Capabilities
Artificial Intelligence
Artificial intelligence is transforming virtually every industry, from generative AI and computer vision to robotics, drug discovery, and edge computing.
We support AI innovators, IP professionals, law firms, and investors with technical patent research for innovation, portfolio strategy, licensing, litigation, and IP risk management.
Artificial Intelligence at a glance
Understanding the AI IP landscape
Artificial intelligence is one of today’s fastest-growing areas of innovation, transforming industries ranging from healthcare and semiconductors to finance, robotics, and enterprise software. As organizations race to commercialize foundation models, generative AI, and AI infrastructure, AI-related patent filings continue to grow rapidly, creating an increasingly competitive and complex IP landscape.
230K+
AI patent families published globally through 2023 *
130K+
AI patents granted globally in 2024*
74.2%
Global AI patents granted to China in 2024*
AI also presents its own unique IP challenges. The rapid pace of innovation, coupled with evolving model architectures, training techniques, and software implementations, makes it increasingly difficult to define novelty, assess patentability, and evaluate competing IP. In the U.S., AI-related inventions frequently face patent eligibility scrutiny under the Alice framework, adding another layer of complexity to patent prosecution and enforcement.
IP Challenges in Telecommunications
Navigating a rapidly evolving AI patent landscape
AI innovation evolves faster than traditional patent cycles. From patent eligibility and crowded prior art to proprietary cloud-based systems and open-source ecosystems, organizations need comprehensive technical research to make informed IP decisions throughout the innovation lifecycle.
Patent eligibility under Alice
Software-based AI inventions frequently face patent eligibility challenges. Successful protection often depends on demonstrating concrete technical improvements and carefully drafted claims.
Broader technical landscape
AI-related IP decisions require navigating a technical landscape that extends well beyond patents. Organizations must consider advances emerging from academia, open-source communities, and commercial AI platforms alongside traditional patent literature.
Rapid innovation outpace patent cycles
AI models and techniques evolve in months rather than years. Companies must continuously monitor competitors and emerging technologies to maintain effective patent strategies.
Proving infringement in black-box AI systems
Many AI platforms operate as proprietary cloud services, making infringement analysis and evidence-of-use investigations more complex than traditional software products.
Trade secrets add a layer of complexity
Many AI innovations remain protected as trade secrets, making it more challenging to understand commercial implementations, evaluate patents, and assess competitive technologies.
Open-source AI complicates patent strategy
Modern AI products frequently build upon open-source frameworks, creating additional considerations for patentability, licensing, freedom to operate, and commercialization.
How we help
Support across every stage of the innovation process
From early-stage innovation through commercialization and enforcement, we provide technical patent research that supports strategic IP decisions throughout the AI lifecycle.
Protect your innovation
- Startups
- R&D Teams
- Inventors
- Universities & Research Institutions
- Technology Companies
Reduce patent litigation risk
- Patent Litigation Attorneys
- In-House IP Counsel
- Defendants in Patent Litigation
- Patent Owners
- Insurance Providers
Support licensing and monetization
- Patent Owners
- Licensing & Monetization Teams
- Technology Transfer Offices
- Universities
- Patent Brokers
Strengthen patent portfolios
- Corporate IP Teams
- Patent Portfolio Managers
- Investors & Acquirers
- Innovation Leaders
- IP Strategy Teams
Build stronger AI patent portfolios
AI inventions often combine advances in model architectures, training techniques, software, and hardware, making it increasingly difficult to establish novelty and define patentable technical improvements.
Organizations must navigate evolving prior art, patent eligibility considerations, and a rapidly changing state of the art when building AI patent portfolios.
How we help
- Strengthen patentability assessments. Conduct comprehensive prior art searches across patents, scientific literature, open-source resources to support patentability assessments or design-arounds.
- Stay ahead of the state of the art. Monitor emerging AI innovations, competitors, and research trends that may impact patent strategy.
- Navigate AI patent eligibility.
Support claim drafting with patent agent expertise to emphasize technical improvements and patent-eligible subject matter. - Improve prosecution outcomes. Provide technical support for office action responses, examiner interviews, and patent prosecution.
Solutions
Patentability Search
Identify relevant patents and non-patent literature before filing AI, machine learning, and software-related inventions.
State-of-the-Art Search
Patent and technical literature research covering existing AI technologies.
Patent Drafting
Patent drafting support for complex AI, machine learning inventions. Covers U.S. provisional and non-provisional, PCT applications.
Patent Filing and Prosecution
Support preparation and prosecution of AI patent applications with emphasis on technical implementation, novelty, and patent eligibility.
Defend and enforce AI patents with confidence
AI patent disputes often require technical analysis extending beyond patents to research publications, open-source software, product documentation, APIs, and cloud-based implementations.
Our multidisciplinary research supports patent litigation and enforcement involving machine learning, generative AI, computer vision, and AI infrastructure.
How we help
- Build stronger invalidity positions. Conduct comprehensive prior art investigations across patents, scientific literature, open-source software, firmware, hardware documentation, and historical AI research.
- Uncover foundational AI prior art. Identify early machine learning research, legacy AI systems, embedded technologies, and non-patent literature that may challenge patent validity.
- Support patent enforcement.
Develop technical analyses, claim charts, and Evidence of Use through software analysis, hardware teardowns, firmware analysis, and reverse engineering. - Extend your litigation team. Provide patent search and technical research support across district court, PTAB, and ITC proceedings.
Solutions
Patent Invalidity Search
Identify patents, research papers, GitHub repositories, conference publications, and historical disclosures relevant to challenging asserted AI patents.
Patent Litigation Consulting
Provide technical analysis, claim mapping, evidence-of-use research, and litigation support throughout AI patent disputes.
Evidence of Use Search
Identify available evidence demonstrating implementation of AI technologies through documentation, APIs, user testing, research publications, and product analysis.
Product Teardown & Reverse Engineering
Analyze hardware, firmware, embedded software, and AI systems to uncover technical evidence supporting licensing and enforcement.
Support stronger AI licensing decisions
Whether licensing AI technologies or responding to licensing demands, understanding patent strength and commercial implementation is essential.
Because AI systems often span software, hardware, firmware, cloud infrastructure, and machine learning models, building credible technical evidence is essential for successful licensing and commercialization.
How we help
- Identify licensing opportunities. Identify where patented AI technologies are implemented across commercial products and platforms.
- Develop technical evidence. Uncover evidence through product teardowns, hardware analysis, firmware extraction, and reverse engineering.
- Connect patents to products.
Map patented features to real-world AI implementations using technical documentation and product analysis. - Strengthen licensing positions. Develop technical evidence that supports licensing discussions, portfolio valuation, and commercialization efforts.
Solutions
Evidence of Use
Identify available evidence demonstrating implementation of AI technologies through documentation, APIs, user testing, research publications, and product analysis.
Product Teardown & Reverse Engineering
Analyze hardware, firmware, embedded software, and AI systems to uncover technical evidence supporting licensing and enforcement.
Freedom to Operate Search
Assess patent risks associated with AI systems, cloud services, software platforms, and AI-enabled hardware before commercialization.
Identify patents that may require licensing before commercializing AI products.
Patent Due Diligence
Evaluate AI patent portfolios before licensing, acquisitions, investments, strategic partnerships, or pursuing defensive or offensive patent litigation.
Stay ahead of AI innovation
The AI landscape evolves rapidly across startups, academia, and major technology companies. Monitoring patent activity alongside research publications provides valuable insight into emerging technologies and competitor strategies.
How we help
- Understand the AI landscape. Analyze patent activity, research publications, and technology trends across AI domains.
- Benchmark against competitors. Compare AI patent portfolios to identify strengths, gaps, and strategic positioning.
- Spot emerging opportunities. Identify whitespace, technology shifts, and innovation trends that influence patent strategy.
- Guide portfolio investments. Deliver technical intelligence to support R&D planning, portfolio development, and investment decisions.
Solutions
Patent Landscape & Analysis
Analyze filing trends, technology evolution, emerging players, and innovation across AI domains including generative AI, computer vision, NLP, robotics, and AI hardware.
State-of-the-Art Search
Comprehensive searches spanning patents and non-patent literature to establish the current state of AI technology before filing or product development.
Competitive Intelligence
Monitor competitor filings, research publications, product launches, acquisitions, and licensing activity to inform strategic decision-making.
Reduce IP risk before critical decisions
Whether preparing for commercialization, evaluating an acquisition, or entering a licensing agreement, understanding the strength and risks of AI-related patents is essential. We provide technical patent research that helps organizations assess portfolios, identify potential obstacles, and make informed strategic decisions.
How we help
- De-risk AI product launches. Assess freedom to operate before bringing AI-enabled products to market.
- Identify licensing and commercialization risks. Evaluate third-party patents that may impact product development or require licensing.
- Validate AI patent portfolios. Evaluate the strength, relevance, and technical significance of AI patent portfolios during investments and acquisitions.
- Support informed business decisions. Deliver technical research that strengthens IP due diligence, portfolio evaluation, and licensing strategies.
Solutions
Freedom to Operate Search
Identify potential patent barriers and reduce IP risk before commercializing AI innovations.
Patent Due Diligence
Evaluate patent assets and identify IP risks before transactions.
Patent Stress Test
Identify weaknesses and risks before licensing or litigation.
Competitive Intelligence
Monitor competitor filings, research publications, product launches, acquisitions, and licensing activity to inform strategic decision-making.
Explore Use Cases
Discover how our patent research and technical analysis support licensing, litigation, innovation, due diligence, and strategic IP decision-making.
Client Success Stories
Explore how we create value for our clients
Learn how we’ve partnered with law firms, in-house counsel, and technology companies to solve complex challenges in artificial intelligence IP.
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