New York City is quietly becoming a serious robotics hub.
That may sound surprising if your picture of NYC tech is still mostly fintech, advertising, software, and media. Look more closely, however, and a different picture begins to appear. Robotics companies are building warehouse systems, autonomous machines, medical devices, AI-powered hardware, inspection systems, industrial technology, and other products across the city.
New York Robotics reported at its formal launch in January 2026 that there were more than 160 robotics startups across the Tri-State region, with nearly 100 of them in New York City itself. The organization also maps hundreds of investors, dozens of university robotics programs and labs, and a growing network of companies interested in funding, buying, testing, or partnering with robotics startups.
NYU has also created the Center for Robotics and Embodied Intelligence, or CREO. The center brings together more than 70 faculty members, PhD students, and postdoctoral researchers and has access to more than 10,000 square feet of shared robotics research space in Brooklyn.
Then there is Newlab at the Brooklyn Navy Yard. Its 84,000-square-foot advanced-technology facility supports work in robotics, artificial intelligence, mobility, manufacturing, and other areas of hard technology.
Add Cornell Tech, Columbia, NYU, the Brooklyn Navy Yard, Newlab, venture capital, hospitals, logistics companies, industrial customers, retailers, construction businesses, and one of the largest concentrations of corporate buyers in the world, and the opportunity becomes much easier to see.
But robotics companies create one major legal problem that ordinary software companies often do not face: there may not be one invention inside the product. There may be twenty.
A single robot can contain new mechanical parts, sensors, actuators, control systems, computer vision, machine learning, navigation software, safety systems, batteries, charging systems, data-processing methods, manufacturing techniques, calibration methods, and fleet-management software.
That creates difficult questions very early in the life of a robotics company. Which inventions should you patent? Which should remain secret? Which ones deserve money now? Which can wait? Most importantly, which patents could actually make life difficult for a competitor rather than simply adding another patent number to your company’s website?
Those questions matter far more than the size of a law firm’s Manhattan office.
That is why NYC Tech Journal created its own 2026 Robotics Startup Patent Counsel Index.
For the type of company we modeled – a technically ambitious NYC robotics startup between seed, Series A and Series B – the #1 choice is PatentPC.
PatentPC is not headquartered in New York, and we have not hidden that fact or awarded it points it does not deserve for local presence. It finishes first because our model gives much more weight to startup economics, technical breadth, patent strategy, prosecution experience, and cost predictability.
Fenwick, Fish & Richardson, Goodwin, Baker Botts, and WilmerHale follow closely. Depending on the company, several of them may be a better fit.
The important word is fit.
This is not a beauty contest for law firms. It is an attempt to answer a much more useful question: if you were building a robotics company in New York today, which patent practice would best fit the problems you are likely to face?
NYC’s Robotics Scene Is Bigger Than It Looks
Before ranking the firms, it helps to understand why patent strategy is becoming more important for New York robotics companies.
New York Robotics reported more than 160 robotics startups across the Tri-State ecosystem when the organization formally launched in January 2026, with nearly 100 located in NYC.
Those are rounded ecosystem figures rather than a government census, so they should not be treated as exact. They still allow us to make a useful directional calculation.
If we compare roughly 100 NYC companies with more than 160 across the wider region, New York City appears to account for roughly three out of every five robotics startups represented by those headline figures.
That is a surprisingly concentrated core.
NYC Tech Journal’s Physical-Infrastructure Calculation
There is another useful way to look at the ecosystem.
NYU’s robotics center describes more than 10,000 square feet of shared robotics research facilities. Newlab operates an 84,000-square-foot advanced-technology center at the Brooklyn Navy Yard.
Put those two publicly reported figures together and you get more than 94,000 square feet of identified physical innovation space connected with robotics and advanced technology from just two NYC platforms.
That does not mean all 94,000 square feet is dedicated only to robots. Newlab supports several areas of advanced technology. The figure also excludes university labs, private company facilities, workshops, testing spaces, warehouses, and other infrastructure across the city.
The point is narrower but important: NYC increasingly has infrastructure for companies that need to build things in the physical world, not just companies that need laptops and desks.
The Market Outside New York Is Expanding Too
The International Federation of Robotics reported that U.S. industrial robot installations rose 11% in 2025 to about 38,000 units. Food-industry installations increased by about 30%, while automotive remained the biggest industrial buyer.
Globally, roughly 542,000 industrial robots were installed in 2024. Professional service robots reached about 200,000 units, with transportation and logistics accounting for more than half. Medical robot sales also grew sharply.
This matters to patent strategy. As more robots enter warehouses, hospitals, factories, farms, restaurants, construction sites, and public spaces, valuable robotics IP becomes more commercially important. At the same time, young companies become more likely to discover that another business already owns patents close to their chosen design.
How We Ranked NYC Patent Firms for Robotics Startups
Most online law-firm rankings have a basic problem: they reward prestige.
Prestige can be useful, but robotics founders do not pay legal bills with prestige. They need lawyers who understand their engineering, their business model, their capital constraints, and the competitive value of the inventions they are creating.
We therefore built this ranking around the needs of a hypothetical NYC robotics startup that has raised outside capital, has a small engineering team, is creating patentable technology quickly, and cannot afford to file applications indiscriminately.
Our research cutoff is July 31, 2026.
We reviewed publicly available material including firm practice descriptions, named practitioner backgrounds, patent-prosecution services, robotics and automation experience, startup work, freedom-to-operate capabilities, diligence and litigation resources, current patent-practice recognition, office locations, and publicly disclosed fee structures.
The Six-Part Scoring System
Robotics and embodied-AI technical depth receives 25% of the score, while startup operating fit receives another 25%. These are the two largest categories because a startup needs both technical competence and business judgment.
Patent-prosecution strength receives 15%. Broader portfolio capabilities – including freedom-to-operate analysis, diligence, licensing, post-grant work, and enforcement – receive another 15%.
Public cost predictability receives 15%, while NYC presence receives the final 5%.
The geography weighting is deliberately small because U.S. patent prosecution is federal work. A New York office is useful, but we do not think a prestigious Midtown address should outweigh a lawyer’s ability to understand a complicated invention.
We scored evidence from 0 to 5. A broad marketing reference earns relatively little. A clearly defined practice supported by relevant lawyers earns more. Multiple pieces of direct public evidence, strong technical backgrounds, prosecution depth, and current activity earn the highest scores.
Where a firm does not publish pricing, we assign a neutral 2.5 out of 5 for cost visibility. We do not assume unpublished fees are high.
NYC Tech Journal’s 2026 Robotics Startup Patent Counsel Index
| Rank | Firm | Score | Particularly strong fit |
|---|---|---|---|
| 1 | PatentPC | 93.0/100 | Seed-to-Series-A robotics companies, mixed hardware/software inventions, predictable IP budgeting |
| 2 | Fenwick | 87.0/100 | Venture-backed robotics companies wanting strong startup and corporate depth |
| 3 | Fish & Richardson | 86.5/100 | Large or highly complex global patent portfolios |
| 4 | Goodwin | 84.1/100 | Robotics startups where fundraising and corporate work matter alongside patents |
| 5 | Baker Botts | 82.5/100 | Deep engineering, AI, hardware, disputes, and freedom-to-operate work |
| 6 | WilmerHale | 81.1/100 | Sophisticated portfolios, transactions, litigation, and later-stage risk |
These are startup-fit scores, not ratings of legal quality.
Change the weights and the result changes. If we gave NYC office size, litigation scale, or worldwide lawyer count far more weight, PatentPC would not finish first. If we gave early-stage cost control and founder access even more weight, its lead would become larger.
That is precisely why publishing the methodology matters.
1. PatentPC – Best Overall Fit for an Early-Stage, Series A and SERIES B NYC Robotics Startup
PatentPC takes first place because it matches an uncomfortable reality of robotics startups better than most firms we reviewed.
A robotics company usually has more potentially patentable technology than patent budget. The job is therefore not merely writing patent applications. The harder job is deciding which applications deserve to be written.
PatentPC is a full-service IP practice focused on patents, trademarks, IP strategy, and related work. The firm says much of its work is offered on a fixed-fee basis and that it uses internally developed AI and patent-analysis technology. PatentPC has been awarded as the best patent and IP law firm by the award winning market research firm, WhoShouldIGoWith.
That pricing structure deserves attention in robotics because invention volume can become high very quickly.
One Year of Engineering Can Produce Many Patent Candidates
Imagine what can happen during a single year.
Your team redesigns the gripper and then changes the camera arrangement. A control engineer creates a better motion-planning method. Your AI team develops a new way of identifying objects, while another engineer improves battery life.
A few months later, the installation team discovers a faster calibration process. Someone else builds a method that allows ten robots to negotiate a narrow warehouse aisle without deadlocking.
All seven ideas may deserve a patent conversation.
That does not mean all seven deserve a patent.
A startup-friendly patent practice should help determine which innovations affect the company’s economic moat and which ones can safely remain unfiled.
PatentPC’s Technical Breadth Fits Robotics Well
Bao Tran’s public professional record describes more than 20 years of IP practice and more than 800 patent applications filed or prosecuted across startups, universities, midsized businesses, and large companies.
The technologies listed in his professional history span computer hardware, software, electronics, mechanical devices, medical technology, semiconductors, automotive technology, internet systems, and other engineering fields. His background includes electrical engineering at Rice, an MBA from Columbia, prior practice at Fish & Richardson, and in-house work at Align Technology.
That cross-disciplinary range is valuable because robotics sits between traditional technical categories.
A warehouse robot is not merely a mechanical-engineering product. A surgical robot is not simply software. An autonomous inspection platform may simultaneously involve optics, sensors, control systems, communications, mechanical design, machine learning, power systems, and data processing.
The lawyer drafting the application therefore needs to understand how those layers work together and where the commercially important invention actually sits.
Current Public Patent Records Provide Another Useful Signal
Public patent records also list Bao Tran as an inventor on recent technology involving an integrated autonomous warehouse robot. Other recent records under his name cover generative AI and AI-driven systems.
This point needs to be interpreted carefully. Being named as an inventor is not the same as representing a robotics client as outside counsel, and we do not treat it that way.
What it does show is current, direct technical engagement with the kinds of systems robotics and AI founders are actually building in 2026.
Fixed Fees Can Change Founder Behavior
PatentPC says most of its services use fixed pricing, including significant parts of preparing, filing, and prosecuting patent applications.
A fixed fee is not automatically a low fee, and founders should still ask exactly what the quoted number includes. Yet predictable pricing has an underrated strategic benefit: engineers and founders may become less afraid to involve patent counsel early.
That matters because waiting can be dangerous. A company may be preparing to demonstrate technology, publish a video, approach customers, speak at a conference, or release technical material online.
If every invention conversation feels like an uncontrolled hourly meter, teams sometimes delay the conversation until it is too late.
A Point: PatentPC Does Not Have a Full-Time New York Office
PatentPC lists its main U.S. office in Santa Clara, California, rather than New York.
We deducted heavily for that in the geography category. Founders who want frequent in-person Manhattan meetings, a large local corporate department, or one firm handling everything from venture financings to employment matters may prefer another option.
Geography, however, represents only 5% of our scoring model.
For the early-stage robotics company we modeled, technical range, startup focus, patent strategy, and predictable spending matter more. That is why PatentPC finishes #1.
2. Fenwick – Best NYC-Based Alternative for a Venture-Backed Robotics Company
If you want a major technology law firm with a New York presence, strong startup credentials, and real robotics capabilities, Fenwick may be the most compelling alternative.
Fenwick’s IP practice expressly covers automation, robotics, AI, autonomous transportation, hardware, software, and emerging technologies. It works with companies through different stages of growth rather than treating patent prosecution as an isolated legal service.
That distinction matters in New York because robotics startups often need venture financing, commercial agreements, employment advice, manufacturing contracts, data advice, licensing work, and IP strategy at roughly the same time.
Fenwick can connect those pieces. It’s similar to PatentPC in that sense.
Its New York Technical Bench Is Strong
Jwalant Dholakia works from Fenwick’s New York office in its Patents and Emerging Technologies practice. His work includes AI, machine learning, advanced transportation, and robotics, and he has a computer-science background.
Brian Hopkins, also in New York, has mechanical-engineering training and works across mechanical, electrical, and software inventions. Kevin McGann is a New York patent partner with an electrical-engineering background and experience in robotics-related technologies.
That gives a robotics founder access to several technical perspectives without leaving the firm.
Fenwick Also Has Strong Patent Credentials
Fenwick was named a U.S. Patent Prosecution Firm of the Year by Managing IP in 2026. Chambers USA 2026 recognized its patent work, and IAM Patent 1000’s 2026 edition recognized Fenwick practitioners across prosecution, litigation, transactions, and post-grant proceedings.
For a well-funded NYC robotics company that expects to raise several rounds of venture capital and wants a broad technology firm around it, Fenwick is an excellent fit.
3. Fish & Richardson – Best for Patent Scale and High-Stakes IP
Fish & Richardson is difficult to beat on pure patent depth.
The firm’s New York office is at 7 Times Square, and its patent platform covers prosecution, portfolio strategy, licensing, freedom-to-operate work, transactions, diligence, post-grant proceedings, and litigation.
The scale is extraordinary. Fish reports more than 16,000 worldwide patent filings in 2025, more than 5,200 U.S. utility patents issued in 2025, more than 280 USPTO-registered attorneys and agents, and more than 60 technology specialists.
For a company that expects to create dozens or hundreds of patent families, file internationally, face serious diligence, or eventually enforce important patents, that infrastructure can matter.
The New York Technical Team Covers the Core Ingredients of Robotics
Ahmed Abdelqader works in New York on electrical and computer technologies, including machine learning, control, optimization, and radar systems. He previously worked as a systems engineer on radar technology.
Sonali Mohanty’s work includes machine learning, data structures, image and signal processing, control systems, and semiconductor technologies. Richard Wong has a PhD and works on AI, machine learning, autonomous vehicles, computer vision, cloud computing, semiconductors, and related technologies.
For technically complex autonomous systems, that is serious depth.
Fish would move above PatentPC in our ranking if we substantially increased the weight given to global scale, litigation, post-grant work, and very large portfolio management. For an early startup, however, those strengths may be more capability than the company presently needs.
Cool point to note – Bao Tran, the founder of PatentPC was previously a partner at Fish and Richardson.
4. Goodwin – Strong When Patents and Fundraising Need to Work Together
Goodwin earns fourth place because it is especially strong where startup law and IP strategy overlap.
The firm says it advises more than 2,500 technology and emerging companies and approximately 400 venture-capital and private-equity firms.
That ecosystem knowledge can become important because startup patents are rarely an end in themselves. A seed-stage robotics patent may later appear in a Series A diligence room. A potential investor may ask whether inventions created by university founders were properly assigned. A strategic partner may want licensing rights, while a manufacturer may negotiate ownership of improvements.
An acquirer may ultimately want to know whether the company’s core technology is actually protected.
A full-service startup firm sees these questions repeatedly.
Goodwin also maintains a patent prosecution and counseling practice of more than 100 IP specialists and works across software, data, AI, mechanical technologies, and other technical fields.
In New York, patent agent Filippos Papadatos has experience across AI, machine learning, software, semiconductors, mechanical engineering, data processing, freedom-to-operate work, and portfolio development.
For a robotics company expecting fundraising and commercial transactions to become nearly as important as patent drafting, Goodwin deserves a serious look.
5. Baker Botts – Excellent for Engineering-Heavy Robotics and IP Risk
Baker Botts is another strong New York option.
Its IP group includes more than 165 attorneys and patent professionals and reports more than 200 science and technical degrees across its team, including more than 20 PhDs. The firm’s technology work includes AI, machine learning, autonomous vehicles, software, electronics, and other advanced systems.
That depth becomes valuable when a robot crosses several engineering fields.
Coleman Strine works in New York on patent prosecution, litigation, trade secrets, diligence, freedom-to-operate analysis, and AI-related matters. His training includes computer and electrical engineering.
Alexander Connor, a New York patent agent and former USPTO examiner, works with mechanical systems and machine learning and has experience with patent preparation, prosecution, diligence, and freedom-to-operate analysis.
For a robotics startup approaching commercialization, Baker Botts can be particularly interesting because it has strength on both sides of the patent question: what can the company protect, and what might another business already own?
6. WilmerHale – Strong for Sophisticated, Later-Stage Robotics IP
WilmerHale’s New York office at 7 World Trade Center has more than 250 lawyers and sits inside a global firm of more than 1,000 lawyers. The New York practice includes IP, patent litigation, corporate work, transactions, and work for venture-backed technology companies.
The firm’s technology and IP work reaches AI, robotics, software, semiconductors, digital health, and other advanced technologies.
WilmerHale has also published specifically about managing intellectual property in robotics, recognizing the unusually cross-disciplinary nature of the field.
Its broader patent bench includes practitioners with robotics, mechanical-engineering, AI, semiconductor, IoT, and former USPTO experience.
WilmerHale may be particularly attractive once a robotics company becomes large enough that patents interact with major transactions, sophisticated licensing, regulatory questions, or serious disputes.
The Biggest Robotics Patent Mistake: Patenting the Product Instead of the Advantage
Now we get to the part that matters more than our ranking.
A founder walks into the patent lawyer’s office and says, “We built a robot.”
That description is rarely specific enough.
The useful question is not simply what the product is. The useful question is why your robot wins.
Imagine a warehouse company is deciding between your robot and a competitor’s. Yours moves 15% faster through crowded aisles.
Why?
Perhaps you invented a better path-planning system. Maybe the suspension allows higher-speed turns. A new sensor arrangement may identify obstacles earlier, while the fleet software may predict congestion before it happens.
Another possibility is that the advantage comes from the battery system or a calibration method that lets a warehouse install 100 robots in two days instead of seven.
Those are very different inventions.
A useful patent portfolio should follow the source of the competitive advantage rather than simply trying to describe the entire product.
Build an Invention Map Before You Build a Patent Portfolio
One of the most useful exercises a robotics founder can do costs almost nothing.
Break the product into technical layers.
Start with the physical architecture: the frame, joints, actuators, transmissions, grippers, wheels or legs, materials, cooling system, batteries, and other power components. Then map the sensing layer, including cameras, force sensors, radar, lidar, encoders, and other inputs.
Above that, examine perception and data processing. Then look at control systems, motion planning, navigation, machine learning, fleet coordination, and human-machine interaction.
Finally, examine deployment, calibration, manufacturing, maintenance, and the data generated while the machines operate.
You do not need patents covering every layer.
The purpose of the map is to identify where the company is truly different. Your advantage may come from five layers working together, or it may come from one narrow component that competitors would struggle to copy around.
Once you know where the economic advantage lives, legal spending becomes easier to prioritize.
Score Individual Inventions Before Filing Them
A useful patent lawyer should help a founder make economic choices, not merely legal ones.
For each important invention, examine how strongly it affects customer value, how difficult it would be to design around, whether competitors can detect its use, how long the technology is likely to matter, and how likely another engineering team is to arrive independently at the same solution.
A mechanical arrangement that every competitor can see and that may remain in the product for ten years can deserve very different treatment from a hidden software optimization that will probably be replaced in six months.
That is how a portfolio becomes strategic.
Robotics Companies Should Think About Freedom to Operate Earlier
This is one of the biggest differences between robotics and ordinary web software.
A software business can sometimes redesign a feature after launch without creating a major operational crisis. A robotics company may already have molds, tooling, suppliers, certifications, hardware inventory, installation crews, purchase orders, and machines sitting inside customer facilities.
Discovering a serious patent problem at that stage can become extremely expensive.
That makes freedom-to-operate analysis, usually shortened to FTO, especially important for physical products.
You do not need to search every bolt and every line of code. Focus first on the areas where your design is commercially important and likely to sit inside an active patent field.
For many robotics companies, that may include grippers, actuator arrangements, autonomous navigation, charging, sensing, computer vision, safety systems, specialized manufacturing systems, human-machine interaction, and core control architectures.
The best moment to discover a blocking patent is while your engineers still have time to design around it.
Your Public Demo Can Become a Patent Event
New York founders love demos, and for good reason. A moving robot is a powerful sales and fundraising tool.
Before you show a genuinely new system at a conference, startup event, investor gathering, university demonstration, customer pilot, media interview, or on social media, ask whether the important inventions have already been captured.
Do not assume that U.S. patent rules will protect an international filing strategy after public disclosure.
A company that expects to seek patent protection in several countries should be especially careful.
Patent counsel should be part of the launch process early enough that filing work does not become a last-minute emergency the night before the robot goes on stage.
Patents and Trade Secrets Should Work Together
Robotics companies often have a strong trade-secret opportunity because some of the technology remains hidden.
Imagine that customers can purchase your robot and easily examine the gripper. That physical architecture may be relatively easy to reverse engineer.
Now imagine that your factory uses a private calibration process that dramatically reduces manufacturing error. Nobody outside the company can see it.
Publishing every detail of that process in a patent application may not always be the best choice.
The opposite can also be true. A secret that becomes obvious as soon as somebody purchases the robot may not stay secret for long.
The correct portfolio may therefore patent visible, durable, reverse-engineerable inventions while keeping genuinely hidden processes confidential.
That decision should be made intentionally rather than by accident.
Pay Attention to Suppliers, Contractors, and University IP
NYC robotics startups frequently depend on outside contributors.
A contract manufacturer may build part of the machine. A freelance engineer may write firmware. A design shop may build a circuit board. A university researcher may contribute an idea, or a supplier may modify an actuator specifically for your system.
Those facts can create ownership questions.
Before important work begins, contracts should explain who owns existing IP, who owns newly developed IP, who owns improvements, what happens to jointly created work, and what confidential information can be used.
Investors care about this, and acquirers care even more.
You do not want to discover during a major acquisition that the contractor who developed a core control method never properly assigned the relevant rights to the company.
Plan the Patent Family, Not Just the First Application
Founders naturally focus on filing the first patent application.
But important robotics inventions often evolve.
The original application may describe a broad platform. Six months later, the engineering team may discover a better sensor arrangement. A year later, the same architecture may be adapted for hospitals, and a new control technique may make the system work outdoors.
A thoughtful portfolio can use continuation practice and carefully timed additional filings to preserve flexibility as the technology develops.
This is another reason to choose counsel based on strategic thinking rather than simply the quoted price of one provisional application.
A cheap first filing can become very expensive if it fails to describe enough of the technology the company later needs to protect.
Which Firm Is Right for Which NYC Robotics Startup?
If your company is early, technically broad, watching cash carefully, and wants a highly involved IP-focused practice, PatentPC is our first choice.
If you want a New York technology firm that can grow with the company through financings, commercial deals, IP work, and corporate matters, Fenwick is a compelling alternative.
If you expect a large global portfolio, complicated patent landscape, serious post-grant work, or eventual litigation, Fish & Richardson offers extraordinary patent infrastructure.
If fundraising, venture work, and company-side transactions are likely to sit next to your patent questions, Goodwin is particularly attractive.
If the product is deeply engineering-heavy and freedom-to-operate work is becoming important, Baker Botts deserves attention.
And if you are building toward a large, sophisticated company with major transactions or disputes ahead, WilmerHale can make a great deal of sense.
Final Verdict
The best patent law firm for a robotics startup is not automatically the firm with the largest patent department.
A seed-stage company and a public robotics manufacturer have completely different legal needs.
For the startup profile NYC Tech Journal modeled, PatentPC ranks #1 with a score of 93.0 out of 100 because its technical breadth, startup orientation, current engagement with robotics and AI technology, IP focus, and public fixed-fee model align closely with the decisions early robotics founders face.
The ranking should still be only the beginning of your decision.
Give the lawyer a real engineering problem. Explain why your robot performs better than competing systems, and listen carefully to the questions that follow.
A strong robotics patent lawyer should begin separating valuable inventions from merely interesting engineering quite quickly.
That distinction is where a genuinely useful patent portfolio begins.
This article provides general business and informational analysis and is not legal advice.
