Prosecution Insights
Last updated: July 17, 2026
Application No. 18/623,797

SYSTEMS AND METHODS FOR AUTONOMOUS VEHICLE SELECTION AND ROUTING USING ARTIFICIAL INTELLIGENCE

Final Rejection §101
Filed
Apr 01, 2024
Priority
Jun 27, 2023 — provisional 63/510,593
Examiner
JOSEPH, TONYA S
Art Unit
3628
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
State Farm Mutual Automobile Insurance Company
OA Round
2 (Final)
24%
Grant Probability
At Risk
3-4
OA Rounds
2y 2m
Est. Remaining
44%
With Interview

Examiner Intelligence

Grants only 24% of cases
24%
Career Allowance Rate
142 granted / 595 resolved
-28.1% vs TC avg
Strong +20% interview lift
Without
With
+19.7%
Interview Lift
resolved cases with interview
Typical timeline
4y 5m
Avg Prosecution
34 currently pending
Career history
645
Total Applications
across all art units

Statute-Specific Performance

§101
27.7%
-12.3% vs TC avg
§103
62.2%
+22.2% vs TC avg
§102
4.2%
-35.8% vs TC avg
§112
3.6%
-36.4% vs TC avg
Black line = Tech Center average estimate • Based on career data from 595 resolved cases

Office Action

§101
DETAILED ACTION 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 . Response to Arguments Applicant's arguments filed 03/10/2026 have been fully considered but they are not persuasive. Applicant argues that the claims are not directed to an abstract idea. The Examiner disagrees. The claims are directed to users placing request for transportation and a system make a selection for those requests. This is lainly certain methods of organizing human activity. Applicant further argues that the claims recite significantly more than the abstract tidea dn that there is a practical application. The Examiner disagrees. Any supposed improvement is seen through the use of the additional elements, in this instance, AI tools. The AI model is being used as a tool to perform the recited abstract steps. The claims do not include additional elements individually or in an ordered combination that are sufficient to amount to significantly more than the judicial exception. Integration into a practical application requires the additional elements to apply, rely on, or use the judicial exception in a manner that imposes a meaningful limit on the judicial exception, such that the claim is more than a drafting effort designed to monopolize the exception. Applicant’s claims are deficient in this element and do not explicitly narrow the environment to one that does not require human intervention to perform the transformative steps. Accordingly, Applicant’s arguments are not persuasive and the rejections are maintained. Claim Rejections - 35 USC § 101 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. Claims 1-21 are rejected under 35 U.S.C. 101 because the claimed invention is directed to non-statutory subject matter because the claimed invention is directed to a judicial exception (i.e., a law of nature, a natural phenomenon, or an abstract idea) without significantly more. MPEP 2106 Step 2A-Prong 1 The claims recite: train a model using historical transportation data associated with a plurality of historical trips, the historical transportation data including at least (a) historical routes associated with the plurality of historical trips, (b) AVs associated with the plurality of historical trips, and (c) historical feedback values associated with the plurality of historical trips; receive, from the user, a transportation request including an origin, a destination, and at least one good or person to be transported; select, by inputting the transportation request into the model, an AV of a plurality of a plurality of AVs in communication with the, wherein trained using historical transportation records including historical transportation data associated with historical transportation; selected AV is selected by the model based at least in part upon a predicted feedback value associated with the selected AV completing the transportation request; generate, by inputting the transportation request using into the Al model, a route for the selected AV, wherein the generated route is generated by the Al model based at least in part upon the predicted feedback value; and transmit route data to the selected AV, wherein the route data causes the selected AV to travel the generated route. generate, based upon the transportation request, a route and transmit route data to the selected, wherein the route data causes the selected to travel the generated route. The claims falls into the abstract idea groupings of (b) Certain Methods Of Organizing Human Activity ** fundamental economic principles or practices (including hedging, insurance, mitigating risk) commercial or legal interactions (including agreements in the form of contracts; legal obligations; advertising, marketing or sales activities or behaviors; business relations) managing personal behavior or relationships or interactions between people (including social activities, teaching, and following rules or instructions)** The limitations under their broadest reasonable interpretation, covers performance of marketing or sales activities or behaviors; but for the recitation of generic computer components. That is, other than recited, “non-transitory computer readable medium, user device, AI model, server computing device, processor, autonomous vehicle”, nothing in the claim element precludes the step from practically being certain methods of organizing human activity. Accordingly, the claims recite an abstract idea. MPEP 2106 Step 2A-Prong 2 The recited limitations are not indicative of integration into a practical application. In particular, the claims only recite the following additional elements, processor, AV, AI model, server computing device. These additional elements are recited at a high-level of generality such that in conjunction with the abstract limitations, they amount to no more than: Adding the words “apply it” (or an equivalent) with the judicial exception, or mere instructions to implement an abstract idea on a computer, or merely uses a computer as a tool to perform an abstract idea - see MPEP 2106.05(f); - (non-transitory computer readable medium, user device, AI model, server computing device, processor) mere data gathering/post solution activity in conjunction with a law of nature or abstract idea such as adding insignificant extra solution activity to the judicial exception see MPEP 2106.05 (g) ,-(autonomous vehicle) The claims do not include additional elements individually or in an ordered combination that are sufficient to amount to significantly more than the judicial exception. Integration into a practical application requires the additional element(s) to apply, rely on, or use the judicial exception in a manner that imposes a meaningful limit on the judicial exception, such that the claim is more than a drafting effort designed to monopolize the exception. This is not the case in the instant application. Further, as discussed above with respect to integration of the abstract idea into a practical application, the additional elements amount to no more than: mere instructions to apply the exception using a generic computer component; mere data gathering/post solution activity. MPEP 2106 Step 2B Eligibility requires that the claim recites additional elements that amount to an inventive concept (aka “significantly more”) than the recited judicial exception. As discussed above, this is where the instant application falls short. The claims do not include additional elements individually or in an ordered combination that are sufficient to amount to significantly more than the judicial exception. Transmitting a route to driven by an autonomous vehicle is recited at a high level of generality and amounts to no more than insignificant extra solution activity much like In re Brown, 645 Fed. App'x 1014, 1016-1017 (Fed. Cir. 2016) (non-precedential) and MPEP 2106.05 (g). Dependent Claims Step 2A: The limitations of the dependent claims but for those addressed below merely set forth further refinements of the abstract idea without changing the analysis already presented (that is, they further limit the organizing of human activities at step 2A — Prong One without adding any new additional elements other than those already analyzed above with respect to the independent claims at 2A — Prong Two; 2 describes an AV, 3-natural language input and AI model; 4-AI model; 5-AV and processor; 6-processor; 7-processor; 8-processor; 9-processor; 10-server computing device and processor and AV, but these additional elements do not remedy the deficiencies. This analysis applies to the remaining analogous claims. Dependent Claims Step 2B: The dependent claims merely use the same general technological environment and instructions to implement the abstract idea as the independent claims without adding any new additional elements. Accordingly, they are not directed to significantly more than the exception itself, and are not eligible subject matter under § 101. The claims are not rejected by the prior art of record. 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 TONYA S JOSEPH whose telephone number is (571)270-1361. The examiner can normally be reached M-F 6:30-2:30, First Fridays Off. 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, Shannon Campbell can be reached at (571) 272-5587. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /TONYA JOSEPH/Primary Examiner, Art Unit 3628
Read full office action

Prosecution Timeline

Apr 01, 2024
Application Filed
Dec 11, 2025
Non-Final Rejection mailed — §101
Mar 04, 2026
Interview Requested
Mar 10, 2026
Response Filed
Apr 08, 2026
Final Rejection mailed — §101 (current)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

3-4
Expected OA Rounds
24%
Grant Probability
44%
With Interview (+19.7%)
4y 5m (~2y 2m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 595 resolved cases by this examiner. Grant probability derived from career allowance rate.

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