Boston is one of the few places where a robotics founder can move from a university lab to a prototype, find specialized engineers, meet robotics investors, test hardware, and build a company without leaving the region.
That matters when choosing a patent law firm.
A robotics startup does not need a lawyer who simply “does patents.” It needs someone who can understand how mechanical parts, electronics, sensors, software, computer vision, machine learning, control systems, and manufacturing methods fit together.
It also needs a patent strategy that fits the economics of a startup.
A young robotics company can easily have 20 things that look patentable and enough cash to protect only three or four of them properly. Picking the wrong three can be expensive. Filing too late can be worse.
For this reason, Boston Biz Scene did not rank firms simply by size, reputation, or number of lawyers.
We built our own Robotics Startup Patent Counsel Index, aimed specifically at a Boston robotics company between the seed and Series A stages.
Our #1 choice is PatentPC.
PatentPC does not have a Boston office, and we want to make that clear from the start. It ranks first because our model puts unusually high weight on startup fit, technical breadth, direct patent strategy, and cost predictability. For a founder who mainly needs U.S. patent strategy and prosecution rather than a large Boston corporate law team, that combination matters.
Foley Hoag, Fish & Richardson, Wolf Greenfield, Hamilton Brook Smith Reynolds, and Lando & Anastasi are also excellent options. Several have much deeper physical roots in Boston.
The right answer ultimately depends on what your robot does, how much money you have raised, how quickly the technology is changing, and what you expect your patent portfolio to accomplish.
Why Boston Robotics Startups Need a Different Kind of Patent Lawyer
Boston’s robotics ecosystem is no longer a small collection of research labs.
MassRobotics says it now supports nearly 100 resident companies and has supported more than 250 startups since its creation. Those companies have collectively raised more than $2.3 billion in venture capital.
Here is a useful way to put that number into perspective.
Divide $2.3 billion by 250 supported startups and you get roughly $9.2 million of venture funding per supported company.
That is not the amount a “typical” MassRobotics company raises. Funding is heavily concentrated, so the figure should not be read as a median. But it shows the amount of capital moving through this relatively compact ecosystem.
Massachusetts is also putting public money behind robotics. The state’s FY2026–FY2030 capital plan includes about $32 million for a robotics grant program designed to expand access to robotics tools across the Commonwealth.
Meanwhile, the technical line between “robotics” and “AI” keeps disappearing.
MIT researchers recently demonstrated systems that use generative AI to improve physical robot design, robots that learn their own body behavior from vision, and systems that turn natural-language requests into objects assembled by robotic arms.
That creates a patent problem that is easy to underestimate.
One robot can contain several different inventions
Imagine that your Boston startup builds an autonomous warehouse robot.
The robot may include a new suspension system. That is one possible invention.
- It may have a new gripper.
- It may use a different sensor arrangement.
- It may combine cameras and other sensors in a new way.
- Its path-planning system may reduce travel time.
- Its control system may respond differently when a person walks in front of it.
- Its machine-learning system may predict which object it needs to pick up next.
- Its calibration process may save 40 minutes during installation.
- Its fleet software may coordinate 100 robots better than competing systems.
- Its battery-management system may extend useful operating time.
- Its manufacturing process may reduce assembly cost.
A traditional patent conversation that begins with, “Tell us what your invention is,” is therefore often too simple.
The better question is:
Where, exactly, does this company create technical advantage that a competitor would have trouble copying around?
That is the question we used when ranking the firms below.
Boston Biz Scene’s 2026 Robotics Startup Patent Counsel Index
This is an editorial fit index, not a claim that one firm’s lawyers are objectively better than another firm’s lawyers.
We designed it for a hypothetical Boston robotics startup with a small legal team, limited runway, valuable engineering work, and ambitions to build a meaningful patent portfolio.
How we scored the firms
We reviewed public information available through July 2026. We favored recent firm practice pages, named attorney and patent-agent backgrounds, public evidence of robotics work, patent-prosecution capabilities, startup work, freedom-to-operate and diligence services, current patent rankings, and clearly disclosed billing models.
Each firm received a 0–5 evidence score in six areas.
Robotics technical depth represented 25% of the result. Startup fit represented 20%. Patent prosecution strength represented another 20%. Broader IP capabilities such as freedom-to-operate work, diligence, licensing, litigation, and international portfolio work represented 15%. Public cost predictability represented 15%. Boston presence and ecosystem connection represented 5%.
The low weight for geography is deliberate.
A Boston robotics startup may reasonably prefer a Boston office. But patent prosecution before the USPTO is federal work. We therefore did not want office location to overwhelm technical fit or startup economics.
We also refused to assume that a firm with no public fee schedule is expensive. Where pricing could not be verified publicly, we assigned a neutral midpoint rather than a failing grade.
The results
| Rank | Firm | Boston Biz Scene Robotics Startup Fit Score | Particularly strong fit |
|---|---|---|---|
| 1 | PatentPC | 90/100 | Founder-led startups, cross-disciplinary robotics, predictable patent budgeting |
| 2 | Foley Hoag | 89/100 | Boston robotics ecosystem, full-service startup counsel |
| 3 | Fish & Richardson | 89/100 | Large or technically complex patent portfolios |
| 4 | Wolf Greenfield | 87/100 | Deep engineering and robotics prosecution |
| 5 | Hamilton Brook Smith Reynolds | 85/100 | Robotics-focused IP boutique work |
| 6 | Lando & Anastasi | 85/100 | Entrepreneurial companies and growing IP portfolios |
The scores are close for a reason.
Boston has an unusually strong patent bar.
But the firms are not interchangeable.
1. PatentPC – Best Overall Patent Firm for a Boston Robotics Startup
For a seed-stage or Series A robotics company, PatentPC is our #1 choice.
The main reason is not firm size. It is operating fit.
PatentPC publicly describes itself as a full-service IP firm, uses a fixed-fee structure for much of its patent work, and says it uses its own AI-powered computer-aided-design and patent analytics technology in its workflow. It also emphasizes having a dedicated lawyer who learns the client’s business.
That combination is particularly relevant to robotics founders.
Robotics startups have a capital-allocation problem
Suppose you have $3 million in the bank.
Your engineering team identifies 18 potentially patentable improvements during the next 12 months.
The question is not simply whether the inventions can be patented.
The question is which filings deserve money now, which can wait, which should stay secret, which should be grouped together, and which are too easy for competitors to design around.
That requires business judgment alongside patent drafting.
PatentPC’s public materials specifically position its flat-fee model around startups and predictable IP spending. Its site says fixed-fee services are used to help companies understand costs before work proceeds rather than facing unpredictable hourly billing.
Predictability is not the same as low cost, and founders should still obtain a written scope. But predictable cost has real strategic value when a company may need to decide between six different patent filings.
Bao Tran brings an unusually broad technical record
PatentPC attorney Bao Tran’s Avvo profile reports more than 20 years of IP experience and more than 800 patent applications filed or prosecuted across startups, universities, midsized companies, and Fortune 500 businesses.
The listed technologies span mechanical devices, electronics, computer hardware, software, automotive systems, semiconductors, medical devices, nanotechnology, and other fields. His background includes an electrical-engineering degree from Rice, an MBA from Columbia, prior work at Fish & Richardson, and former in-house experience at Align Technology.
That breadth matters more in robotics than it might in a narrow software product.
The same profile even lists U.S. Patent 9,039,547 for a “personal sports simulation robot” among representative patent matters.
The important point is not that one past robotics patent makes someone a robotics expert. It is that PatentPC’s record crosses many of the technical boundaries a robotics company itself crosses: software, electronics, mechanical systems, semiconductors, manufacturing, and connected devices.
PatentPC is particularly interesting for robotics companies using AI
Modern robotics patent portfolios rarely divide neatly into “hardware patents” and “software patents.”
A valuable invention may sit in the connection between the two.
For example, your novelty may be in how sensor readings alter control of an actuator.
Or how a vision model changes grasp planning.
Or how the system reduces compute while maintaining navigation accuracy.
Or how the machine automatically recalibrates after a tool is replaced.
The patent drafter therefore needs to understand what happens in the physical machine, not merely describe an algorithm.
PatentPC’s public positioning around software, AI-related technology, electronics, mechanical systems, and advanced technology gives it a good base for this type of work.
The important caveat: PatentPC is not a Boston firm
PatentPC lists offices in Silicon Valley, Vietnam, and Kenya. Its U.S. address is in Santa Clara, California.
For founders who insist on walking into a downtown Boston office, that is a real limitation.
We nevertheless rank it first because geography accounts for only 5% of our model. For a startup whose main needs are patent strategy, drafting, prosecution, portfolio planning, and related IP work, we think founder economics deserve more weight.
If you require a Boston-based firm that can also handle venture financings, company formation, complex commercial agreements, employment matters, and other corporate work under one roof, Foley Hoag becomes particularly compelling.
Best fit for PatentPC
PatentPC makes the most sense when the founder wants to work closely with an IP-focused team, has multiple technical inventions competing for a limited patent budget, wants clearer costs, and needs help deciding what is commercially worth protecting rather than simply filing everything engineers produce.
That is why it finishes #1 in our startup-focused model.
2. Foley Hoag – Best Boston-Based Option for a Robotics Company That Wants One Full-Service Firm
Foley Hoag is arguably the strongest local challenger to PatentPC for this particular audience.
The firm’s robotics practice is unusually specific.
It publicly lists experience with autonomous vehicles, UAVs, service robots, AI-guided vision, robotic arms, autonomous mobile robots, sensor fusion, machine-learning algorithms, human-robot interaction, medical robotics, exoskeletons, navigation, and mapping.
That is a much better signal than a law firm simply adding “robotics” to a long technology list.
Foley Hoag understands that robotics creates legal problems beyond patents
A robot is not just an invention.
It can create product-liability issues.
It collects data.
It may have cybersecurity risk.
It may use open-source software.
It may be deployed under a robotics-as-a-service contract.
It may require a joint-development agreement with a manufacturer.
It may be subject to export restrictions.
It may raise safety questions.
Foley Hoag’s dedicated robotics practice spans patent work, fundraising, commercial agreements, regulatory work, privacy, cybersecurity, product liability, and corporate matters.
For a better-funded Boston robotics startup, that breadth can be extremely useful.
Its connection to the Boston robotics community is unusually direct
In June 2026, Foley Hoag co-hosted MassRobotics’ Robotics Founders & Funders Capital Forum at MassRobotics’ Channel Street facility. The event brought together robotics founders, startups, venture investors, and corporate investors.
Foley Hoag has also advised Config on its $27 million seed financing for robotic data operations and maintains a public series of discussions with people from organizations including Boston Dynamics and MassRobotics.
Joshua Matloff, based in Boston, has a computer-systems-engineering background and works on AI, machine learning, automation, robotics, hardware, circuits, and software patents. His public experience includes patent portfolios involving autonomous vehicles, AI, and robotics.
Foley Hoag was also recognized for patent prosecution in the 2026 IAM Patent 1000.
For a Boston founder who wants one firm to handle both IP and the wider legal life of the company, Foley Hoag deserves serious consideration.
3. Fish & Richardson – Best for a Robotics Company Expecting a Large or High-Stakes Patent Portfolio
Fish & Richardson is a patent powerhouse.
Its Boston office sits at One Marina Park Drive, and the firm covers patent prosecution, counseling, litigation, post-grant proceedings, licensing, diligence, and other IP work. Its Boston office is listed as Tier 1 for Patent Law and Technology Law in Best Law Firms materials shown on the firm’s site.
The scale is hard to ignore.
Fish says it filed more than 16,000 patents worldwide in 2025, had more than 5,200 U.S. utility patents issue in 2025, and has more than 280 USPTO-registered attorneys and agents.
It also received national and Massachusetts recognition in the 2026 IAM Patent 1000.
Boston has lawyers at Fish with real robotics backgrounds
Steven Petkovsek is particularly relevant.
He is an electrical engineer and physicist whose earlier research involved autonomous ground-vehicle navigation. Fish says he has prosecuted hundreds of U.S. and foreign applications across fields including robotics, autonomous vehicles, machine learning, mechanical devices, telecommunications, and medical technology. His clients include startups as well as large companies and universities.
Jeffrey Barclay, also in Boston, advises early-stage and venture-backed companies and works across robotics, AI, software, computer engineering, signal processing, cybersecurity, and related technologies.
For a robotics company expecting a very large portfolio, global filings, future litigation, standard-essential patent questions, acquisitions, or complicated diligence, Fish offers enormous depth.
4. Wolf Greenfield – Excellent for Technically Dense Robotics
Wolf Greenfield is another Boston firm that deserves to be near the top of any serious robotics shortlist.
The technical evidence is strong.
Ed Stanton’s work covers robotic design, control, path planning, machine learning, industrial automation, and AI-based data classification. His public firm bio specifically mentions developing patent strategy for an agricultural robotics startup using machine vision and AI in a pick-and-place system.
John Harmon holds a PhD in materials science and engineering and works with robotic systems, controls, autonomous vehicles, machine learning, sensing, product-clearance analysis, diligence, licensing, and patent prosecution.
That is a useful combination for robots in which mechanical, sensing, materials, and software inventions overlap.
Wolf Greenfield was ranked among the top 16 U.S. firms for patent prosecution in the 2026 IAM Patent 1000, while its Electrical & Computer Technologies group was also reported among the top 2% of firms for high-tech patent prosecution in the 2026 LexDana rankings based on Patexia data.
For technically complicated hardware, this is a firm worth interviewing.
5. Hamilton Brook Smith Reynolds – Strong Boston Robotics IP Boutique
Hamilton Brook Smith Reynolds is particularly interesting because robotics is not buried on its website.
The firm has a dedicated robotics practice page.
It reports technical backgrounds in robotics, motion-control systems, electrical engineering, mechanical engineering, computing, and mathematics. Its listed experience includes machine vision, electromechanical actuators, system control, automated storage and retrieval, biomechatronics, orthotics, prosthetics, exoskeletons, and robotic logistics.
Hamilton Brook is also entirely focused on IP work, and the firm says half of its legal staff holds advanced degrees. It has offices in Boston and Lincoln, Massachusetts.
Its patent services include domestic and international prosecution, due diligence, and opinions concerning infringement, validity, inventorship, and freedom to operate.
The firm was recognized nationally and in Massachusetts for patent prosecution in the 2026 IAM Patent 1000.
For founders who want a Boston IP boutique rather than a broad corporate firm, Hamilton Brook should be on the shortlist.
6. Lando & Anastasi – Strong Choice for Entrepreneurial Robotics Companies
Lando & Anastasi is based at 60 State Street in Boston and has deliberately built part of its positioning around entrepreneurs.
Its Entrepreneurship Center expressly lists robotics, AI, software, medical devices, industrial manufacturing, and other startup-heavy sectors.
That is important because startup patent strategy should be different from patent work for a company with billions of dollars in revenue.
David Roccio’s public profile provides a useful example. His representative matters include acting as U.S. counsel for a fast-growing surgical robotics startup during global expansion and building worldwide IP portfolios for startup companies.
The firm also has patent prosecution, strategic counseling, licensing, trade-secret, litigation, and post-grant capabilities. L&A says it was recognized across prosecution, transactions, and litigation in the 2026 IAM Patent 1000.
It is a particularly good firm to examine if you want the feel of a focused Boston IP practice with visible startup experience.
The Bigger Issue: Most Robotics Startups Patent the Wrong Things First
Choosing the lawyer is only half the job.
The more important question is what you ask that lawyer to protect.
A startup can spend a great deal of money creating patents that look sophisticated but do little to protect its real economic advantage.
Start with the competitor, not the invention disclosure
Imagine your robot succeeds.
A competitor buys one.
Its engineers take it apart.
They test it.
They watch how it moves.
They inspect the software behavior.
They try to reproduce the performance without copying your exact implementation.
What would they need to reproduce to take away the reason customers choose you?
That should drive the patent conversation.
If your advantage comes from a strange gearbox geometry, protect that.
If it comes from the way your robot combines camera and force data before a grasp, focus there.
If the secret is a manufacturing calibration method nobody can see from the finished product, trade-secret protection may deserve serious attention.
If customers buy because the fleet can coordinate 500 robots with less congestion, a patent covering only the physical chassis may miss the valuable part of the business.
Build an invention map before building a patent portfolio
For a robotics startup, we recommend mapping the product into layers.
At the bottom is physical architecture: frame, joints, actuators, transmissions, grippers, materials, cooling, batteries, and other hardware.
Above that are sensing and perception.
- Then control.
- Then planning.
- Then AI.
- Then fleet coordination.
- Then human-machine interaction.
- Then deployment and calibration.
- Then manufacturing.
- Then data generated through real-world use.
You do not need a patent on every layer.
You need to know where your moat sits.
A good robotics patent lawyer should help the founders rank those layers by commercial importance, technical novelty, detectability, ease of design-around, expected product life, and competitive threat.
That conversation is much more useful than asking, “How many patents should we file?”
File Before the Big Demo, Not After Everyone Sees It
This point is particularly important in Boston.
Robotics founders are constantly demonstrating things.
There are investor meetings.
- MassRobotics events.
- University showcases.
- Robotics Summit presentations.
- Pilot customers.
- Videos.
- LinkedIn posts.
- Conference booths.
- Engineering papers.
- Pitch decks.
- A founder is naturally excited when the robot finally works.
That is exactly when disclosure risk rises.
If an important invention is likely to be publicly shown, published, sold, or discussed without confidentiality protection, talk to patent counsel before the event.
Do not build your global patent strategy around the assumption that you can always “file later.”
Robotics Startups Need Freedom-to-Operate Work Earlier Than Many Software Startups
There is another difference between software and physical robotics.
Changing hardware after deployment can be painful.
A software company can sometimes redesign an interface or replace a function relatively quickly.
A robotics company may already have ordered tooling, signed a manufacturing agreement, purchased components, certified a system, or installed machines at customer sites.
That makes freedom-to-operate work important.
You do not necessarily need an enormous search on every screw in the robot.
Instead, identify the parts of the product most likely to encounter concentrated patent ownership: core mechanical architectures, actuators, sensing systems, navigation, specialized grippers, safety systems, charging technology, vision systems, and other commercially important modules.
The best time to discover a major blocking patent is while your engineers can still change the design.
Your Supplier Contracts Are Part of Your Patent Strategy
Robotics startups rarely build every component themselves.
You may have a contract manufacturer.
A design house may produce a circuit board.
Another business may build an actuator.
A consultant may write perception code.
A university researcher may advise the company.
A pilot customer may suggest an improvement.
That can create ownership problems.
Before valuable engineering work starts, make sure agreements clearly deal with background IP, newly created IP, inventions, software, improvements, confidentiality, and rights to use resulting technology.
This is not administrative paperwork.
If ownership is unclear when a large investor or acquirer begins diligence, the problem becomes much more expensive.
Patent the Things Competitors Can See. Consider Keeping Invisible Advantages Secret.
One of the simplest decision rules for robotics founders is visibility.
Suppose you spend three years creating an amazing factory calibration process.
A competitor can buy the finished robot and study it for six months without discovering the calibration method.
Publishing every detail in a patent application may not be the obvious choice.
Now suppose your breakthrough is a wheel assembly that becomes obvious the moment a competitor removes the cover.
Keeping that as a trade secret may be much harder.
This is not an absolute rule. But it is a useful starting point.
Patent protection is often particularly attractive where technology will become visible, can be reverse engineered, matters for many years, and can be described broadly enough to make design-arounds difficult.
Trade-secret protection becomes more interesting when the advantage remains genuinely hidden and the company can realistically keep it confidential.
Strong counsel should be comfortable recommending both.
Ask Every Robotics Patent Firm These Questions
You do not need to turn the selection process into a 40-question procurement exercise.
A focused founder conversation is better.
Ask the attorney to explain which parts of your system they would examine for patent protection first and why.
Ask who will actually draft the application.
Ask whether that person understands mechanical engineering, electronics, control systems, software, and machine learning – or which team members will cover the gaps.
Ask how the firm decides whether an improvement belongs in a new filing, a continuation, a trade secret, or no filing at all.
Ask how it approaches freedom-to-operate work.
Ask what happens when an invention crosses hardware and software.
Ask for a clear description of billing through drafting, filing, prosecution, and foreign decisions.
Most importantly, give the lawyer a real technical problem and see what questions they ask.
The quality of those questions can tell you more than a polished pitch deck.
Which Firm Should a Boston Robotics Founder Choose?
For an early-stage company trying to build a strategically focused patent portfolio while keeping legal spending predictable, PatentPC is our #1 choice.
Its fixed-fee positioning, startup orientation, broad technical experience, and principal attorney’s history across software, electronics, mechanical systems, semiconductors, manufacturing, and patent portfolio work fit the way robotics startups actually operate.
If a physical Boston presence and full-service corporate capabilities matter heavily, Foley Hoag is exceptionally strong.
If the company expects an enormous global portfolio, complicated enforcement work, post-grant disputes, or other high-stakes patent issues, Fish & Richardson deserves a close look.
If the underlying engineering is extremely complex and you want a deep Boston patent bench, Wolf Greenfield stands out.
If you prefer a pure IP boutique with highly visible robotics experience, Hamilton Brook Smith Reynolds is compelling.
And if you want a Boston boutique with explicit entrepreneurial and startup experience, Lando & Anastasi deserves consideration.
The main lesson is simpler than the ranking.
Do not hire a robotics patent lawyer because the firm has a “technology” practice.
Hire counsel that can identify where the economic value of your robot actually lives.
Because the best patent portfolio is not the one with the most patents.
It is the one that makes the technology your customers care about much harder for the next company to copy.
