Notice of Pre-AIA or AIA Status
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
Claim Rejections - 35 USC §101
1. 35 U.S.C. 101 reads as follows:
Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title.
2. Claims 1, 3-5, 7-18 and 20-22 are rejected under 35 U.S.C. 101 because the claimed invention is directed to non-statutory subject matter.
Subject Matter Eligibility Standard
3. The examiner contends that, under the judicial exceptions enumerated in the 2019 PEG, to determine the patent-eligibility of an application, a two- part analysis has to be conducted.
Part 1: it must be determined whether the claim is directed to one of the four statutory categories of invention, i.e., process, machine, manufacture, or composition of matter.
Part 2A: Prong 1: (1) Determine if the claims are directed to an abstract idea or one of the judicial exceptions. Examples of abstract ideas referenced in Alice Corp. include:
1. Certain method of organizing human activity such as Fundamental Economic Practices, Commercial and Legal Interactions, or Managing Personal Behavior or Relationships or Interactions Between People.
2. A mental process.
3. Mathematical relationships/formulas.
Part 2A: Prong 2: determine if the claim as a whole integrates the judicial exception into a practical application.
Part 2B: determine if the claim provides an inventive concept.
Analysis
4. Under Step 1 of the analysis, it is found that the claim indeed recites a series of steps and therefore, is a process - one of the statutory categories.
Under Step 2A (Prong 1), using claim 1 as the representative claim, it is determined that apart from generic hardware and extra-solution activities discussed in Step 2A, Prong 2 below, the claim as a whole recites a method of organizing human activity and a mental process. For instance, the claim language “predicting future expenses; identify text on the check of each transaction…; determine based on the associated expense frequency that the first customer will be charged the recurring expense within a predetermined time period; generate an expense warning associated with the recurring expense; receive training data comprising one or more training transactions with predetermined level of similarity between respective transactions; retrieve transaction data for a first plurality of transactions between a first customer and a first merchant…; determining whether the first merchant exceeds a threshold of similarity to a first training merchant of the plurality of training merchants by comparing the transaction data to the one or more training transactions; associating at least a first training annotation with the first merchant when the first merchant exceeds the threshold of similarity to the first training merchant; identify a recurring expense and an associated expense frequency based on the identified text and the one or more generated annotations by: comparing the identified text associated with each transaction to the one or more training transactions; determining a second level of similarity between first respective transactions of the first customer in the one or more past transactions and the one or more past recurring expenses of the second customer; and in response to determining the first level of similarity between the first respective transactions is above a predetermined threshold, identifying the first respective transactions as relate to the recurring expense; determined, based on the associated expense frequency, that the first customer will be charged the recurring expense within a predetermined time period; generating a first graphical user interface including a first suggestion for the first customer to annotate the transaction data with one or more training annotations associated with the first training merchant; retrieve transaction data for a first plurality of transactions between a first customer and a first merchant…and retrieving one or more past transactions and one or more past recurring expenses associated with the one or more generated annotations for a second customer” is a fundamental economic practice. Fundamental economic practices fall into the category of certain methods of organizing human activity. In addition, the claim language “predicting future expenses; identify text on the check of each transaction…; automatically generate,…, one or more annotations associated with each check based on the identified text; determining whether the first merchant exceeds a threshold of similarity to a first training merchant of the plurality of training merchants by comparing the transaction data to the one or more training transactions; associating at least a first training annotation with the first merchant when the first merchant exceeds the threshold of similarity to the first training merchant; identify a recurring expense and an associated expense frequency based on the identified text and the one or more generated annotations by: comparing the identified text associated with each transaction to the one or more training transactions; determining a second level of similarity between first respective transactions of the first customer in the one or more past transactions and the one or more past recurring expenses of the second customer; and in response to determining the first level of similarity between the first respective transactions is above a predetermined threshold, identifying the first respective transactions as relate to the recurring expense; determined, based on the associated expense frequency, that the first customer will be charged the recurring expense within a predetermined time period, and generate an expense warning associated with the recurring expense; receive training data comprising one or more training transactions with predetermined level of similarity between respective transactions, and one or more training annotations associated with a plurality of training merchants; retrieve transaction data for a first plurality of transactions between a first customer and a first merchant…; and retrieving one or more past transactions and one or more past recurring expenses associated with the one or more generated annotations for a second customer” are steps that can be performed in the human mind. Any steps that can be performed in the human mind falls into the category of mental process. Thus, the claim recites a judicial exception, i.e., an abstract idea.
Under Step 2A (Prong 2), The examiner further contends that the claim recites a combination of additional elements including “…storing a plurality of check images associated with a plurality of transactions between a plurality of customers and a plurality of merchants; one or more processors, transaction database and memory.” For instance, the limitation “…storing a plurality of check images associated with a plurality of transactions between a plurality of customers and a plurality of merchants; receive training data comprising one or more training transactions with predetermined level of similarity between respective transactions; retrieve transaction data for a first plurality of transactions between a first customer and a first merchant…” is a mere data gathering step considered to be insignificant extra-solution activities. See In re Bilski, 545 F.3d at 963 (characterizing data gathering steps as insignificant extra-solution activity). In other words, this additional element, considered in the context of claim 1 as a whole, does not integrate the abstract idea into a practical application because it simply recites the step of storing data using a generic computer system. Further, the recited processors, transaction database and memory are simply being applied to carry out the abstract idea. These recited steps merely describe an intangible property of data that does not affect the examiner’s characterization of the additional limitations as insignificant extra-solution activities. Lastly, the limitation “wherein the machine learning model is trained to generate the one or more annotations based on the one or more training annotations and on a first level of similarity between the plurality of training merchants and the first merchants” is merely recited to further narrow the scope of the abstract idea. Thus, it is determined that claim 1 is not directed to a specific asserted improvement in computer technology or otherwise integrated into a practical application and thus is directed to a judicial exception.
Under Step 2B, it is determined that, taken alone, the additional elements in the claim amounts to no more than mere instructions to apply the exception using a generic computer processor— that is, mere instructions to apply a generic computer to the abstract idea. The only hardware or additional elements beyond the abstract idea of claim 1 are the generically recited “memory,” transaction database” and “processors.” The applicant does not point to sufficient evidence that any of these components are anything other than well-understood, routine, and conventional, hardware components or systems being used in their ordinary manner. Further, the filed specification supports the determination that these components are well-understood, routine and conventional: substantiates this, for instance at paras [0081-0082]. Thus, applying an exception using a generic computer cannot integrate a judicial exception into a practical application or provide an inventive concept. And looking at the limitations as an ordered combination of elements add nothing that is not already present when looking at the elements taken individually.
The examiner contends that the ‘novelty’ of any element or steps in a process, or even of the process itself, is of no relevance in determining whether the subject matter of a claim falls within the § 101 categories of possibly patentable subject matter.” Diamond v. Diehr, 450 U.S. 175, 188— 89 (1981).” A novel and nonobvious claim directed to a purely abstract idea is, nonetheless, patent ineligible. See Mayo, 566 U.S. at 90.” Specifically, an improvement to an abstract idea cannot be a basis for determining that the claim recites significantly more than an abstract idea. Furthermore, relying on a “processor” to “perform routine tasks more quickly or more accurately is insufficient to render a claim patent eligible.” OJP Techs., Inc. v. Amazon.com, Inc., 7788 F.3d 1359, 1363 (Fed. Cir. 2015). Accordingly, the examiner concludes that the claim does not recite additional elements that amount to significantly more than the judicial exception within the meaning of the 2019 Guidance. Note: The analysis above applies to all statutory categories of invention. As such, the independent claims otherwise styled as a computer-readable medium encoded to perform specific tasks, machine or manufacture, for example, would be subject to the same analysis. Furthermore, the limitations in the dependent claims are thus subject to the same analysis as in claim 1 and are rejected using the same rationale as in claim 1 above. For instance, independent claim 8 recites similar limitations to those in independent claim 1 and are thus subject to the same analysis as in claim 1 and are rejected using the same rationale as in claim 1 above. In addition, claim 14 recites additional limitations “identify first transaction data for a first transaction between a first customer and a first merchant and a second transaction between the first customer and the first merchant, wherein the first transaction data comprises a first image of a first check for the first transaction and a second image of a second check for the second transaction; identify second transaction data for a third transaction between a second customer and the first merchant and a fourth transaction between the second customer and the first merchant, wherein the second transaction data comprises a third image of a third check for the third transaction and a fourth image of a fourth check for the fourth transaction; identify text on each check based on optical character recognition of a respective image of a respective check; associating the crowdsource annotations with the first merchants, wherein the crowdsourced annotations are shared among, and contributed by, a plurality of users; determine that the first transaction data exceeds a threshold of similarity to the second transaction data by comparing the identified text associated with the first transaction data to the identified text associated with the second transaction data; identify a first recurring expense and a first associated expense frequency for the first customer based on first transaction data; responsive to (i) the first transaction data exceeding the threshold of similarity to the second transaction data and (ii) the first recurring expense and first associated expense frequency being identified for the first customer, determine a second recurring expense and second associated expense frequency for the second customer; generate a first graphical user interface (GUI) comprising a suggestion indicating a new check be generated for the second recurring expense” but these additional elements are nothing but the automation of mental tasks. See Benson, Bancorp and Cyberphone. Also see Electric Power, 830 F.3d at 1354 (“[W]e have treated analyzing information by steps people go through in their minds, or by mathematical algorithms, without more, as essentially mental processes”). Also the limitation “receive a response from the first user device via the GUI” when considered as a whole, is a mere data gathering step considered to be an insignificant extra-solution activity. See In re Bilski, 545 F.3d at 963 (characterizing data gathering steps as insignificant extra-solution activity). Further, the limitations “transmit the first GUI to a first user device; and responsive to the response being an acceptance of the generation of the new check, transmit instructions to a financial institution system to generate the new check for payment of the financial institution system to generate the new check for payment of the second recurring expense” are directed to insignificant post-solution activities of sending data from one system to another (see Apple, Inc. v. Ameranth, Inc., 842 F.3d 1229, 1241-42 (Fed. Cir. 2016). Further still, dependent claims 2-3, 10-11, 15-16 do not recite additional elements but merely further narrow the scope of the abstract idea. Claims 4-5, 7, 9, 12-13 and 17-22 do recite additional elements, but these additional elements are nothing but the automation of mental tasks. See Benson, Bancorp and Cyberphone. Also see Electric Power, 830 F.3d at 1354 (“[W]e have treated analyzing information by steps people go through in their minds, or by mathematical algorithms, without more, as essentially mental processes”).
Response to Arguments
Applicant's arguments filed on 10/23/25 have been fully considered but they are not persuasive.
In response to applicant’s argument that the claims do not recite a judicial exception and are integrated into a practical application, the examiner disagrees. The examiner contends that the claim recites a combination of additional elements including “…storing a plurality of check images associated with a plurality of transactions between a plurality of customers and a plurality of merchants; one or more processors, transaction database and memory.” For instance, the limitation “…storing a plurality of check images associated with a plurality of transactions between a plurality of customers and a plurality of merchants; receive training data comprising one or more training transactions with predetermined level of similarity between respective transactions; retrieve transaction data for a first plurality of transactions between a first customer and a first merchant…” is a mere data gathering step considered to be insignificant extra-solution activities. See In re Bilski, 545 F.3d at 963 (characterizing data gathering steps as insignificant extra-solution activity). In other words, this additional element, considered in the context of claim 1 as a whole, does not integrate the abstract idea into a practical application because it simply recites the step of storing data using a generic computer system. Further, the recited processors, transaction database and memory are simply being applied to carry out the abstract idea. These recited steps merely describe an intangible property of data that does not affect the examiner’s characterization of the additional limitations as insignificant extra-solution activities. Lastly, the limitation “wherein the machine learning model is trained to generate the one or more annotations based on the one or more training annotations and on a first level of similarity between the plurality of training merchants and the first merchants” is merely recited to further narrow the scope of the abstract idea. Thus, it is determined that claim 1 is not directed to a specific asserted improvement in computer technology or otherwise integrated into a practical application and thus is directed to a judicial exception.
Applicant's citation of Enfish is unpersuasive because the claims at issue in Enfish are readily distinguishable over the instant claims. In Enfish, the claims were held to be patent-eligible because the claimed solution was directed to improvements in computer technology with database software designed as a "self-referential" table. The patent claims here do not address improvements in computer technology with database software designed as a "self-referential" table, so Enfish is not applicable. In contrast, the instant claims also provide a generically computer-implemented solution to a communication/business-related or economic problem.
In response to applicant’s argument that the claims do not fall under the groupings of abstract idea enumerated in the 2019 revised guidelines, the examiner disagrees. The examiner contends that the claim as a whole recites a method of organizing human activity and a mental process. For instance, the claim language “predicting future expenses; identify text on the check of each transaction…; determine based on the associated expense frequency that the first customer will be charged the recurring expense within a predetermined time period; generate an expense warning associated with the recurring expense; receive training data comprising one or more training transactions with predetermined level of similarity between respective transactions; retrieve transaction data for a first plurality of transactions between a first customer and a first merchant…; determining whether the first merchant exceeds a threshold of similarity to a first training merchant of the plurality of training merchants by comparing the transaction data to the one or more training transactions; associating at least a first training annotation with the first merchant when the first merchant exceeds the threshold of similarity to the first training merchant; identify a recurring expense and an associated expense frequency based on the identified text and the one or more generated annotations by: comparing the identified text associated with each transaction to the one or more training transactions; determining a second level of similarity between first respective transactions of the first customer in the one or more past transactions and the one or more past recurring expenses of the second customer; and in response to determining the first level of similarity between the first respective transactions is above a predetermined threshold, identifying the first respective transactions as relate to the recurring expense; determined, based on the associated expense frequency, that the first customer will be charged the recurring expense within a predetermined time period; generating a first graphical user interface including a first suggestion for the first customer to annotate the transaction data with one or more training annotations associated with the first training merchant; retrieve transaction data for a first plurality of transactions between a first customer and a first merchant…and retrieving one or more past transactions and one or more past recurring expenses associated with the one or more generated annotations for a second customer” is a fundamental economic practice. Fundamental economic practices fall into the category of certain methods of organizing human activity. In addition, the claim language “predicting future expenses; identify text on the check of each transaction…; automatically generate,…, one or more annotations associated with each check based on the identified text; determining whether the first merchant exceeds a threshold of similarity to a first training merchant of the plurality of training merchants by comparing the transaction data to the one or more training transactions; associating at least a first training annotation with the first merchant when the first merchant exceeds the threshold of similarity to the first training merchant; identify a recurring expense and an associated expense frequency based on the identified text and the one or more generated annotations by: comparing the identified text associated with each transaction to the one or more training transactions; determining a second level of similarity between first respective transactions of the first customer in the one or more past transactions and the one or more past recurring expenses of the second customer; and in response to determining the first level of similarity between the first respective transactions is above a predetermined threshold, identifying the first respective transactions as relate to the recurring expense; determined, based on the associated expense frequency, that the first customer will be charged the recurring expense within a predetermined time period, and generate an expense warning associated with the recurring expense; receive training data comprising one or more training transactions with predetermined level of similarity between respective transactions, and one or more training annotations associated with a plurality of training merchants; retrieve transaction data for a first plurality of transactions between a first customer and a first merchant…; and retrieving one or more past transactions and one or more past recurring expenses associated with the one or more generated annotations for a second customer” are steps that can be performed in the human mind. Any steps that can be performed in the human mind falls into the category of mental process. Thus, the claim recites a judicial exception, i.e., an abstract idea.
The examiner contends that in CoreWireless, the claims are directed to an improved user interface for computing devices. The claims recite that the summary window “is displayed while the one or more applications are in an un-launched state,” a requirement that the device applications exist in a particular state. These limitations disclose a specific manner of displaying a limited set of information to the user, rather than using conventional user interface methods to display a generic index on a computer. This is not the case with the pending claims where the graphical user interface (GUI) is adapted to simply display data; there is no improvement in the existing graphical user interface device.
In Finjan, it is held that the claims are directed to a behavior-based virus scanning which employs a new kind of file that enables a computer security system to do things it could not do before including “accumulating and utilizing newly available, behavior-based information about potential threats.” 2018 WL 341882 at *4 (Fed. Cir. Jan. 10, 2018). The claimed behavior-based scans, in contrast to prior art systems which searched for matching code, enabled more “nuanced virus filtering” in analyzing whether “a downloadable’s code . . . performs potentially dangerous or unwanted operations.” Id. at *3. Finjan’s claims, compared to the present claims, constitute non-abstract improvements in functionality, rather than the abstract idea of computer security. The claims in Finjan are not similar to the claims in the pending application.
Regarding applicant’s citation of Ex Parte Fanaru, referencing the PTAB decision/conclusion in that case, the examiner concludes that that case is not precedential and not pertinent to the pending claims.
In response to applicant’s argument that the claims are patent eligible because they recite a practical application, the examiner disagrees. The examiner contends that the claim recites a combination of additional elements including “…storing a plurality of check images associated with a plurality of transactions between a plurality of customers and a plurality of merchants; one or more processors, transaction database and memory.” For instance, the limitation “…storing a plurality of check images associated with a plurality of transactions between a plurality of customers and a plurality of merchants; receive training data comprising one or more training transactions with predetermined level of similarity between respective transactions; retrieve transaction data for a first plurality of transactions between a first customer and a first merchant…” is a mere data gathering step considered to be insignificant extra-solution activities. See In re Bilski, 545 F.3d at 963 (characterizing data gathering steps as insignificant extra-solution activity). In other words, this additional element, considered in the context of claim 1 as a whole, does not integrate the abstract idea into a practical application because it simply recites the step of storing data using a generic computer system. Further, the recited processors, transaction database and memory are simply being applied to carry out the abstract idea. These recited steps merely describe an intangible property of data that does not affect the examiner’s characterization of the additional limitations as insignificant extra-solution activities. Lastly, the limitation “wherein the machine learning model is trained to generate the one or more annotations based on the one or more training annotations and on a first level of similarity between the plurality of training merchants and the first merchants” is merely recited to further narrow the scope of the abstract idea. Thus, it is determined that claim 1 is not directed to a specific asserted improvement in computer technology or otherwise integrated into a practical application and thus is directed to a judicial exception
Applicant's citation of McRo is unpersuasive because the claims at issue in McRo are readily distinguishable over the instant claims. The claims in McRO were directed to the creation of something physical—namely, the display of “lip synchronization and facial expressions” of animated characters on screens for viewing by human eyes. Id. at 1313. The claimed improvement was to how the physical display operated (to produce better quality images), unlike (what is present here) a claimed electronic device with no improved display mechanism. The claims in McRO thus were not abstract in the sense that is dispositive here - they had the specificity required to transform a claim from one claiming only a result to one claiming a way of achieving it. In McRo, the claimed rules transform a traditionally subjective process performed by humans into a mathematically automated process executed on computers. The human process and computer process in McRO produced a similar result but do so in fundamentally different ways. It is the incorporation of the claimed rules, not the use of the computer that improves the existing technological process by allowing the automation of further tasks. In contrast, the present claims do not provide improved rules and “merely implement an old practice in a new environment.
In response to applicant’s argument that the claims recite a combination of additional elements that is significantly more than an abstract idea, the examiner disagrees. It is determined that, taken alone, the additional elements in the claim amounts to no more than mere instructions to apply the exception using a generic computer processor— that is, mere instructions to apply a generic computer to the abstract idea. The only hardware or additional elements beyond the abstract idea of claim 1 are the generically recited “memory,” transaction database” and “processors.” The applicant does not point to sufficient evidence that any of these components are anything other than well-understood, routine, and conventional, hardware components or systems being used in their ordinary manner. Further, the filed specification supports the determination that these components are well-understood, routine and conventional: substantiates this, for instance at paras [0081-0082]. Thus, applying an exception using a generic computer cannot integrate a judicial exception into a practical application or provide an inventive concept. And looking at the limitations as an ordered combination of elements add nothing that is not already present when looking at the elements taken individually.
The examiner contends that the ‘novelty’ of any element or steps in a process, or even of the process itself, is of no relevance in determining whether the subject matter of a claim falls within the § 101 categories of possibly patentable subject matter.” Diamond v. Diehr, 450 U.S. 175, 188— 89 (1981).” A novel and nonobvious claim directed to a purely abstract idea is, nonetheless, patent ineligible. See Mayo, 566 U.S. at 90.” Specifically, an improvement to an abstract idea cannot be a basis for determining that the claim recites significantly more than an abstract idea. Furthermore, relying on a “processor” to “perform routine tasks more quickly or more accurately is insufficient to render a claim patent eligible.” OJP Techs., Inc. v. Amazon.com, Inc., 7788 F.3d 1359, 1363 (Fed. Cir. 2015). Accordingly, the examiner concludes that the claim does not recite additional elements that amount to significantly more than the judicial exception within the meaning of the 2019 Guidance.
Regarding the argument that the final office action violates Berkheimer, the examiner did not rely upon 2106.05(d) considerations. Instead the examiner stated the additional elements of the claim were mere instructions to implement an abstract idea or other exception on a computer. As explained by the Supreme Court, in order to make a claim directed to a judicial exception patent-eligible, the additional element or combination of elements must do "‘more than simply stat[e] the [judicial exception] while adding the words ‘apply it’". Alice Corp. v. CLS Bank, 573 U.S. 208, 221, 110 USPQ2d 1976, 1982-83 (2014) (quoting Mayo Collaborative Servs. V. Prometheus Labs., Inc., 566 U.S. 66, 72, 101 USPQ2d 1961, 1965). Thus, for example, claims that amount to nothing more than an instruction to apply the abstract idea using a generic computer do not render an abstract idea eligible. Alice Corp., 573 U.S. at 223, 110 USPQ2d at 1983. See also 573 U.S. at 224, 110 USPQ2d at 1984 (warning against a § 101 analysis that turns on "the draftsman’s art").
Conclusion
THIS ACTION IS MADE FINAL. Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a).
A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any nonprovisional extension fee (37 CFR 1.17(a)) pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action.
Any inquiry concerning this communication or earlier communications from the examiner should be directed to OJO O OYEBISI whose telephone number is (571)272-8298. The examiner can normally be reached on Monday-Friday, 9am-7pm. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Christine Behncke can be reached at 571-272-8103. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see https://ppair-my.uspto.gov/pair/PrivatePair. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative or access to the automated information system, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000.
/OJO O OYEBISI/Primary Examiner, Art Unit 3695