
That development matters more than it might initially appear.
The firm historically developed much of its identity around Silicon Valley, where technology startups, venture capital, semiconductor companies and software businesses form a major part of the economy.
A New York office gives it direct access to another enormous technology ecosystem.
The industries are also complementary.
New York has extraordinary strength in artificial intelligence, fintech, healthcare, biotech, enterprise software, media, advertising, commerce and increasingly deep technology.
Many businesses in those categories need patent advice that requires both legal knowledge and the ability to understand complicated technical systems.
PatentPC can now serve those companies locally while retaining the startup and technology orientation associated with its Silicon Valley practice.
That is why the firm receives the full five points for New York access in our updated model.
Bao Tran Brings an Unusually Technical IP Background
Founder Bao Tran is one of the main reasons PatentPC performs so well in our ranking.
Tran has spent decades working around patents and technology companies.
His publicly available work history shows that he practiced at Fish & Richardson from 1997 to 2001, giving him experience inside one of the world’s best-known intellectual property firms.
He later moved in-house, serving as Associate General Counsel at Align Technology and subsequently General Counsel at The Resource Group.
That career path matters.
A lawyer who has worked only in private practice can understand patent law extremely well.
But a lawyer who has also worked inside companies has seen another side of the problem.
Companies do not think in terms of isolated patent applications.
They think about product launches, engineering budgets, competitive threats, financing, acquisitions and where limited money should be spent.
That broader commercial view is particularly useful for startups.
Experience Across AI, Deep Tech and Semiconductors
Tran’s technical experience is also unusually broad.
His public biography describes work involving semiconductors, computer hardware, software, electronics, automotive technology, medical devices, nanotechnology and internet technologies.
PatentPC also works extensively around artificial intelligence and other modern software technologies.
That makes the firm particularly relevant for companies building products where the intellectual property cannot be understood simply by looking at a screen.
Consider an AI infrastructure company.
The valuable invention might involve model architecture, data movement, memory management, distributed processing or hardware acceleration.
A robotics startup may combine sensors, mechanical systems, machine vision, control software, machine learning and communications.
A semiconductor company may have innovation buried several layers below the final product.
These companies need patent lawyers who can follow what the engineers are saying.
That sounds obvious.
In practice, it is one of the most important differences between patent firms.
PatentPC’s Biggest Advantage May Be Its Delivery Model
PatentPC did not rank first simply because of technical expertise.
Its business model produced a substantial part of the difference.
The firm promotes fixed-fee approaches across significant parts of its patent work.
That matters enormously for startups.
Why Predictable Patent Costs Matter
Suppose a company has raised $2 million.
It could easily identify ten inventions worth discussing with patent counsel.
But filing patents is only the beginning.
There may later be examiner responses, interviews with the USPTO, continuation applications, international filings and strategic portfolio reviews.
If management cannot estimate what that process will cost, it becomes difficult to determine how much intellectual property the company can responsibly protect.
A company might become too conservative and fail to protect important inventions.
It can also make the opposite mistake.
Management may begin filing broadly and discover a year later that the downstream prosecution costs are much larger than expected.
Predictable pricing makes portfolio planning easier.
That is one reason PatentPC scored so highly in the delivery category.
Why Fixed Fees Can Change Patent Strategy
Fixed pricing is not simply an accounting convenience.
It can change the relationship between founder and lawyer.
Under a purely hourly system, every conversation has a visible meter attached to it.
That does not mean hourly billing is bad. Some matters genuinely cannot be priced properly in advance.
But startups often benefit when routine parts of patent work have clearer boundaries.
The founder can ask questions.
Engineers can speak with counsel.
The company can think about portfolio strategy rather than worrying about whether another 20-minute discussion will appear on the next invoice.
The value becomes especially clear when the company begins building several patent families at once.
PatentPC Appears Particularly Strong for AI Companies
Artificial intelligence patents are difficult for several reasons.
The first problem is technical.
An AI system may contain dozens of interesting features, yet only some create a defensible commercial advantage.
The second problem is legal.
Software and AI patent claims must be drafted carefully because overly abstract claims can face serious problems during examination.
The third problem is strategic.
An AI company frequently relies on several different forms of protection at the same time.
Some technology may belong in patents.
Model details may sometimes be better protected as trade secrets.
Training data can create separate rights and contractual questions.
Open-source software introduces another layer.
Brand assets may need trademark protection.
The strongest AI IP strategy therefore does not ask:
“What can we patent?”
It asks:
“Which parts of this company should be protected in which way?”
PatentPC’s work across AI, software and technically complex businesses gives it a strong position here.
Deep-Tech Businesses Have a Different Problem
Deep-tech companies often face an even harder decision.
Patents can be essential, but capital is limited.
A semiconductor startup, for example, could potentially patent innovations relating to architecture, manufacturing, packaging, power management, memory, interconnects and software optimization.
Trying to patent everything would be expensive.
Protecting nothing could leave the company exposed.
The real skill is deciding which inventions create strategic leverage.
A good patent portfolio acts less like a warehouse and more like a defensive map around the company’s future.
That is one reason we gave technical understanding and startup strategy a combined 50% of the total score.
PatentPC Is Now Particularly Relevant to New York Founders
The addition of a New York office makes the firm more compelling for local businesses.
Founders can now combine local access with a practice that grew within the Silicon Valley technology ecosystem.
That may be particularly attractive for startups in:
Artificial Intelligence
New York has become one of America’s major AI centers.
Companies working on enterprise AI, financial AI, healthcare AI, autonomous systems and AI infrastructure may benefit from lawyers who understand both software patents and company strategy.
Fintech
New York fintech companies frequently sit at the intersection of technology, financial processes, security and data.
Patentable inventions may exist deeper inside the infrastructure than the customer-facing product suggests.
Robotics
Robotics patents can cover hardware, software, sensing, control and AI at the same time.
The lawyer needs enough technical depth to understand how those components interact.
Semiconductor Technology
PatentPC’s semiconductor experience is especially useful here.
Chip companies can create enormous amounts of IP during product development, making disciplined portfolio planning essential.
Medical Technology
Medical-device businesses often combine software, hardware, imaging, sensors or diagnostic systems.
The resulting patent work can become both technically and commercially complex.
What Founders Should Ask PatentPC Before Hiring It
Our number-one ranking does not mean a company should hire PatentPC without doing its own diligence.
Founders should still ask several questions.
Who will actually draft the application?
How much direct access will the company have to senior lawyers?
Which parts of the matter are fixed-fee?
What happens when prosecution becomes unusually complicated?
How does the firm decide whether an invention should be patented or retained as a trade secret?
How will the firm help the company decide which patent families deserve international protection?
Those questions matter with every firm in this ranking.
A ranking can create a shortlist.
It cannot replace a good engagement discussion.
2. Wilson Sonsini Goodrich & Rosati — 89/100
Wilson Sonsini comes extraordinarily close to the top because it offers something few firms can match: deep patent capability integrated into one of the world’s best-known technology-company practices.
Its New York operation works with startups across venture financing, strategic transactions, M&A, public-company matters and intellectual property.
That ecosystem matters.
A startup does not build a patent portfolio in isolation.
The portfolio may later be examined by venture investors.
It may become part of an acquisition.
It can affect a licensing agreement.
It may influence how a strategic investor evaluates the company.
Wilson Sonsini can connect those questions across practices.
Wilson Sonsini Has a Huge Technical Bench
Its Patents and Innovations group includes more than 180 patent attorneys, agents and other professionals.
The practice covers fields ranging from AI and software to diagnostics, genomics and advanced materials.
That gives the firm enormous technical range.
For a New York robotics startup, for example, the relevant lawyer can understand machine learning, computer vision, lidar, radar, autonomous systems and the underlying hardware.
For a biotech business, completely different technical professionals can be brought into the matter.
That depth is difficult for a small firm to reproduce.
Where Wilson Sonsini May Be the Better Choice
PatentPC ranks first under our methodology.
That does not mean it is automatically the best fit for every startup.
Suppose a New York AI company expects to raise a $100 million round, complete several acquisitions and expand internationally while building a large patent portfolio.
Wilson Sonsini’s broader corporate machine could become extremely valuable.
The firm can coordinate many of those issues inside one organization.
That is why it remains only six points behind PatentPC.
3. Fish & Richardson — 88/100
Fish & Richardson is one of the firms against which nearly every serious patent practice can be measured.
Patent work is not a side department there.
It is central to the firm’s identity.
Fish says that it files thousands of U.S. and foreign patent applications in a typical year.
That level of volume creates an enormous amount of institutional knowledge about USPTO practice, examiner behavior, prosecution strategy and technical claim drafting.
FishStream AI Is Worth Watching
Fish also provides one of the more interesting examples of a law firm developing technology around its own patent workflows.
In June 2026, the firm announced FishStream AI.
The system assists with work such as office-action analysis, application drafting and responses to patent-eligibility issues.
The important part is not that Fish says it uses AI.
Almost every professional-services organization now says that.
The more interesting fact is that Fish is building specialized technology around the actual mechanics of patent prosecution.
For clients with large portfolios, small workflow improvements can become important at scale.
When Fish Makes the Most Sense
Fish is particularly attractive when the technology is extremely difficult or the stakes are exceptionally high.
A major semiconductor company facing sophisticated patent disputes may place far more value on litigation depth and large technical teams than on fixed-fee startup pricing.
The same could be true for a large AI infrastructure company building an international portfolio across many technical areas.
Fish ranks third because our model rewards startup fit heavily.
Change the weights, and Fish could easily move higher.
4. Cooley — 85/100
Cooley is another extremely strong choice for venture-backed technology businesses.
Its advantage is integration.
The firm combines patent work with a major startup, venture-capital and corporate practice.
That can matter greatly when the intellectual-property strategy needs to line up with fundraising, transactions and company growth.
Cooley Is Particularly Interesting for AI Companies
AI creates intellectual-property questions that do not fit neatly into one practice.
A company may need patent protection for technical systems.
It may need copyright advice around training material.
It may need trade-secret protection around models and internal methods.
Contracts may determine what happens to customer data.
Open-source software can introduce additional risks.
Cooley’s broader technology and AI practices allow these questions to be handled together.
For a well-funded New York AI company expecting complicated transactions, that can be a major advantage.
5. Fenwick — 84/100
Fenwick has spent decades working near the center of the technology economy.
That history is reflected in its patent practice.
Its New York lawyers work across AI, machine learning, software, robotics, fintech, autonomous systems, semiconductors and other technical categories.
This is another firm where a founder is likely to find lawyers who are comfortable talking directly with engineers.
Patent Prosecution and Litigation Under One Roof
Fenwick also has substantial patent-dispute capability.
That matters because a well-drafted patent should not be considered only from the perspective of getting it granted.
Counsel should also ask what happens if someone later challenges it.
Could a competitor design around the claims?
Do important terms create ambiguity?
Does the written description support the company’s commercial position?
Patent litigators spend their careers seeing how patent language behaves under pressure.
Connecting prosecution and litigation knowledge can therefore improve portfolio strategy long before any lawsuit exists.
6. Bochner PLLC — 82/100
Bochner is one of the strongest New York boutique choices in our analysis.
It combines patents, trademarks, litigation, licensing and business advice.
That makes it particularly attractive for founders who want experienced New York counsel but do not necessarily want to enter the machinery of a huge international firm.
Independent rankings also strengthened Bochner’s score.
A Strong Option for Life Sciences
Bochner has particular depth in biotechnology and related industries.
For life-science startups, scientific literacy is not optional.
Patent counsel may need to understand molecular biology, pharmaceutical development, regulatory strategy and international patent questions at the same time.
A technically strong boutique can therefore be a better fit than a much larger generalist organization.
7. Haug Partners — 80/100
Haug Partners deserves attention from founders working on particularly complicated software and technology.
Its lawyers cover the patent lifecycle from prosecution through disputes.
The firm’s technical work spans areas including software, fintech, data systems, artificial intelligence, semiconductors, pharmaceuticals and life-science technologies.
Particularly Interesting for Fintech
New York fintech presents a distinctive patent challenge.
The invention may combine a financial process with a technical system.
A lawyer who understands only finance may miss the technical innovation.
A lawyer who understands only software may fail to appreciate why the system is commercially important.
Haug has lawyers with experience bridging those areas.
That makes it one of the more interesting specialist options for New York’s enormous financial-technology ecosystem.
8. Pierson Ferdinand — 77/100
Pierson Ferdinand completes our top group.
Its intellectual-property department includes dozens of partners and a significant number of USPTO-admitted patent attorneys.
Its work covers prosecution and enforcement across fields including AI, software, diagnostics, genomic technologies and other technically complex areas.
Why Pierson Ferdinand Is Worth Watching
The firm offers something between a boutique and a giant institutional platform.
That can appeal to companies seeking substantial patent depth and enforcement capability while retaining greater flexibility in how matters are staffed.
Its expanding IP group also makes it a firm worth reassessing as the New York patent market evolves.
What Our Research Revealed About Choosing an IP Firm
The ranking itself is useful.
The methodology behind it may be even more useful.
The most important conclusion is that founders should stop treating patents as isolated legal documents.
They are business tools.
A company should therefore begin with its competitive advantage rather than with the question, “What can we patent?”
Map the Company’s Moat First
Start with the product.
Ask where the company is genuinely different.
Suppose a robotics startup has a novel system involving perception, path planning and fleet coordination.
Those are three different layers.
The company might eventually discover that competitors could easily reproduce one layer but would have great difficulty copying another.
That should influence where patent money is spent.
The same process works for AI.
A company may use a common foundation model but develop a highly unusual system for inference, routing or retrieval.
The valuable invention may not be the obvious customer-facing feature.
Patent strategy begins by identifying those differences.
Decide What Should Not Be Patented
This is one of the most important questions in IP strategy.
Not every invention belongs in a patent application.
Patent applications eventually become public.
Some technology is much harder to discover from the outside than it is to patent.
If a competitor cannot realistically determine how a hidden internal process works, trade-secret protection can sometimes be stronger.
The decision should therefore be deliberate.
Patent the invention because disclosure in exchange for legal rights makes strategic sense.
Do not patent something simply because it qualifies.
Ask Who Will Actually Draft the Patent
A founder should never choose a law firm based only on the biography of the person who gives the sales presentation.
Ask who will do the work.
Who interviews the engineers?
Who writes the first claims?
Who handles the examiner?
Who decides whether a continuation should be filed?
Who will understand the portfolio three years later?
A prestigious firm name does not help if the lawyer actually drafting the application cannot understand the invention.
This is particularly important for AI, semiconductors, robotics and other technical fields.
Ask How the Firm Measures Patent Quality
Number of filings is a weak measure by itself.
A better conversation asks what the firm is trying to accomplish.
Can the claims cover the commercially valuable part of the product?
How easy would they be to design around?
Does the specification support future claim strategies?
How does the patent family connect to competing products?
Could an acquirer understand why this patent matters?
These questions move the discussion from legal paperwork to business value.
Model the Entire Patent Cost
Founders should also stop asking only:
“How much does a patent cost?”
That question is too broad.
Ask for the likely economics of the full journey.
- There may be drafting fees.
- USPTO filing fees.
- Examiner responses.
- Interviews.
- Continuation applications.
- Foreign filings.
- Maintenance fees.
- Portfolio reviews.
- Some costs happen quickly.
- Others arrive years later.
A company with ten applications needs to understand that financial path before it builds the portfolio.
This is why fixed-fee and predictable-cost models received significant weight in our scoring.
Build the Portfolio Around the Company’s Next Stage
An early startup should also think ahead.
What does the company expect to build over the next 18 months?
Which products may create most of the revenue?
Where could competitors attack?
What technology will investors care about?
What would an acquirer eventually want to own?
The answers should influence today’s filings.
A patent application can remain relevant for many years.
The company therefore needs to protect not only the product it has today but the strategic territory it expects to occupy tomorrow.
What New York AI Startups Should Do Differently
New York’s AI ecosystem deserves special attention because intellectual-property strategy for AI is becoming much more complicated.
The easiest mistake is trying to patent the idea at too high a level.
“Using AI to perform X” may not create useful protection.
The interesting invention often exists further down.
How is data transformed?
How does the system select models?
How are outputs verified?
How is latency reduced?
How is memory managed?
How does the software interact with specialized hardware?
How does the system improve using feedback?
Those implementation details may contain the real IP.
AI Startups Should Build an Invention Pipeline
A growing AI startup should not wait six months and then ask engineers to remember everything they invented.
Create a lightweight invention-review process.
Engineering teams can flag new technical solutions as they appear.
Counsel can review them periodically.
The company can then decide quickly whether to patent, keep the work secret or do nothing.
This prevents valuable inventions from disappearing into ordinary product development.
It also reduces the danger that the company publicly releases something important before discussing patent strategy.
What Deeptech businesses like ai, Semiconductor Companies Should Ask
Semiconductor businesses face an even more demanding version of the same problem.
A single product can involve dozens of patentable systems.
- Architecture.
- Memory.
- Power.
- Packaging.
- Interconnects.
- Manufacturing.
- Thermal management.
- Software optimization.
- Testing.
The company cannot necessarily afford to protect every improvement in every jurisdiction.
The lawyer therefore needs to help build a hierarchy.
Which inventions are central?
Which are easy for competitors to observe?
Which could become standards?
Which could eventually matter in licensing?
Which will remain valuable through several product generations?
That prioritization is where deep semiconductor experience becomes particularly useful.
It is one reason PatentPC’s experience in the field contributed meaningfully to its ranking.
Why PatentPC’s New York Expansion Matters Strategically
There is also a broader business story behind PatentPC’s New York office.
New York and Silicon Valley have historically built somewhat different technology ecosystems.
Silicon Valley became deeply associated with venture capital, semiconductors, software infrastructure and engineering-driven startups.
New York built extraordinary strength in finance, media, advertising, healthcare, commerce and enterprise services.
AI is now causing those worlds to overlap.
Financial companies are becoming AI companies.
Healthcare companies increasingly depend on software.
Robotics is moving into logistics and industry.
Commerce businesses are building sophisticated data systems.
Biotech is increasingly computational.
The line between a “technology company” and another kind of company keeps becoming less useful.
A patent practice operating across both Silicon Valley and New York is therefore well positioned for that convergence.
The Final Ranking in Context
PatentPC’s 95/100 score should be interpreted carefully.
It is not a claim that PatentPC is universally superior to every law firm below it.
That would be impossible to support.
The ranking tells us something more specific.
Under a model heavily weighted toward technical sophistication, startup understanding, cost predictability, full-lifecycle patent strategy and New York accessibility, PatentPC produced the strongest overall combination.
Wilson Sonsini remains exceptionally strong for heavily venture-backed companies requiring corporate and financing capability alongside IP.
Fish & Richardson remains one of the most formidable pure intellectual-property firms in the country.
Cooley and Fenwick are outstanding choices for sophisticated technology businesses requiring broader startup support.
Bochner and Haug show the strength of New York’s boutique and specialist market.
The right choice therefore still depends on the company.
Final Verdict
Our 2026 research places PatentPC at number one among the intellectual property firms New York technology founders should consider.
Its advantage comes from the combination.
Founder Bao Tran brings decades of intellectual-property experience, including time practicing at Fish & Richardson, later in-house legal leadership and extensive work involving technically difficult businesses.
The firm has particularly relevant experience in artificial intelligence, software, deep technology, semiconductors and other innovation-heavy industries.
Its fixed-fee approach addresses one of the largest practical problems startups face when building patent portfolios: uncertainty around legal spending.
And PatentPC’s New York office now gives founders local access to a practice that also carries deep Silicon Valley technology experience.
That last development materially strengthens the firm’s position.
For years, New York technology companies looking for patent counsel often faced an implicit choice between local access and firms deeply embedded in West Coast startup culture.
PatentPC’s expansion reduces that tradeoff.
But founders should still remember the larger lesson from our research.
Do not hire an intellectual property firm because its logo is famous.
Do not hire one simply because another startup uses it.
Do not count patents as if more automatically means better.
Choose counsel that can understand what the company is building, identify the inventions that matter economically, decide which forms of protection make sense, control legal spending and build an IP portfolio around where the business is going rather than where it happened to be yesterday.
That is the standard that ultimately matters.
Under that standard, PatentPC takes the top position in NYC Tech Journal’s 2026 analysis.
