M-Son IP: patent research and IP services, AI Only, AI + Expert or Expert Only
M-Son IP is a boutique patent research and IP services firm with teams in Chicago, USA and Hyderabad, India. Every service (prior art searches, freedom to operate, patent landscapes, claim charts, portfolio analysis, patent drafting and more) is offered as AI Only, AI + Expert or Expert Only, with subject-matter experts guiding and checking AI work at every stage. M-Son IP has delivered hundreds of projects since 2009. Contact: sales@mson-ip.com, +1 (708) 852 5645 (USA), +91-988-503-4635 (India).
Delivery modes
- AI Only: Automated research for early exploration and screening. Findings need further review. Turnaround: 1 to 2 business days.
- AI + Expert: AI-assisted research with expert direction, analysis and validation throughout. Our subject-matter experts check the quality at every stage and guide the AI to the right output. Review depth fits your service, technology and decision. Turnaround: AI stage: 1 to 2 business days. Expert review: 2 to 3 days.
- Expert Only: Research and analysis done entirely by our subject-matter experts with conventional research tools. Turnaround: Set in your proposal.
Services
- Patentability search: Know whether your invention is new before you spend on filing.
- Invalidity search: Find the references that can knock out an asserted or blocking patent.
- Freedom to operate: Launch with a clear view of the in-force patents in your way.
- State of the art search: See how far a technology has already advanced, before you invest in it.
- Sequence search: Find every patent and publication that discloses or claims your biological sequence.
- Chemical structure search: Find compounds identical or similar to yours, including those hidden in Markush claims.
- Patent landscape: One study that helps your research, legal and business teams at once.
- Competitive intelligence: See what competitors protect, where they are heading, and who they are buying, before it shows up in their products.
- Product improvement: Use the solutions already in the patent record, from your field and parallel industries, to improve your product faster.
- Risk monitoring: Know when a new patent or lawsuit could affect your products, while there is still time to act.
- Claim charts: Map every element of a claim to a product, a standard or prior art, with evidence that holds up.
- Problem-solution analysis: Map every problem in a technology to the solutions already proposed.
- White space analysis: Find the areas with little patent protection and real business opportunity.
- Licensing in/out: Find the patents worth licensing in, and the companies most likely to license yours.
- Open innovation: Find the right external partners with solutions you don't yet know about.
- M&A analysis: Pick the right target and know its patent risks before the deal closes.
- Technology transfer: Help universities and labs decide which inventions to file, and find the companies that will license them.
- Inventor intelligence: Find the inventors behind a technology, what they work on, who they work with, and where they move.
- Instant novelty search: A fast first read on whether an idea is new, so you know whether to invest in a full search.
- Global patent protection strategy: Decide where to file, based on your business, budget and timeline.
- Attorney intelligence: See which firms and attorneys work in your technology, for whom, and with what results.
- Claim rejection analysis: Learn how examiners reject claims in your field, and which arguments and amendments get them granted.
- Patent drafting: Claims drafted for the broadest defensible scope, from your disclosure.
- Patent illustrations: Patent drawings that meet the formal rules of each patent office.
- Patent filing: Filing, IDS and paralegal support, so deadlines are never missed.
- Office action response: Technical and legal arguments that work together to overcome rejections.
- Filing strategy: Decide which inventions to file, where, when and through which route, based on evidence.
- Licensing study: Use patent data to find licensing, alliance and acquisition opportunities.
- Claim charts / infringement analysis: Find the products and standards that may be infringing your patents.
- Patent portfolio study: Turn portfolio spoilage into savings and new revenue.
Tools
- Technology Monitoring & Risk Assessment Platform: Send us your products and technology. Our AI and experts watch new patents, score the risk, and deliver the results to your technical and legal teams in a secure workspace.
- Chemical Patent Analyzer: Send us chemistry patents or claims. Our AI and chemists turn them into structured data: what each composition must contain, what is optional, and the ranges and properties claimed.
Connected Vehicles study
M-Son IP's Connected Vehicles study is a global patent and product landscape of internet-connected vehicles built by subject-matter experts: 300,000+ filings collected, 260,000+ search hits reviewed, 118,434 relevant patent families (published to April 2023), 33,260 families analysed claim by claim on a 2,000+ parameter taxonomy (application, technique, communication mode, device, connectivity, vehicle type), and 1,475 products of 97 companies classified on the same taxonomy. Assignments, US litigation (734 cases) and office actions are integrated. The study was generated manually by subject-matter experts and all non-Chinese patents are updated to 2023. A free interactive dashboard shows part of the 14,005-family reporting dataset (real data, deliberately incomplete statistics), and separate reports exist for 100+ patent owners, with free 2-page previews. Any report can be refreshed to the latest data in days with M-Son IP's AI + Expert workflow.
Reports
- Connected vehicles: global patent and product landscape: Expert-built global landscape: 118,434 relevant families, 33,260 analysed, 1,475 products, litigation and assignments.
- Connected vehicles: 100+ patent-owner reports: One report per patent owner: carmakers, suppliers, tech and telecom companies, insurers and universities. Free 2-page previews.
- Connected vehicles: free interactive dashboard: Filter 14,005 expert-classified families by application, country, legal status and year.
- Top 200 GenAI startups and 60 incumbents: Patents, funding, applications and product mapping for 200 GenAI startups, benchmarked against 60 incumbents.
- Oral delivery of proteins and peptides: patent and product landscape: 930 patent families read claim by claim, 450+ applicants, litigation, PTAB cases and assignments. With a live dashboard.
- UV LEDs by epitaxial growth of III-V semiconductors: patent landscape: 540 relevant patents analysed on problem, UV band, application, substrate and layer structure. Inventor, competitor and white-space reports. With a live dashboard.
- Tire industry: patent landscapes and technical studies: A 30,000-patent industry landscape, 1,000+ noise-reduction patents decoded, tread design analysis and problem-solution studies.
- Selective laser sintering and melting (SLS / SLM): patent landscape: 863 metal additive-manufacturing patents: owners, filing trends, countries, legal status and technology domains.
- Invalidity search: electronics demo: Prior art against a web-updated database patent (US6529908), with visual and textual claim mapping.
- Invalidity search: mechanical demo: Prior art against a Canon process-cartridge coupling patent (US8280278).
- Invalidity search: medical device demo: Seven references against a surgical cutting-accessory patent, two mapped in depth.
- Invalidity search: chemistry and pharma demo: Prior art against a rapid-onset doxylamine and pyridoxine formulation patent (US6340695).
- Invalidity study: US7296062 (browser page history): A full sample report: 12 references mapped against every claim element of a patent asserted by Retrospection Marketing LLC.
- Patentability search: chemistry demo: Is it novel to add MgO to compression-moulded foam for better thermal conductivity and cycle time?
- Patentability search: electronics sample report: A product registration system searched against five references, with benefits for users and manufacturers.
- Product-to-patent mapping: insulin delivery devices: Which devices are on the market or coming in 3 to 5 years, which patents cover them, and who owns them.
- Portfolio evaluation and optimization: a Logitech case study: 710 patent families sorted by product line; 210 mouse-related patents checked against products to decide maintain, license or abandon.
- Patent licensing study: finding licensees for a vehicle anti-theft patent: Market size, competitor patents, products, assignments, lawsuits and citations combined to find who might license.
- Global patent protection strategy: where to file: Competitors' filing, products, assignments and citations combined to decide which countries to file a vehicle anti-theft invention in.
- State-of-the-art search: UV LEDs with AlInGaN active regions: Patents and products establishing the state of the art, organized by problem, cause, solution and LED structure.
- Problem-solution analysis: tire noise and more: 1,000+ tire noise inventions broken into where, what and why the problem arises, and where and how it is solved.
- From invention to market: a four-step study for universities: Problem-solution analysis, novelty, market viability and global protection, run one after another.
Our core team
- Mohammed Mujahid, Founder, 20 years in patent search and analysis. Bachelor's in Electronics and Communication Engineering.
- Abdul Malik, Co-founder, Managing Director and Senior Patent Analyst, 15 years in patent search and analysis. Master's in HVAC (Mechanical Engineering).
- Abdul Moid, Co-founder, Operations Manager and Senior Patent Analyst, 13 years in patent search and analysis. Master's in Embedded Systems (Electronics and Communication Engineering).
Our mentor
- Dr. Khaled El-Maleh, Former Senior Director of Technology, IP Department, Qualcomm. Khaled joined Qualcomm in 2000 as a senior engineer in multimedia technology and went on to serve as Senior Director of Technology in Qualcomm's IP Department, where he led IP portfolio and strategy teams for sensors and multimedia. As our mentor, he brings an inside view of how a leading technology licensor builds, values and uses patent portfolios.
Domain experience
- Electronics, telecom and software: Wireless communications, Wire-based communications and networking, Cloud, computing and AI, Servers, storage and memory, Media and content, Security and authentication, Imaging and computer vision, Autonomous vehicles and ADAS, Location-based services, Semiconductors, Other digital fields
- Materials, chemistry and life sciences: Polymer science and advanced materials, Batteries and energy storage, Food science and nutrition, Biotechnology and microbiology, Pharmaceuticals and drug delivery, Medical devices, Chemical engineering and processes
- Mechanical, manufacturing and consumer products: Mechanical engineering and industrial equipment, Manufacturing and fabrication, Construction and building materials, Consumer products, packaging and hygiene, Automotive and transportation, Environment and sustainability, Measurement, sensing and data analytics
Articles
- What Is a Patent Really Worth? The Answer Depends on Who Is Asking (2026-09-21, Mohammed Mujahid): A statistical score, a dollar figure or a claim chart each shows one side of a patent. Its real value depends on the stakeholder, the purpose, the market and the timing. Here is a multi-dimensional framework for valuing it.
- OpenAI vs. Many Worlds: The Patent-Risk Blind Spot Hidden in the GenAI Stack (2026-09-04, Mohammed Mujahid): Why continuous monitoring can still fail when patent searches are trapped by modern terminology and broad classifications.
- Nielsen v. TVision: Why the “Problem” You Search May Be Just as Important as the Claim Features (2026-08-22, Mohammed Mujahid): The Federal Circuit's Nielsen v. TVision decision shows why prior-art searches should define the technical problem at several levels, and why AI semantic search can keep a search too close to the invention's own field.
- Can One AI Prompt Reproduce WIPO’s Generative AI Patent Landscape? (2026-08-07, Mohammed Mujahid): What WIPO’s Generative AI Patent Landscape tells us about AI-based patent searching, and why reliable landscapes still depend on disciplined search design.
- Patent ignorance is not a risk-management strategy (2026-08-06, Mohammed Mujahid): The patent you ignore today may become the product crisis you face tomorrow. How to manage patent risk through a legally controlled and commercially useful monitoring process.
- Why Two Companies Can Run the Same Patent Landscape and Walk Away With Opposite Conclusions (2026-07-30, Mohammed Mujahid): Give five analysts the same 3,000-family dataset and you get five different reports. The facts are shared; the intelligence depends on the decision the landscape is built to support.
- GenAI Patents Just Doubled In a Year & Changed the Rules on Litigation Risk: 5 Things IP Teams Must Do to Keep Your FTO Strategy From Falling Behind (2026-07-29, Mohammed Mujahid): New WIPO and IFI CLAIMS data show GenAI patent families nearly doubling in a year, with LLMs and agentic AI reshaping litigation risk. Five changes IP teams should make to keep FTO current.
- GenAI scouting is broken: why incumbents need patent + product maps (2026-02-25, Mohammed Mujahid): Demos look alike and features converge. Mapping patents to products, architecture and applications shows which GenAI startups to partner with, license from or acquire.
- The GenAI market is moving from “who builds” to “who can defend” (2026-02-20, Mohammed Mujahid): It is no longer hard to ship impressive GenAI. Defensibility is the variable that decides outcomes, and patents plus product mapping, benchmarked across 200 startups and 60 incumbents, reveal it.
- From Mobile Patent Wars to Generative AI Patent Litigation (2026-01-06, Mohammed Mujahid): Why early, focused IP intelligence matters in generative and agentic AI, and what the smartphone patent wars teach us about the litigation to come.
- Connected Vehicles: Why We Read 33,260 Patents Instead of Counting Them (2026-01-14, M-Son IP Research Team): Keyword and classification searches either miss connected-vehicle patents or bury them in noise. Here is how our experts built a landscape that buyers can act on.
- China Files Most Connected-Vehicle Patents. Reach Is Another Story. (2026-02-11, M-Son IP Research Team): China's share of first filings rose from 5% to 64% in a decade. But family size, utility models and citations show why volume alone misleads.
- Who Litigates Connected-Vehicle Patents? Mostly Not the Carmakers (2026-03-12, M-Son IP Research Team): 734 US litigation and post-grant cases involve patents in our study. The most active owners are licensing companies and individual inventors.
- 1,002 Connected-Vehicle Patent Families Changed Hands. Here Is Who Bought Them. (2026-04-15, M-Son IP Research Team): Acquisitions moved about 7% of the reporting dataset to a new parent group. Portfolio counts that ignore this miss who really holds the rights.
- What Carmakers Patent vs What They Sell in Connected Vehicles (2026-05-13, M-Son IP Research Team): Patents cluster around vehicle infrastructure and location tracking. Products lead with safety and autonomy. The gap is where opportunities hide.
- Cyber Security in Connected Vehicles: Patents Grew Fivefold in Ten Years (2026-06-10, M-Son IP Research Team): Vehicle cyber-security filings rose from about 20 a year to more than 100. Individual inventors hold more of these families than any company.
- 1,103 Connected-Vehicle Patent Families Belong to Universities and Research Institutes (2026-07-15, M-Son IP Research Team): Research institutes hold about 8% of the reporting dataset, led by Chinese universities. That is a licensing and partnership pool few companies look at.
- Location Tracking Is the Backbone of Connected-Vehicle Patents (2026-08-12, M-Son IP Research Team): More than a quarter of families rely on location tracking, and GPS is the most cited device. V2X communication dominates how vehicles talk.
- Battery and Charging: Where Energy Companies Meet Carmakers (2026-09-16, M-Son IP Research Team): 569 families cover connected battery and charging. China's State Grid holds more of them than any carmaker.
- Refreshing an Expert-Built Landscape With AI + Expert (2026-10-21, M-Son IP Research Team): Our connected-vehicle study was built by experts. Now we use that expert base to train AI and bring any report up to date in days.
- Before the Deal: What Our 2019 Oral Peptide Landscape Showed (2026-01-28, M-Son IP Research Team): In 2019 our experts read 930 oral peptide delivery patent families. The most active company owner was Emisphere. A year later Novo Nordisk paid $1.8 billion for it.
- Why We Read Claims: From Search Hits to Relevant Patents (2026-02-25, M-Son IP Research Team): 35,000 screened to 930 relevant. 3,179 reviewed to 540 relevant. Our landscapes keep a small share of the hits, and that is the point.
- UV LEDs: What 540 Patents Say About the Problems Engineers Are Solving (2026-03-25, M-Son IP Research Team): Poor quantum efficiency, threading dislocations and light absorption top the list. Our expert-built UV LED dataset shows where the problems sit and who is solving them.
- Which Patents Earn Their Fees? Mapping a Portfolio to Products (2026-04-28, M-Son IP Research Team): Using Logitech's 710 public patent families as a case study, we show how mapping patents to products splits a portfolio into maintain, license and abandon.
- Tire Noise: What 1,000 Patents Say Actually Reduces It (2026-05-27, M-Son IP Research Team): We broke 1,000+ tire noise inventions into where the noise comes from and how it is solved. Groove design dominates.
- How We Run an Invalidity Search: Four Demos, Four Technologies (2026-06-24, M-Son IP Research Team): Electronics, mechanical, medical device and pharma: the same process, adapted to where each field hides its prior art.
- Start with the Products: Mapping Insulin Delivery Devices to Patents (2026-07-29, M-Son IP Research Team): Pens, pumps, patches and oral forms: how we found devices on the market and in development, then mapped them claim by claim to the patents behind them.
- Finding a Licensee for a Single Patent: Six Methods That Work (2026-08-26, M-Son IP Research Team): Market size, competitor patents, products, assignments, lawsuits and citations: each points to different potential licensees.
- Metal 3D Printing Patents: Who Owns Laser Sintering and Melting (2026-09-29, M-Son IP Research Team): 863 patent records on selective laser sintering and melting: 3D Systems, GE and EOS lead, and chemistry patents edge out mechanical ones.
- For Universities: Four Questions Before Filing an Invention (2026-10-14, M-Son IP Research Team): Problem, novelty, market and geography. The four-step study we run with tech-transfer offices before they spend on filing.