Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 17139533 | UPGRADING A SEQUENCE OF MICROSERVICES IN A CLOUD COMPUTING ENVIRONMENT | December 2020 | May 2022 | Allow | 17 | 1 | 0 | No | No |
| 17137466 | AUTOMATICALLY UPDATING DOCUMENTATION | December 2020 | May 2021 | Allow | 5 | 1 | 0 | No | No |
| 17256613 | AIR-CONDITIONING SYSTEM AND PROGRAM UPDATE METHOD OF AIR-CONDITIONING SYSTEM | December 2020 | September 2023 | Allow | 33 | 0 | 0 | No | No |
| 17125069 | ORGANIZING SOFTWARE PACKAGES BASED ON IDENTIFICATION OF UNIQUE ATTRIBUTES | December 2020 | May 2022 | Allow | 17 | 1 | 0 | No | No |
| 17123177 | PERFORMING TRANSLATIONS ON CHANGE REQUESTS | December 2020 | February 2022 | Allow | 14 | 0 | 0 | No | No |
| 17119279 | SYSTEMS AND METHODS FOR AUTOMATICALLY MODIFYING PIPELINED ENTERPRISE SOFTWARE | December 2020 | December 2021 | Allow | 12 | 0 | 0 | No | No |
| 17116993 | SYSTEMS AND METHODS FOR SOFTWARE SELF-HEALING USING AUTONOMOUS DECISION ENGINES | December 2020 | December 2021 | Allow | 12 | 0 | 0 | No | No |
| 17109359 | USING GRAPH PARTITIONING FOR SOFTWARE DECOMPOSITION DURING MODERNIZATION PROCESSES | December 2020 | December 2021 | Allow | 12 | 0 | 0 | No | No |
| 17104831 | MIGRATING WORKLOADS IN MULTICLOUD COMPUTING ENVIRONMENTS | November 2020 | February 2022 | Allow | 15 | 1 | 0 | Yes | No |
| 17101529 | TRACKING SOFTWARE ASSETS GENERATED FROM SOURCE CODE USING A BUILD PIPELINE | November 2020 | November 2021 | Allow | 12 | 0 | 0 | No | No |
| 16952301 | ZERO DOWNTIME UPGRADE THROUGH DELTA DEPLOYMENT PROCEDURE USING TARGET SOFTWARE STACK | November 2020 | November 2021 | Allow | 12 | 0 | 0 | No | No |
| 17086247 | Techniques and Architectures for Providing Continuous Integration (CI) and/or Continuous Delivery (CD) in a Data Lake Environment | October 2020 | November 2021 | Allow | 12 | 0 | 0 | No | No |
| 17074275 | SYSTEM AND METHOD FOR DEPLOYING RESOURCES WITHIN A COMPUTING INFRASTRUCTURE | October 2020 | January 2022 | Allow | 15 | 1 | 0 | Yes | No |
| 17037075 | OPTIMAL SOFTWARE ARCHITECTURE RECOMMENDATIONS BY AN APPLICATION MODERNIZATION SERVICE | September 2020 | March 2022 | Allow | 17 | 1 | 0 | No | No |
| 17031731 | AI-GENERATED INSTANT MICRO APPS | September 2020 | September 2021 | Allow | 12 | 0 | 0 | No | No |
| 17025054 | CHANGE LIST-BASED SNAPSHOTS OF APPLICATIONS FOR TESTING AND DEVELOPMENT | September 2020 | February 2022 | Allow | 17 | 1 | 0 | No | No |
| 17014618 | MODEL TRAINING USING BUILD ARTIFACTS | September 2020 | September 2021 | Allow | 12 | 0 | 0 | No | No |
| 16975199 | LINK MANAGEMENT DEVICE, LINK MANAGEMENT METHOD, AND COMPUTER READABLE MEDIUM | August 2020 | October 2021 | Allow | 13 | 0 | 0 | No | No |
| 16995711 | SECURE AND EFFICIENT PRODUCT DEVELOPMENT THROUGH SUBSCRIPTION TO AN EVENT ASSOCIATED WITH A RESTRICTED DESIGN DEPENDENCY TREE | August 2020 | August 2021 | Allow | 12 | 0 | 0 | No | No |
| 16947782 | UTILIZING MACHINE LEARNING TO IDENTIFY AND CORRECT DIFFERENCES IN APPLICATION PROGRAMMING INTERFACE (API) SPECIFICATIONS | August 2020 | January 2022 | Allow | 17 | 1 | 0 | Yes | No |
| 16969506 | APPLICATION DIVISION DEVICE, METHOD AND PROGRAM | August 2020 | November 2021 | Allow | 15 | 1 | 0 | Yes | No |
| 16942486 | SYSTEMS AND METHODS FOR VERSION CONTROL OF PIPELINED ENTERPRISE SOFTWARE | July 2020 | November 2020 | Allow | 3 | 1 | 0 | Yes | No |
| 16937404 | CROSS-HYPERVISOR LIVE MOUNT OF BACKED UP VIRTUAL MACHINE DATA | July 2020 | February 2022 | Allow | 19 | 1 | 0 | No | No |
| 16928800 | REAL-TIME DEFECT ANALYSIS DEVICE | July 2020 | September 2021 | Allow | 14 | 0 | 0 | No | No |
| 16926491 | PROJECT DISCOVERY FOR AUTOMATED COMPILATION, TESTING, AND PACKAGING OF APPLICATIONS | July 2020 | January 2022 | Allow | 18 | 1 | 0 | Yes | No |
| 16911251 | REDUCED PROCESSING LOADS VIA SELECTIVE VALIDATION SPECIFICATIONS | June 2020 | January 2022 | Allow | 18 | 1 | 0 | Yes | No |
| 16909316 | Library Model Addition | June 2020 | January 2022 | Allow | 19 | 1 | 0 | No | No |
| 16901654 | CONSENT RECEIPT MANAGEMENT SYSTEMS AND RELATED METHODS | June 2020 | November 2021 | Allow | 17 | 1 | 0 | No | No |
| 16902133 | METHODS AND SYSTEMS FOR MONITORING CONTRIBUTOR PERFORMANCE FOR SOURCE CODE PROGRAMMING PROJECTS | June 2020 | June 2021 | Allow | 12 | 0 | 0 | No | No |
| 16899292 | HYBRID DEVELOPMENT SYSTEMS AND METHODS | June 2020 | June 2021 | Allow | 12 | 0 | 0 | No | No |
| 16896846 | DATA STRUCTURES FOR MANAGING CONFIGURATION VERSIONS OF CLOUD-BASED APPLICATIONS | June 2020 | November 2021 | Allow | 18 | 1 | 0 | No | No |
| 16895811 | INTELLIGENT PREFETCHING FOR OS COMPONENTS | June 2020 | December 2021 | Allow | 18 | 1 | 0 | Yes | No |
| 16894824 | INTERACTIVE LIBRARY SYSTEM AND METHOD OF INTERACTIVE, REAL-TIME CREATION AND CUSTOMIZATION | June 2020 | January 2022 | Allow | 20 | 1 | 0 | No | No |
| 16893189 | MACHINE LEARNING (ML) INFRASTRUCTURE TECHNIQUES | June 2020 | January 2023 | Allow | 31 | 1 | 0 | Yes | No |
| 16893201 | SYSTEM AND METHOD FOR DATA PROCESSING | June 2020 | September 2020 | Allow | 4 | 1 | 0 | No | No |
| 16893134 | INTERACTIVE LIBRARY SYSTEM AND METHOD OF INTERACTIVE, REAL-TIME CREATION AND CUSTOMIZATION | June 2020 | January 2022 | Allow | 20 | 1 | 0 | No | No |
| 16888704 | INTERACTIVE LIBRARY SYSTEM AND METHOD OF INTERACTIVE, REAL-TIME CREATION AND CUSTOMIZATION | May 2020 | January 2022 | Allow | 19 | 1 | 0 | No | No |
| 16884929 | INTERACTIVE LIBRARY SYSTEM AND METHOD OF INTERACTIVE, REAL-TIME CREATION AND CUSTOMIZATION | May 2020 | December 2021 | Allow | 18 | 2 | 0 | No | No |
| 16764454 | MANAGEMENT METHOD FOR PRESET THIRD-PARTY APPLICATIONS, INTELLIGENT TERMINAL AND STORAGE MEDIUM | May 2020 | August 2021 | Allow | 15 | 1 | 0 | No | No |
| 16874954 | COGNITIVE PROCESSING RESOURCE ALLOCATION | May 2020 | December 2022 | Allow | 31 | 1 | 0 | Yes | No |
| 16875565 | INTEGRATION OF LEARNING MODELS INTO A SOFTWARE DEVELOPMENT SYSTEM | May 2020 | February 2023 | Allow | 33 | 1 | 0 | No | No |
| 16868593 | AUTOMATIC CODE COVERAGE FILE RECOMMENDATION | May 2020 | May 2021 | Allow | 12 | 0 | 0 | No | No |
| 16855314 | ELECTRONIC APPARATUS AND METHOD FOR CONTROLLING THEREOF | April 2020 | November 2021 | Abandon | 19 | 1 | 0 | No | No |
| 16851507 | VERIFYING CONFIDENTIAL MACHINE LEARNING MODELS | April 2020 | July 2022 | Allow | 27 | 0 | 0 | No | No |
| 16850192 | ARTIFICIAL INTELLIGENCE REASONING SYSTEM | April 2020 | July 2022 | Allow | 26 | 0 | 0 | No | No |
| 16837530 | UPGRADING SYSTEM COMPONENTS WITH FORWARD AND BACKWARD COMPATIBILITY | April 2020 | May 2021 | Allow | 13 | 0 | 0 | No | No |
| 16832274 | SORTING ACTIVITY FEED NOTIFICATIONS TO ENHANCE TEAM EFFICIENCY | March 2020 | August 2022 | Allow | 29 | 1 | 0 | Yes | No |
| 16830698 | AUTOMATIC GENERATION OF CONFIGURATION FILES | March 2020 | October 2021 | Allow | 18 | 1 | 0 | Yes | No |
| 16648871 | EVALUATION OF DEVELOPER ORGANIZATIONS | March 2020 | December 2021 | Allow | 21 | 2 | 0 | Yes | No |
| 16815952 | ANALYZING TEST RESULT FAILURES USING ARTIFICIAL INTELLIGENCE MODELS | March 2020 | June 2022 | Allow | 27 | 0 | 0 | No | No |
| 16813336 | SYSTEM AND METHOD FOR SCHEDULING INSTRUCTIONS IN A MULTITHREAD SIMD ARCHITECTURE WITH A FIXED NUMBER OF REGISTERS | March 2020 | September 2021 | Allow | 19 | 1 | 0 | No | No |
| 16784538 | TRACKING RELATED CHANGES WITH CODE ANNOTATIONS | February 2020 | September 2021 | Allow | 19 | 1 | 0 | No | No |
| 16725786 | METHODS AND SYSTEMS FOR AUTOMATED, INTELLIGENT APPLICATION DEVELOPMENT BY SCANNING METADATA BY A PLUG-IN TO MAKE RECOMMENDATIONS | December 2019 | March 2021 | Allow | 14 | 0 | 0 | No | No |
| 16624497 | Systems and Methods for Compression and Distribution of Machine Learning Models | December 2019 | September 2022 | Allow | 33 | 0 | 0 | No | No |
| 16715151 | SYSTEM AND METHOD FOR DATA PROCESSING | December 2019 | May 2020 | Allow | 5 | 1 | 0 | No | No |
| 16712586 | BEHAVIOR DRIVEN DEVELOPMENT TEST FRAMEWORK FOR APPLICATION PROGRAMMING INTERFACES AND WEBSERVICES | December 2019 | March 2021 | Allow | 15 | 0 | 0 | No | No |
| 16704353 | SYSTEMS AND METHODS FOR MANAGING EXECUTION OF A SEQUENCE OF SOFTWARE APPLICATIONS | December 2019 | March 2021 | Allow | 16 | 1 | 0 | No | No |
| 16693685 | Conducting Automated Software Testing Using Centralized Controller and Distributed Test Host Servers | November 2019 | June 2021 | Allow | 19 | 1 | 0 | No | No |
| 16674434 | TIME-WEIGHTED RISKY CODE PREDICTION | November 2019 | June 2021 | Allow | 20 | 1 | 0 | No | No |
| 16672657 | COMPUTER-IMPLEMENTED SYSTEMS AND METHODS FOR PROVIDING CONSISTENT APPLICATION GENERATION | November 2019 | May 2021 | Allow | 18 | 1 | 0 | No | No |
| 16669642 | Automation Of Platform Release | October 2019 | July 2020 | Allow | 9 | 1 | 0 | No | No |
| 16663002 | COMMIT HISTORY LINEARIZATION | October 2019 | July 2020 | Allow | 9 | 0 | 0 | Yes | No |
| 16589590 | FIRMWARE UPDATE METHOD FOR SMART CHARGING DEVICE | October 2019 | January 2021 | Allow | 16 | 0 | 0 | No | No |
| 16589029 | AUTOMATED SOFTWARE GENERATION THROUGH MUTATION AND ARTIFICIAL SELECTION | September 2019 | July 2021 | Allow | 21 | 1 | 0 | Yes | No |
| 16588983 | PATCH RECONCILIATION OF STORAGE NODES WITHIN A STORAGE CLUSTER | September 2019 | June 2021 | Allow | 20 | 1 | 0 | Yes | No |
| 16576783 | REVIEW PROCESS FOR EVALUATING CHANGES TO TARGET CODE FOR A SOFTWARE-BASED PRODUCT | September 2019 | February 2021 | Allow | 16 | 1 | 0 | Yes | No |
| 16570680 | CONFIGURING ENTERPRISE RESOURCE PLANNING SOFTWARE AND GENERATING A CUSTOMIZED REPORT ABOUT SOFTWARE CONFIGURATION | September 2019 | August 2020 | Allow | 11 | 0 | 0 | No | No |
| 16569154 | AUTOMATIC CONFIGURATION AND DEPLOYMENT OF ENVIRONMENTS OF A SYSTEM | September 2019 | December 2020 | Allow | 15 | 0 | 0 | No | No |
| 16564665 | GRAPHICAL USER INTERFACE FOR MACRO GENERATION, MODIFICATION, AND VERIFICATION | September 2019 | August 2021 | Allow | 23 | 1 | 0 | No | No |
| 16543635 | RISK-FOCUSED TESTING | August 2019 | May 2021 | Allow | 21 | 1 | 0 | No | No |
| 16543564 | Crowd-based recommendations of a version of firmware for medical devices | August 2019 | March 2020 | Allow | 7 | 1 | 0 | No | No |
| 16532695 | AUTOMATED SOFTWARE SELECTION USING MATRIX FACTORIZATION | August 2019 | January 2021 | Allow | 17 | 1 | 0 | Yes | No |
| 16533367 | Method and Apparatus for Platform as a Service (PaaS) Automation Control | August 2019 | July 2020 | Allow | 12 | 1 | 0 | No | No |
| 16529943 | ITEMIZATION OF RULE BRANCH CONDITION EXPRESSIONS | August 2019 | January 2021 | Allow | 17 | 1 | 0 | No | No |
| 16527545 | AUTOMATED DEPLOYMENT OF SOFTWARE COMPONENTS | July 2019 | February 2021 | Abandon | 19 | 1 | 0 | No | No |
| 16528506 | DATA VERIFICATION SYSTEM | July 2019 | January 2021 | Allow | 18 | 1 | 0 | Yes | No |
| 16518785 | AUTOMATED REINFORCEMENT-LEARNING-BASED APPLICATION MANAGER THAT USES LOCAL AGENTS | July 2019 | November 2020 | Allow | 16 | 0 | 0 | No | No |
| 16518667 | AUTOMATED REINFORCEMENT-LEARNING-BASED APPLICATION MANAGER THAT USES ACTION TAGS AND METRIC TAGS | July 2019 | March 2021 | Allow | 20 | 1 | 0 | No | No |
| 16518807 | ADVERSARIAL AUTOMATED REINFORCEMENT-LEARNING-BASED APPLICATION-MANAGER TRAINING | July 2019 | December 2020 | Allow | 17 | 0 | 0 | No | No |
| 16518831 | TRANSFERABLE TRAINING FOR AUTOMATED REINFORCEMENT-LEARNING-BASED APPLICATION-MANAGERS | July 2019 | February 2021 | Allow | 19 | 0 | 0 | No | No |
| 16518617 | ADMINISTRATOR-MONITORED REINFORCEMENT-LEARNING-BASED APPLICATION MANAGER | July 2019 | October 2020 | Allow | 15 | 0 | 0 | No | No |
| 16518717 | COMPUTATIONALLY EFFICIENT REINFORCEMENT-LEARNING-BASED APPLICATION MANAGER | July 2019 | November 2020 | Allow | 16 | 0 | 0 | No | No |
| 16518763 | AUTOMATED REINFORCEMENT-LEARNING-BASED APPLICATION MANAGER THAT LEARNS AND IMPROVES A REWARD FUNCTION | July 2019 | November 2020 | Allow | 16 | 0 | 0 | No | No |
| 16518845 | SIMULATOR-TRAINING FOR AUTOMATED REINFORCEMENT-LEARNING-BASED APPLICATION-MANAGERS | July 2019 | September 2021 | Allow | 26 | 1 | 0 | No | No |
| 16513200 | Dataflow Analysis to Reduce the Overhead of On Stack Replacement | July 2019 | September 2020 | Allow | 14 | 1 | 0 | Yes | No |
| 16502587 | SAFE-OPERATION-CONSTRAINED REINFORCEMENT-LEARNING-BASED APPLICATION MANAGER | July 2019 | February 2021 | Allow | 20 | 1 | 0 | No | No |
| 16456665 | LOSSLESS BI-DIRECTIONAL FORMATTING OF PROGRAM SOURCE CODE | June 2019 | November 2020 | Allow | 17 | 1 | 0 | Yes | No |
| 16435500 | Quantum Random, Self-Modifiable Computer | June 2019 | June 2022 | Allow | 36 | 0 | 0 | Yes | No |
| 16430903 | ACTIVE ADAPTATION OF NETWORKED COMPUTE DEVICES USING VETTED REUSABLE SOFTWARE AND HARDWARE COMPONENTS | June 2019 | February 2021 | Allow | 21 | 1 | 0 | No | No |
| 16406960 | VISUAL PROGRAMMING SYSTEM | May 2019 | November 2020 | Allow | 18 | 2 | 0 | Yes | No |
| 16405006 | SYSTEM, COMPUTER PROGRAM PRODUCT AND METHOD FOR ENHANCED PRODUCTION ENVIRONMENT BEHAVIOR MIRRORING E.G. WHILE CONDUCTING PILOT ON PROOF-OF-CONCEPT (POC) PLATFORMS | May 2019 | July 2020 | Allow | 15 | 1 | 0 | No | No |
| 16403947 | TESTING RESPONSES OF SOFTWARE APPLICATIONS TO SPATIOTEMPORAL EVENTS USING SIMULATED ENVIRONMENTS | May 2019 | October 2020 | Allow | 17 | 1 | 0 | Yes | No |
| 16403571 | COMPONENT DESIGN SECURITY THROUGH RESTRICTION OF A DESIGN COMPONENT DEPENDENCY TREE | May 2019 | May 2020 | Allow | 12 | 0 | 0 | No | No |
| 16397531 | INTEGRATING APPLICATION FEATURES INTO A PLATFORM INTERFACE BASED ON APPLICATION METADATA | April 2019 | November 2020 | Allow | 18 | 1 | 0 | Yes | No |
| 16340851 | HOUSE OF QUALITY FOR FEDERATED MANUFACTURING APPS | April 2019 | January 2021 | Allow | 21 | 1 | 0 | No | No |
| 16340171 | MANAGEMENT SYSTEM FOR FUSION SPLICING DEVICE AND MANAGEMENT METHOD FOR FUSION SPLICING DEVICE | April 2019 | September 2020 | Allow | 17 | 1 | 0 | No | No |
| 16371249 | METHOD AND TOOL FOR SYSTEM DEVELOPMENT | April 2019 | July 2020 | Allow | 15 | 1 | 0 | No | No |
| 16369870 | ISSUE TRACKING SYSTEMS AND METHODS | March 2019 | August 2020 | Allow | 17 | 2 | 0 | Yes | No |
| 16368068 | SOFTWARE CONVERSION SIMULATION MODE | March 2019 | February 2021 | Allow | 23 | 1 | 0 | Yes | No |
| 16357324 | DYNAMIC APPLICATION EXECUTION FOR AUTOMOBILE AND CLOUD HYBRID ENVIRONMENTS | March 2019 | January 2020 | Allow | 10 | 0 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner CHAVIS, JOHN Q.
With a 25.0% reversal rate, the PTAB affirms the examiner's rejections in the vast majority of cases. This reversal rate is below the USPTO average, indicating that appeals face more challenges here than typical.
Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.
In this dataset, 27.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is below the USPTO average, suggesting that filing an appeal has limited effectiveness in prompting favorable reconsideration.
⚠ Appeals to PTAB face challenges. Ensure your case has strong merit before committing to full Board review.
⚠ Filing a Notice of Appeal shows limited benefit. Consider other strategies like interviews or amendments before appealing.
Examiner CHAVIS, JOHN Q works in Art Unit 2193 and has examined 890 patent applications in our dataset. With an allowance rate of 89.8%, this examiner has an above-average tendency to allow applications. Applications typically reach final disposition in approximately 33 months.
Examiner CHAVIS, JOHN Q's allowance rate of 89.8% places them in the 73% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.
On average, applications examined by CHAVIS, JOHN Q receive 1.28 office actions before reaching final disposition. This places the examiner in the 15% percentile for office actions issued. This examiner issues significantly fewer office actions than most examiners.
The median time to disposition (half-life) for applications examined by CHAVIS, JOHN Q is 33 months. This places the examiner in the 47% percentile for prosecution speed. Prosecution timelines are slightly slower than average with this examiner.
Conducting an examiner interview provides a -12.2% benefit to allowance rate for applications examined by CHAVIS, JOHN Q. This interview benefit is in the 3% percentile among all examiners. Note: Interviews show limited statistical benefit with this examiner compared to others, though they may still be valuable for clarifying issues.
When applicants file an RCE with this examiner, 37.6% of applications are subsequently allowed. This success rate is in the 86% percentile among all examiners. Strategic Insight: RCEs are highly effective with this examiner compared to others. If you receive a final rejection, filing an RCE with substantive amendments or arguments has a strong likelihood of success.
This examiner enters after-final amendments leading to allowance in 56.3% of cases where such amendments are filed. This entry rate is in the 83% percentile among all examiners. Strategic Recommendation: This examiner is highly receptive to after-final amendments compared to other examiners. Per MPEP § 714.12, after-final amendments may be entered "under justifiable circumstances." Consider filing after-final amendments with a clear showing of allowability rather than immediately filing an RCE, as this examiner frequently enters such amendments.
When applicants request a pre-appeal conference (PAC) with this examiner, 57.1% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 49% percentile among all examiners. Note: Pre-appeal conferences show below-average success with this examiner. Consider whether your arguments are strong enough to warrant a PAC request.
This examiner withdraws rejections or reopens prosecution in 74.2% of appeals filed. This is in the 63% percentile among all examiners. Of these withdrawals, 26.1% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner shows above-average willingness to reconsider rejections during appeals. The mandatory appeal conference (MPEP § 1207.01) provides an opportunity for reconsideration.
When applicants file petitions regarding this examiner's actions, 32.8% are granted (fully or in part). This grant rate is in the 19% percentile among all examiners. Strategic Note: Petitions are rarely granted regarding this examiner's actions compared to other examiners. Ensure you have a strong procedural basis before filing a petition, as the Technology Center Director typically upholds this examiner's decisions.
Examiner's Amendments: This examiner makes examiner's amendments in 8.4% of allowed cases (in the 92% percentile). Per MPEP § 1302.04, examiner's amendments are used to place applications in condition for allowance when only minor changes are needed. This examiner frequently uses this tool compared to other examiners, indicating a cooperative approach to getting applications allowed. Strategic Insight: If you are close to allowance but minor claim amendments are needed, this examiner may be willing to make an examiner's amendment rather than requiring another round of prosecution.
Quayle Actions: This examiner issues Ex Parte Quayle actions in 2.8% of allowed cases (in the 74% percentile). This examiner issues Quayle actions more often than average when claims are allowable but formal matters remain (MPEP § 714.14).
Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:
Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.
No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.
Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.
Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.