Patentability Search: 15 Key FAQs & Process Explained

Home / Blog / Intellectual Property (IP) / Patentability Search: 15 Key FAQs & Process Explained

I. Introduction  

In the competitive world of innovation, securing a patent is often crucial for protecting intellectual property and gaining market advantage. However, before filing a patent, it’s essential to determine whether an invention is truly novel and non-obvious. This is where a patentability search comes in. 

A patentability search helps inventors and companies assess the likelihood of obtaining a patent by reviewing existing patents, patent applications, and other forms of prior art.

The importance of patentability searches has grown exponentially as innovation accelerates across industries. Conducting a thorough search helps inventors avoid investing time and resources into inventions that may already be covered by prior patents. 

It also provides a clear understanding of how an invention stands relative to existing technologies, allowing inventors to refine their ideas or adapt their claims for better chances of approval.

With the global nature of patenting, the increasing complexity of technologies, and the expanding patent databases, patentability searches have become indispensable. 

Whether for startups or large corporations, these searches offer invaluable insights, helping shape strategies for intellectual property protection, business development, and risk management. 

They ensure that inventions can stand out and be legally safeguarded in an ever-evolving marketplace.

Table of Contents

II. FAQs About Patentability Searches

1. What Role Does a Patent Classification System Play in a Patentability Search?

Patent classification systems (like CPC – Cooperative Patent Classification, and IPC – International Patent Classification) are pivotal in structuring searches. These systems categorize patents based on their technological area, making it easier to identify relevant prior art.

A detailed understanding of relevant classes enables searchers to efficiently sift through large patent databases, focusing on specific fields such as semiconductors, pharmaceuticals, or software. 

In more complex fields, having access to proper classification data can significantly increase the efficiency of the search, ensuring no key patent or application is overlooked.

2. How Do Patentability Searches Handle Abstract Technologies or Software-Related Inventions?

Software and abstract technologies present unique challenges in patentability searches due to their often complex, non-tangible nature. Searching for software-related patents or technologies involves specific strategies:

  • Use of Keywords and Algorithms: Searching requires specific Boolean logic and algorithms that can narrow down to abstract concepts within software code, AI models, or algorithms.
  • Complex Patent Classifications: Software and algorithm-related patents are often classified under broader categories such as electrical engineering or information technology, so understanding niche classifications is essential.
  • Non-Patent Literature (NPL): For abstract technologies, NPL such as academic papers, technical reports, or proprietary research is also critical, as many software innovations aren’t covered by traditional patent documents alone.

Patentability searchers often rely on semantic searching techniques and AI tools to detect subtle, potentially novel aspects of software inventions, addressing challenges unique to this field. 

3. What is the Role of Semantic Search in Patentability Searches?

As patent databases grow exponentially, traditional keyword-based searches can miss nuanced or contextual relationships between patents. 

Semantic search leverages AI and natural language processing (NLP) to identify conceptually related documents, even when exact keywords or phrases don’t match.

  • How it works: Semantic search goes beyond simple keyword matching to identify patents with related ideas, applications, or implementations, even if they use different terminology.
  • Use cases: This is particularly useful for inventions where the description is technical, complex, or abstract, such as machine learning algorithms, biotechnology, or cutting-edge materials. Semantic search allows inventors to uncover potentially overlapping patents that might be hidden in plain sight with traditional searches.
  • Limitations: While powerful, semantic search still requires careful interpretation of results. Patent claims can be drafted in highly specific technical language, which can introduce complexities in matching concepts precisely. 

4. How Do Patentability Searches Handle Patent Families and Patent Continuity?

Patent families are groups of patents or patent applications that relate to the same invention but are filed in multiple jurisdictions or through different patent offices. In the context of patentability searches, understanding the structure of patent families is essential.

  • Patent Continuity: This includes continuation, divisional, and CIP (Continuation-in-Part) applications, where claims are modified over time. A single invention can have multiple related filings, and one prior patent might influence the novelty assessment of another.
  • Search Challenge: Patentability searchers must identify not only the core patent but also related filings within the same family. This ensures that the full spectrum of related claims is evaluated, preventing overlooked prior art that could invalidate a new patent filing.
  • Global Jurisdictions: International patent systems like PCT (Patent Cooperation Treaty) allow for simultaneous global filings. Searching across these jurisdictions requires understanding the nuances of local patent law and available databases, which is particularly important for technologies with global applications. 

5. Can Patentability Searches Identify Potential Patent Thickets?

In highly competitive industries like telecommunications, biotechnology, or automotive technology, a patent thicket is a situation where multiple patents overlap, creating a dense web of intellectual property that can hinder further innovation.

  • Identifying Patent Thickets: During a patentability search, advanced analysis is used to determine if an invention could potentially face patent thickets. These areas often require more extensive searches to ensure an invention does not inadvertently infringe on existing patents while also assessing the strategic risks of entering a market already crowded with overlapping patents.
  • Strategic Implications: Finding a patent thicket during the search process allows companies to adjust their innovation strategies—whether through licensing, design-around strategies, or collaborative agreements to mitigate risks.

6. What Advanced Search Techniques are used for Complex Chemical or Pharmaceutical Patentability Searches?

Chemical and pharmaceutical patents often involve highly specialized technologies, and patentability searches in these areas require advanced techniques to identify the nuances of molecular structures or chemical compositions.

  • Chemical Structure Search: Databases like CAS (Chemical Abstracts Service) provide the ability to search based on chemical structures, rather than just keywords. These searches are essential when dealing with pharmaceutical compounds or biotech innovations where small molecular differences can make a significant impact on patentability.
  • Sequence Search: For biotechnology patents, sequence-based searching is employed, particularly for nucleic acids and proteins. This involves searching patent databases using genetic sequence data or protein sequences, which is far more precise than a traditional text-based search.
  • Bioinformatics Tools: Leveraging bioinformatics platforms that can analyze complex biological and chemical data in the context of patent claims is essential. This approach helps identify prior art based on molecular characteristics that may not be immediately obvious from patent texts alone. 

7. How Are Inventive Step and Non-Obviousness Evaluated in Patentability Searches?

Evaluating the inventive step (also known as non-obviousness) is one of the most critical aspects of a patentability search. The concept refers to whether the invention would have been obvious to someone skilled in the field at the time of filing, based on prior art.

  • Patent Examiner’s Perspective: Patent examiners typically apply a “problem-solution” approach to assess inventive steps. The search identifies prior art that addresses similar problems, and the examiner looks for the specific inventive leap made by the applicant. This assessment is highly subjective and can vary based on jurisdiction.
  • Search Strategy: During a patentability search, a nuanced approach is taken to identify whether the invention would have been obvious, given the prior art. This includes assessing whether the combination of existing patents or technologies would have led to the claimed invention.
  • Complex Fields: In areas like AI, machine learning, or biotechnology, evaluating inventive steps becomes more difficult due to the rapid evolution of these technologies and the challenge of identifying clear distinctions in innovation. Expert opinions from industry professionals are often crucial in assessing the inventive step. 

8. How Are Patentability Searches Different for Emerging Technologies?

Emerging technologies such as quantum computing, blockchain, and artificial intelligence present unique challenges for patentability searches:

  • Rapid Innovation Cycles: These fields evolve quickly, and patent landscapes may shift dramatically within a few years. A patentability search in such sectors requires up-to-date, real-time data from cutting-edge research publications and ongoing patent filings.
  • Novel Concepts: Emerging technologies often deal with concepts that are abstract or theoretical in nature, making it harder to identify equivalent prior art in traditional patent databases. Using non-patent literature (scientific journals, white papers, research reports) becomes more critical to understand the technology landscape.
  • Cross-Disciplinary Searches: Many emerging technologies are interdisciplinary (e.g., combining physics, computer science, and engineering), so the search strategy must span across various technical fields. These searches require expertise in multiple disciplines to ensure comprehensive coverage. 

9. How Does a Patentability Search Handle the Subject Matter Eligibility of an Invention?

Subject matter eligibility refers to whether an invention falls within the categories that can be patented, such as machines, manufactures, compositions of matter, and processes. 

The requirements for subject matter eligibility vary by jurisdiction, with some areas like the U.S. using the Alice/Mayo test for abstract ideas and software-related inventions.

  • Search Focus: When conducting a patentability search, patentability assessors will not only look for novelty and inventive step but also check whether the invention’s subject matter fits the legal framework for patent eligibility in the relevant jurisdiction.
  • Challenges: Particularly for abstract innovations like software algorithms or business methods, it can be challenging to determine eligibility based solely on prior art. The search may include looking for similar patent claims, rejections, or legal precedents to understand how similar inventions were evaluated for eligibility.
  • Global Variations: Different patent offices (e.g., USPTO, EPO, JPO) may have differing standards for subject matter eligibility, particularly concerning fields like biotechnology and software, which necessitate region-specific search strategies. 

10. What Are the Limitations of a Patentability Search?

While patentability searches are valuable tools, they are not foolproof. There are several limitations inherent in the process:

  • Scope of Search: A search can only be as thorough as the databases used. If relevant patents or publications are not indexed in commonly used patent databases, they could be missed.
  • Language Barriers: Many patents and scientific papers are published in different languages. Non-English documents, particularly those from regions like Japan, China, or Russia, might be excluded from the search or require specialized translation tools for effective review.
  • Incomplete Databases: Patent databases are updated regularly, but they may not always reflect the most recent filings or publications. This gap can pose a risk in fast-developing fields.
  • Human Error and Interpretation: Patent searches often rely on human judgment to interpret ambiguous or complex claims. Even with advanced tools, interpreting patents and classifying prior art requires significant expertise.

Despite these limitations, a well-conducted patentability search provides a highly informative preliminary assessment of an invention’s chances of being patented.

11. What Impact Does Patent Jurisdiction Have on a Patentability Search?

Patentability standards vary significantly across jurisdictions. As patents are territorial in nature, what qualifies as patentable in one jurisdiction may not meet the standards in another.

  • USPTO vs EPO: The USPTO focuses heavily on the practical utility of an invention, whereas the EPO requires a clearer demonstration of inventive step and non-obviousness. During a patentability search, different search strategies are adopted based on the jurisdiction of interest.
  • Asia-Pacific Regions: Countries like China, Japan, and South Korea have their own nuances in patent law. For instance, the JPO (Japanese Patent Office) places more emphasis on industrial applicability, which could be a determining factor for patentability in the pharmaceutical or mechanical fields.
  • Global Patent Filings (PCT): With the rise of global patent filings through PCT (Patent Cooperation Treaty), the search may need to consider multiple jurisdictions, especially for internationally focused inventions, to ensure thorough coverage of potential prior art from multiple patent offices. 

12. How Does Prior Art Accessibility Affect Patentability Searches?

The accessibility of prior art plays a critical role in conducting a patentability search. In many cases, prior art might be published but not easily accessible due to paywalls, outdated databases, or geographical limitations.

  • Publicly Accessible vs Paywalled Content: Some scientific journals or patent publications are behind paywalls, limiting access to comprehensive prior art databases. In such cases, patent professionals may have to rely on subscription-based services or industry reports, which can increase the search cost.
  • Patent Office Databases: Databases like Espacenet or WIPO are highly useful for international patent searches, but their coverage can still be limited when compared to specialized databases for niche technologies or emerging fields.
  • Non-Patent Literature (NPL): NPL can be especially difficult to obtain, as it includes unpublished works or proprietary research that might be inaccessible. In such cases, a more manual approach to obtaining research papers or technical documentation may be necessary. 

13. How Do Patentability Searches Handle Multiple Versions of the Same Invention?

In many cases, an invention is filed under multiple applications or undergoes changes during the patent process, such as continuations, divisional filings, or continuation-in-part (CIP) applications. Handling multiple versions requires special attention:

  • Tracking Changes: Patentability searches need to evaluate how claims in different versions of the same invention might impact novelty or inventive step. For example, if an applicant files a CIP application, the search must review the claims of the original and new filings for differences in novelty.
  • Patent Families: Searching patent families is key, as inventions often have multiple filings in different jurisdictions. A thorough search identifies the broader patent family and the relationships between different claims to ensure no relevant prior art is missed.
  • Impact of Amendments: During prosecution, applicants often amend claims, which can significantly alter the scope of patentability. Searchers must revisit previous filings and amendments to assess how the scope of prior art might change as claims are modified. 

14. What Are the Risks of Not Conducting a Patentability Search?

Skipping the patentability search can expose inventors and businesses to significant risks:

  • Unnecessary Costs: Without a search, inventors may unknowingly file patents that are likely to be rejected, resulting in wasted filing and legal costs.
  • Infringement Risks: A failure to identify existing patents could lead to infringement if the product or invention is launched without knowing its overlap with prior patents. This could result in costly litigation or forced licensing agreements.
  • Time Delays: Without knowing the prior art landscape, inventors might face unexpected delays in the patent application process as they discover issues with novelty or inventive step after submission.

For startups, SMEs, or individual inventors, these risks can be financially devastating, especially when competing in high-tech industries. 

15. How Are Patentability Searches Handled for Hybrid or Cross-Disciplinary Technologies?

Hybrid or cross-disciplinary technologies combine elements from multiple fields, making it difficult to identify relevant prior art. Examples include:

  • AI and Healthcare: When AI techniques are applied to healthcare, patentability searches need to cover both fields—AI models and healthcare innovations—requiring expertise in both areas.
  • Chemistry and Electronics: Inventions that blend chemistry (e.g., new materials) with electronics (e.g., semiconductors) require a combined search strategy covering both domains.
  • Searching Multiple Disciplines: Patentability searches for hybrid technologies involve multi-faceted search strategies. Patent professionals must access databases and resources from both technical domains to ensure comprehensive coverage.

Advanced search tools like AI-driven algorithms and cross-domain databases play a significant role in uncovering potential prior art in these complex technological areas.

III. Conclusion

Patentability searches are crucial in ensuring an invention’s novelty and inventive step, safeguarding against potential legal and financial risks. By identifying relevant prior art, these searches help inventors, companies, and legal teams navigate the patent application process with greater confidence.

As technologies evolve, so do the methods and tools used in patentability searches, making it essential to stay updated on the latest trends and search strategies. Properly conducted, a patentability search offers invaluable insights, optimizing the chances of securing a strong, enforceable patent.

About TTC

At TT Consultants, we're a premier provider of custom intellectual property (IP), technology intelligence, business research, and innovation support. Our approach blends AI and Large Language Model (LLM) tools with human expertise, delivering unmatched solutions.

Our team includes skilled IP experts, tech consultants, former USPTO examiners, European patent attorneys, and more. We cater to Fortune 500 companies, innovators, law firms, universities, and financial institutions.

Services:

Choose TT Consultants for tailored, top-quality solutions that redefine intellectual property management.

Contact Us

Talk To Our Expert

Contact us now to schedule a consultation and start shaping your patent invalidation strategy with precision and foresight. 

Share Article
TOP

Request a Call Back!

Thank you for your interest in TT Consultants. Please fill out the form and we will contact you shortly

    popup

    UNLOCK THE POWER

    Of Your Ideas

    Elevate Your Patent Knowledge
    Exclusive Insights Await in Our Newsletter

      Request a Call Back!

      Thank you for your interest in TT Consultants. Please fill out the form and we will contact you shortly