Showing posts with label PEDS. Show all posts
Showing posts with label PEDS. Show all posts

23 July 2017

The USPTO Art Groups That Are Patent Application Purgatory

Reaching HandsA very common question asked by patent applicants is ‘how long will it be until I receive a patent?’  The usual legalese answer to this is, of course, ‘it depends’.  But upon what does it depend?  Some of the factors are within an applicant’s control, such as whether they request examination at the earliest opportunity (in jurisdictions where a separate examination request is required), whether they request expedited/accelerated examination (where it is possible to do so), and how quickly they respond to office actions, pay required fees, and so forth.  But after taking all of this into account, there is still a great deal that is beyond the control of the applicant.

Additional factors that can delay grant of a patent include the backlog of applications in the relevant patent office, the nature of any objections raised by the examiner, and the difficulty of overcoming the objections – either due to their inherent merit, or to the determination of the examiner to maintain the objections in the face of the applicant’s best efforts to present amendments and persuasive arguments.  After all this, however, if the applicant perseveres and is looked upon kindly by the fates, a patent will eventually issue.  But how long after filing will that happen?

The US Patent and Trademark Office (USPTO) has a goal of reducing the average value of what it calls ‘Traditional Total Pendency’ (TTP) to 20 months by 2019.  The TTP is defined as the time between the patent application filing date (which is the date of national phase entry in the case of an international application under the Patent Cooperation Treaty) and ‘final disposition’, i.e. issued as a patent or abandoned.  According to data that can be viewed via the USPTO’s Data Visualisation Center Patents Dashboard, the TTP as of June 2017 is 24.7 months.  However, this number really does not tell the whole story for many applicants.

For one thing, this TTP metric does not take into account applications in which a Request for Continued Examination (RCE) has been filed.  An RCE is typically necessary where an applicant has not managed to secure allowance of an application following a second round of examination, but is not ready to give up and abandon the application.  In many technical fields, the filing of at least one RCE in the course of examination is extremely common.  When RCEs are taken into account, the TTP sits at around 32 months.

Furthermore, ‘average pendency’ characterises the complex process of examination, which occurs across applications in all fields of technology, using just a single statistic, which can be very misleading.  As I will show in this article, average pendency (inclusive of RCEs) varies from 22 months in the fastest examination group to more than 57 months in the slowest (and that is assuming that a patent ever issues at all).  Additionally, the distribution of application pendency varies enormously between different technology groups.  In the slowest group, over an eighth of all applications that ultimately issue as patents take more than eight years to do so.  If your application ends up in that particular cohort, it is of little comfort to know that the average pendency in the group is less than five years!

For rapid processing of your US patent applications, the best fields to be in include semiconductor device fabrication, vehicular technology, telecommunications, and pharmaceuticals.  The worst (perhaps unsurprisingly) include fintech and e-commerce, genetic technologies, and surgical methods and devices.

21 May 2017

Identifying Patent-Eligible Software Claims... Using Software

MatrixAs I have previously reported, the major and immediate impact of the US Supreme Court’s Alice decision in June 2014 was to reduce the rate of ‘business method’ patents issued by the US Patent and Trademarks Office (USPTO) by three-quarters, while having a negligible effect on ‘technical’ software-implemented inventions.  While the data in my earlier article ended in December 2015, I have now been able to update my results to the end of March 2017, as shown in the chart below.  There has been no change in the overall trend during the intervening 15 months, with ‘business method’ patent grants still running at around 50% of 2007 numbers, while technical software patents, and patents across all areas of technology, are issuing at rates nearly twice those of 2007.
Patent Grants (March 2017)
In a recent post on the Bilski Blog, US patent agent Mark Nowotarski has made similar observations about the impact of Alice on ‘business method’ patent grants, going on to analyse the characteristics of those patent claims are are still being allowed in the USPTO’s business method Art Units.  He has noted that it is commonly by including ‘physical limitations’ (e.g. reciting hardware such as ‘mobile devices/sales kiosks’ or ‘physical sensors’) and/or ‘software limitations’ (e.g. reciting technical functionality such as ‘graphics/ image processing’ or ‘cryptography/security’) that applicants have been able to overcome Alice-based subject-matter rejections.

This got me thinking.  If there are common forms of technical language that arise in patent-eligible claims, then might it be possible to train a machine-learning system to predict whether a particular claim is, or is not, likely to be patentable?

It turns out that this does indeed appear to be possible.  I built a machine-learning model using data published by the USPTO, including the claims of 24,462 recently-abandoned 4967 recently-allowed applications, all examined within ‘software’ and ‘business methods’ Art Units.  In cross-validation tests (i.e. using a portion of the known data for training, and the remainder to test model performance) I was able to achieve around 75% prediction accuracy.  In trials of a hand-picked ‘random’ sample of more recent patents and published applications, not in the training/test set, the model correctly classified all actually allowed claims (of four examples) as patentable.  It also classified the claims of four abandoned applications as unpatentable, and two published-but-rejected-and/or-amended claims as unpatentable.  In only one case did the model classify a claim that had been rejected on subject-matter grounds as likely-patentable.

The model may thus be capable, with a probability of success of over 70%, of determining whether or not a proposed claim to a computer-implemented invention includes sufficient technical content to overcome a subject-matter-based rejection, at least under the Alice test as it is applied by the USPTO.

17 April 2017

New USPTO Data Set Reveals Recent Trends in Software and Business Method Patent Grants and Filings

New DataThe US Patent and Trademarks Office (USPTO) has released a new public patent data service, which it calls the Patent Examination Data System (PEDS).  PEDS is intended to replace the PAIR Bulk Data (PBD) service, and has a very similar interface for filtering, viewing and downloading bulk US patent data, as well as an application programming interface (API) for live access.  Although PEDS is still under development, is missing some data fields that are present in PBD, and currently provides fewer filtering options than PBD, it is already ahead in a number of important respects. 

Firstly, where I have previously noted that the PBD set was incomplete in relation to patents granted in 2016, this problem seems to have been resolved in PEDS.  Secondly, PEDS includes the ‘transaction history’ for each application in the data set.  Readers familiar with the USPTO’s Patent Application Information Retrieval (PAIR) online system will be aware that the PAIR interface includes a ‘Transaction History’ tab that displays a list of all actions and events that have taken place on the file, along with their corresponding dates.  This information is now included in PEDS.  The USPTO has indicated that, in future, PEDS may include enhancements to search additional fields, additional data from tabs in Public PAIR, and the Image File Wrapper (IFW).

The availability of this new, and more complete, data set has enabled me to revisit the analysis of software and business method patents that I reported back in January, with the benefit of more than a year of additional data.  As a result, I have been able to observe how the trends in patent grants have progressed since the end of 2015.  In short, there has been no further change.  The rate of grant of patents assigned to software Art Units within the USPTO continues to track – and even slightly exceed – the overall rate of grants across all technologies, while business method patent grants remain in the doldrums, flat-lining at the rate to which they fell shortly after the US Supreme Court’s Alice decision in June 2014.

The additional data has also enabled me to look at trends in filing behaviour, which may be indicative of how applicants have responded to Alice and the USPTO’s subsequent changes in examination practice and guidance as applied to software and business method patent applications.  Interestingly, this data indicates that the rate of applicants filing for patents in relation to ‘business method’ inventions has been in steady decline since June 2014, but that there has been an equally steady increase in the rate of filing of applications for software inventions.

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