Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19320807 | ARCHITECTURAL AUGMENTATION OF NEURAL NETWORKS USING EVALUATED SPECIALTY NODE UNITS | September 2025 | January 2026 | Allow | 5 | 1 | 0 | No | No |
| 19313736 | SELF-SUPERVISED RETRIEVER OPTIMIZATION VIA ATTENTION-DERIVED FEEDBACK IN RETRIEVAL AUGMENTED GENERATION SYSTEMS | August 2025 | October 2025 | Allow | 2 | 0 | 0 | No | No |
| 19249415 | SYSTEM, METHOD, AND APPARATUS FOR PROVIDING DYNAMIC, PRIORITIZED SPECTRUM MANAGEMENT AND UTILIZATION | June 2025 | September 2025 | Allow | 2 | 0 | 0 | Yes | No |
| 19098299 | ACCELERATED TRAINING OF A NEURAL NETWORK VIA REGULARIZATION | April 2025 | June 2025 | Allow | 2 | 1 | 0 | No | No |
| 19074955 | USING MACHINE LEARNING AND FREE TEXT DATA TO DETECT AND REPORT EVENTS ASSOCIATED WITH USE OF SOFTWARE APPLICATIONS | March 2025 | January 2026 | Allow | 11 | 2 | 0 | Yes | No |
| 19069877 | SYSTEM, METHOD, AND APPARATUS FOR PROVIDING DYNAMIC, PRIORITIZED SPECTRUM MANAGEMENT AND UTILIZATION | March 2025 | June 2025 | Allow | 3 | 0 | 0 | Yes | No |
| 19061636 | Agentic AI, Contextual AI, and Generative AI Systems and Methods for Medical and Genetic Analytics, Diagnostics, and Treatment Recommendations | February 2025 | June 2025 | Allow | 4 | 0 | 0 | Yes | No |
| 18947318 | CREATING DIVERSE NEURAL NETWORKS WITH NODE TYING | November 2024 | December 2024 | Allow | 1 | 0 | 0 | Yes | No |
| 18938118 | METHODS AND SYSTEMS FOR CONCRETE MATERIALS AND CONCRETE MIXTURE CHARACTERIZATION | November 2024 | October 2025 | Allow | 12 | 2 | 0 | Yes | No |
| 18932531 | SYSTEM AND METHOD FOR CONSTRUCTING A LAYERED ARTIFICIAL INTELLIGENCE MODEL | October 2024 | March 2025 | Allow | 4 | 1 | 0 | No | No |
| 18911916 | SYSTEM, METHOD, AND APPARATUS FOR PROVIDING DYNAMIC, PRIORITIZED SPECTRUM MANAGEMENT AND UTILIZATION | October 2024 | February 2025 | Allow | 5 | 1 | 0 | No | No |
| 18806230 | USING MACHINE LEARNING AND FREE TEXT DATA TO DETECT AND REPORT EVENTS ASSOCIATED WITH USE OF SOFTWARE APPLICATIONS | August 2024 | December 2024 | Allow | 4 | 0 | 0 | No | No |
| 18795891 | SYSTEM, METHOD, AND APPARATUS FOR PROVIDING DYNAMIC, PRIORITIZED SPECTRUM MANAGEMENT AND UTILIZATION | August 2024 | October 2024 | Allow | 2 | 0 | 0 | Yes | No |
| 18756524 | SYSTEM, METHOD, AND APPARATUS FOR PROVIDING DYNAMIC, PRIORITIZED SPECTRUM MANAGEMENT AND UTILIZATION | June 2024 | October 2024 | Allow | 4 | 1 | 0 | No | No |
| 18743449 | SYSTEMS AND METHODS FOR SEMANTIC CONCEPT DEFINITION AND SEMANTIC CONCEPT RELATIONSHIP SYNTHESIS UTILIZING EXISTING DOMAIN DEFINITIONS | June 2024 | December 2025 | Allow | 18 | 1 | 0 | No | No |
| 18737942 | SYSTEM AND METHOD FOR CONSTRUCTING A LAYERED ARTIFICIAL INTELLIGENCE MODEL | June 2024 | September 2024 | Allow | 3 | 1 | 0 | Yes | No |
| 18664045 | Generative AI and Agentic AI Systems and Methods for Industrial Equipment and Manufacturing Systems Analytics, Control,and Optimization | May 2024 | October 2024 | Allow | 5 | 1 | 0 | No | No |
| 18657682 | ANALYSING MACHINE-LEARNED CLASSIFIER MODELS | May 2024 | October 2025 | Allow | 17 | 0 | 0 | No | No |
| 18652441 | Generative AI and Agentic AI Systems and Methods for Prevention, Detection, Mitigation and Remediation of Cybersecurity Threats | May 2024 | July 2024 | Allow | 3 | 0 | 0 | Yes | No |
| 18642549 | COMPUTER-BASED SYSTEMS CONFIGURED FOR ENTITY RESOLUTION AND INDEXING OF ENTITY ACTIVITY | April 2024 | February 2026 | Allow | 21 | 1 | 0 | No | No |
| 18631780 | SYSTEM, METHOD, AND APPARATUS FOR PROVIDING DYNAMIC, PRIORITIZED SPECTRUM MANAGEMENT AND UTILIZATION | April 2024 | August 2024 | Allow | 4 | 1 | 0 | No | No |
| 18625612 | GENERATIVE AI SYSTEMS AND METHODS FOR SECURITIES TRADING | April 2024 | July 2024 | Allow | 3 | 0 | 0 | Yes | No |
| 18593758 | DATA BLAMING | March 2024 | June 2025 | Allow | 15 | 1 | 0 | No | No |
| 18582487 | CUSTOMIZABLE CHIP FOR AI APPLICATIONS | February 2024 | July 2025 | Allow | 17 | 1 | 0 | No | No |
| 18430483 | Neural Architecture Search with Factorized Hierarchical Search Space | February 2024 | January 2025 | Allow | 11 | 0 | 0 | Yes | No |
| 18425662 | SYSTEM, METHOD, AND APPARATUS FOR PROVIDING DYNAMIC, PRIORITIZED SPECTRUM MANAGEMENT AND UTILIZATION | January 2024 | June 2024 | Allow | 4 | 0 | 0 | Yes | No |
| 18405600 | SYSTEM, METHOD, AND APPARATUS FOR PROVIDING DYNAMIC, PRIORITIZED SPECTRUM MANAGEMENT AND UTILIZATION | January 2024 | March 2024 | Allow | 3 | 0 | 0 | Yes | No |
| 18398759 | DEEP LEARNING MODEL OPTIMIZATION METHOD AND APPARATUS FOR MEDICAL IMAGE SEGMENTATION | December 2023 | March 2025 | Allow | 14 | 1 | 0 | No | No |
| 18527139 | SYSTEMS USING HASH KEYS TO PRESERVE PRIVACY ACROSS MULTIPLE TASKS | December 2023 | July 2025 | Allow | 19 | 1 | 0 | No | No |
| 18503640 | SYSTEM, METHOD, AND APPARATUS FOR PROVIDING DYNAMIC, PRIORITIZED SPECTRUM MANAGEMENT AND UTILIZATION | November 2023 | January 2024 | Allow | 2 | 0 | 0 | No | No |
| 18379500 | HEIRARCHICAL PREDICTION MODELS FOR UNSTRUCTURED TRANSACTION DATA | October 2023 | March 2025 | Allow | 17 | 1 | 0 | No | No |
| 18370046 | LIVESTOCK AND FEEDLOT DATA COLLECTION AND PROCESSING USING UHF-BAND INTERROGATION OF RADIO FREQUENCY IDENTIFICATION TAGS FOR FEEDLOT ARRIVAL AND RISK ASSESSMENT | September 2023 | September 2024 | Allow | 12 | 0 | 0 | No | No |
| 18344605 | MODULAR MACHINE LEARNING SYSTEMS AND METHODS | June 2023 | November 2024 | Allow | 16 | 2 | 0 | Yes | No |
| 18342461 | GENERATIVE AI SYSTEMS AND METHODS FOR ECONOMIC ANALYTICS AND FORECASTING | June 2023 | June 2024 | Allow | 12 | 2 | 0 | Yes | No |
| 18201383 | SYSTEM, METHOD, AND APPARATUS FOR PROVIDING DYNAMIC, PRIORITIZED SPECTRUM MANAGEMENT AND UTILIZATION | May 2023 | October 2023 | Allow | 5 | 1 | 0 | No | No |
| 18320385 | COMMUNICATION OPTIMIZATIONS FOR DISTRIBUTED MACHINE LEARNING | May 2023 | July 2025 | Allow | 26 | 2 | 0 | Yes | No |
| 18143970 | IMPROPER NEURAL NETWORK INPUT DETECTION AND HANDLING | May 2023 | January 2026 | Allow | 33 | 1 | 0 | Yes | No |
| 18309306 | COMPUTER-BASED SYSTEMS CONFIGURED FOR ENTITY RESOLUTION AND INDEXING OF ENTITY ACTIVITY | April 2023 | December 2023 | Allow | 8 | 0 | 0 | Yes | No |
| 18297420 | RECURRENT NEURAL NETWORKS TO PREDICT USER REQUESTS | April 2023 | October 2023 | Allow | 7 | 0 | 0 | No | No |
| 18194018 | FORECASTING ACTIVITY IN SOFTWARE APPLICATIONS USING MACHINE LEARNING MODELS AND MULTIDIMENSIONAL TIME-SERIES DATA | March 2023 | November 2023 | Allow | 7 | 1 | 0 | Yes | No |
| 18128169 | CONFIGURATION ASSESSMENT BASED ON INVENTORY | March 2023 | November 2023 | Allow | 7 | 1 | 0 | Yes | No |
| 18124559 | UNSUPERVISED REINFORCEMENT LEARNING METHOD AND APPARATUS BASED ON WASSERSTEIN DISTANCE | March 2023 | September 2023 | Allow | 6 | 1 | 0 | No | No |
| 18184433 | OPERATIONAL NEURAL NETWORK PERFORMANCE VIA FEATURE SPACE ANALYSIS | March 2023 | November 2025 | Allow | 32 | 0 | 0 | No | No |
| 18178234 | GENERATIVE ARTIFICIAL INTELLIGENCE (AI) SYSTEM | March 2023 | March 2026 | Allow | 36 | 1 | 0 | Yes | No |
| 18043447 | GENERATION METHOD, PROGRAM, INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND TRAINED MODEL | February 2023 | June 2024 | Allow | 16 | 3 | 0 | Yes | No |
| 18106263 | SYSTEM AND METHODS FOR MODULAR COMPLETION OF A PECUNIARY-RELATED ACTIVITY | February 2023 | October 2023 | Allow | 8 | 1 | 0 | Yes | No |
| 18102247 | MACHINE LEARNING MODEL WITH LAYER LEVEL UNCERTAINTY METRICS | January 2023 | September 2023 | Allow | 7 | 1 | 0 | No | No |
| 18156997 | SYSTEMS USING HASH KEYS TO PRESERVE PRIVACY ACROSS MULTIPLE TASKS | January 2023 | July 2023 | Allow | 6 | 0 | 0 | No | No |
| 18154321 | Neural Architecture Search with Factorized Hierarchical Search Space | January 2023 | October 2023 | Allow | 9 | 1 | 0 | No | No |
| 18094873 | LIVESTOCK AND FEEDLOT DATA COLLECTION AND PROCESSING USING UHF-BAND INTERROGATION OF RADIO FREQUENCY IDENTIFICATION TAGS FOR FEEDLOT ARRIVAL AND RISK ASSESSMENT | January 2023 | May 2023 | Allow | 5 | 0 | 0 | No | No |
| 18151923 | Method and System for Accelerating Score-based Generative Models with Preconditioned Diffusion Sampling | January 2023 | March 2023 | Allow | 3 | 0 | 0 | No | No |
| 18151203 | AUGMENTED KNOWLEDGE BASE AND REASONING WITH UNCERTAINTIES AND/OR INCOMPLETENESS | January 2023 | April 2023 | Allow | 4 | 0 | 0 | No | No |
| 18092493 | CANDIDATE DATA POINTS SELECTION SYSTEM FOR LABELING UNLABELED DATA POINTS | January 2023 | December 2025 | Allow | 35 | 1 | 0 | No | No |
| 18087213 | METHOD AND A SYSTEM OF DETERMINING LIDAR DATA DEGRADATION DEGREE | December 2022 | January 2026 | Allow | 37 | 1 | 0 | Yes | No |
| 18066627 | Data Processing in a Machine Learning Computer | December 2022 | February 2026 | Allow | 38 | 1 | 0 | No | No |
| 18081331 | SYSTEM, METHOD, AND APPARATUS FOR PROVIDING DYNAMIC, PRIORITIZED SPECTRUM MANAGEMENT AND UTILIZATION | December 2022 | April 2023 | Allow | 4 | 1 | 0 | No | No |
| 17993430 | NEURAL NETWORK CONSTRUCTION METHOD AND APPARATUS | November 2022 | March 2026 | Allow | 50 | 2 | 0 | No | No |
| 17993436 | PARAMETER UPDATING METHOD AND APPARATUS AND STORAGE MEDIUM | November 2022 | September 2025 | Allow | 34 | 0 | 0 | No | No |
| 17986982 | ANOMALY DETECTION SYSTEM USING MULTI-LAYER SUPPORT VECTOR MACHINES AND METHOD THEREOF | November 2022 | January 2026 | Allow | 38 | 1 | 0 | Yes | No |
| 17970703 | SYSTEM AND METHOD OF DETERMINING AND EXECUTING DEEP TENSOR COLUMNS IN NEURAL NETWORKS | October 2022 | December 2023 | Allow | 13 | 2 | 0 | Yes | No |
| 17968085 | SENSOR TRANSFORMATION ATTENTION NETWORK (STAN) MODEL | October 2022 | May 2024 | Allow | 19 | 2 | 0 | No | No |
| 17901895 | METHOD FOR CONSTRUCTING SUPPORT VECTOR MACHINE OF NONPARALLEL STRUCTURE | September 2022 | November 2025 | Allow | 38 | 1 | 0 | No | No |
| 17901330 | SYSTEM, METHOD, AND APPARATUS FOR PROVIDING DYNAMIC, PRIORITIZED SPECTRUM MANAGEMENT AND UTILIZATION | September 2022 | December 2022 | Allow | 4 | 1 | 0 | No | No |
| 17801272 | LEARNING DEVICE, LEARNING METHOD, LEARNING PROGRAM, ESTIMATION DEVICE, ESTIMATION METHOD, AND ESTIMATION PROGRAM | August 2022 | March 2026 | Abandon | 43 | 1 | 0 | No | No |
| 17819281 | LATENCY PREDICTION METHOD AND COMPUTING DEVICE FOR THE SAME | August 2022 | May 2024 | Allow | 21 | 1 | 0 | No | No |
| 17884923 | DETECTING ANOMALOUS DATA | August 2022 | January 2026 | Allow | 41 | 2 | 0 | Yes | No |
| 17882555 | DATA BLAMING | August 2022 | June 2023 | Allow | 11 | 0 | 0 | Yes | No |
| 17864694 | SYSTEM AND METHOD FOR CLASS SPECIFIC DEEP LEARNING | July 2022 | June 2023 | Allow | 11 | 1 | 0 | No | No |
| 17860031 | CUSTOMIZABLE CHIP FOR AI APPLICATIONS | July 2022 | October 2023 | Allow | 15 | 1 | 0 | Yes | No |
| 17833194 | Generating Recommendations Using a Deep-Learning Model | June 2022 | March 2023 | Allow | 9 | 0 | 0 | No | No |
| 17747144 | PERFORMING NAVIGATION TASKS USING GRID CODES | May 2022 | January 2023 | Allow | 8 | 0 | 0 | No | No |
| 17658712 | SYSTEMS AND METHODS FOR SYNTHETIC INTERVENTIONS | April 2022 | June 2025 | Allow | 38 | 1 | 0 | Yes | No |
| 17712805 | SYSTEMS AND METHODS FOR INTELLIGENT GRAPH-BASED BUFFER SIZING FOR A MIXED-SIGNAL INTEGRATED CIRCUIT | April 2022 | August 2022 | Allow | 4 | 1 | 0 | No | No |
| 17705666 | DYNAMICALLY UPDATED USER INTERFACE FOR THREAT INVESTIGATION | March 2022 | March 2026 | Allow | 47 | 2 | 0 | Yes | No |
| 17705151 | Systems and Methods for Hybrid Integration and Development Pipelines | March 2022 | July 2025 | Allow | 40 | 1 | 0 | No | No |
| 17696443 | Dew Point Pressure Prediction Using Isothermal Constant Composition Expansion and Artificial Intelligence | March 2022 | August 2025 | Allow | 41 | 0 | 0 | No | No |
| 17695526 | HIERARCHICAL MODELING APPROACH FOR DIGITAL REPAIR PARTS PREDICTION | March 2022 | May 2025 | Allow | 38 | 0 | 0 | No | No |
| 17654093 | FAIRNESS ASSESSMENT FOR DEEP GENERATIVE MODELS | March 2022 | March 2025 | Allow | 36 | 2 | 0 | Yes | No |
| 17640847 | CONTROL APPARATUS, METHOD AND SYSTEM | March 2022 | February 2026 | Abandon | 47 | 1 | 0 | No | No |
| 17687074 | DATA SUBSET SELECTION FOR FEDERATED LEARNING | March 2022 | February 2026 | Allow | 47 | 2 | 0 | Yes | No |
| 17685462 | COMMUNICATION OPTIMIZATIONS FOR DISTRIBUTED MACHINE LEARNING | March 2022 | March 2023 | Allow | 12 | 0 | 0 | No | No |
| 17674809 | ESTIMATING IN-DIE OVERLAY WITH TOOL INDUCED SHIFT CORRECTION | February 2022 | August 2024 | Allow | 30 | 1 | 0 | No | No |
| 17651293 | AUTOMATED MODEL PREDICTIVE CONTROL USING A REGRESSION-OPTIMIZATION FRAMEWORK FOR SEQUENTIAL DECISION MAKING | February 2022 | July 2025 | Allow | 41 | 1 | 0 | No | No |
| 17668930 | ONLINE LEARNING BY AN INSTANCE OF A DEEP LEARNING MODEL AND SHARING OF LEARNING WITH ADDITIONAL INSTANCES OF THE DEEP LEARNING MODEL | February 2022 | May 2025 | Allow | 39 | 1 | 0 | Yes | No |
| 17582515 | SYSTEMS AND METHODS WITH MACHINE LEARNED DATASET EMBEDDING FOR DATA FUSION OF MATERIAL PROPERTY DATASETS | January 2022 | February 2026 | Allow | 48 | 2 | 0 | Yes | No |
| 17627601 | ESTIMATING DEVICE, ESTIMATING METHOD, AND ESTIMATING PROGRAM | January 2022 | February 2025 | Allow | 37 | 0 | 0 | No | No |
| 17572155 | ARTIFICIAL INTELLIGENCE OPERATIONS ADAPTIVE MULTI-GRANULARITY EVENT GROUPING | January 2022 | December 2025 | Allow | 47 | 2 | 0 | Yes | No |
| 17560474 | TABULAR DATA GENERATION WITH ATTENTION FOR MACHINE LEARNING MODEL TRAINING SYSTEM | December 2021 | May 2022 | Allow | 5 | 0 | 0 | Yes | No |
| 17645931 | Road Modeling with Ensemble Gaussian Processes | December 2021 | March 2025 | Allow | 39 | 0 | 0 | No | No |
| 17526278 | COMPUTER-BASED SYSTEMS CONFIGURED FOR ENTITY RESOLUTION AND INDEXING OF ENTITY ACTIVITY | November 2021 | January 2023 | Allow | 14 | 0 | 0 | No | No |
| 17503625 | GENERATING TEMPORALLY-RELATED SEARCH TERM RECOMMENDATIONS | October 2021 | July 2025 | Allow | 45 | 1 | 0 | No | No |
| 17495398 | Neural Architecture Search with Factorized Hierarchical Search Space | October 2021 | October 2023 | Abandon | 24 | 2 | 0 | No | No |
| 17475590 | RECURRENT NEURAL NETWORKS TO PREDICT USER REQUESTS | September 2021 | January 2023 | Allow | 16 | 0 | 0 | No | No |
| 17466308 | SYSTEM FOR IMPROVING USER SENTIMENT DETERMINATION FROM SOCIAL MEDIA AND WEB SITE USAGE DATA | September 2021 | December 2022 | Allow | 15 | 0 | 0 | No | No |
| 17461267 | SYSTEM, METHOD, AND APPARATUS FOR PROVIDING DYNAMIC, PRIORITIZED SPECTRUM MANAGEMENT AND UTILIZATION | August 2021 | July 2022 | Allow | 11 | 1 | 0 | Yes | No |
| 17403460 | GENERATING TRAINING DATA FOR MACHINE LEARNING MODEL FOR PROVIDING RECOMMENDATIONS FOR SERVICES | August 2021 | March 2022 | Allow | 7 | 0 | 0 | No | No |
| 17391538 | SYSTEMS USING HASH KEYS TO PRESERVE PRIVACY ACROSS MULTIPLE TASKS | August 2021 | October 2022 | Allow | 15 | 0 | 0 | No | No |
| 17371318 | DETERMINING CAUSALITY FOR CLOUD COMPUTING ENVIRONMENT CONTROLLER | July 2021 | May 2025 | Allow | 46 | 2 | 0 | No | No |
| 17364510 | LIVESTOCK AND FEEDLOT DATA COLLECTION AND PROCESSING USING UHF-BAND INTERROGATION OF RADIO FREQUENCY IDENTIFICATION TAGS FOR FEEDLOT ARRIVAL AND RISK ASSESSMENT | June 2021 | October 2022 | Allow | 15 | 0 | 0 | Yes | No |
| 17340430 | HEIRARCHICAL PREDICTION MODELS FOR UNSTRUCTURED TRANSACTION DATA | June 2021 | June 2023 | Allow | 24 | 1 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner WOOLWINE, SHANE D.
With a 50.0% reversal rate, the PTAB reverses the examiner's rejections in a meaningful percentage of cases. This reversal rate is above the USPTO average, indicating that appeals have better success 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, 50.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the top 25% across the USPTO, indicating that filing appeals is particularly effective here. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
✓ Appeals to PTAB show good success rates. If you have a strong case on the merits, consider fully prosecuting the appeal to a Board decision.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner WOOLWINE, SHANE D works in Art Unit 2124 and has examined 250 patent applications in our dataset. With an allowance rate of 92.4%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 40 months.
Examiner WOOLWINE, SHANE D's allowance rate of 92.4% places them in the 78% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by WOOLWINE, SHANE D receive 1.34 office actions before reaching final disposition. This places the examiner in the 19% 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 WOOLWINE, SHANE D is 40 months. This places the examiner in the 23% percentile for prosecution speed. Applications take longer to reach final disposition with this examiner compared to most others.
Conducting an examiner interview provides a +11.8% benefit to allowance rate for applications examined by WOOLWINE, SHANE D. This interview benefit is in the 47% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.
When applicants file an RCE with this examiner, 40.6% of applications are subsequently allowed. This success rate is in the 92% 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 44.8% of cases where such amendments are filed. This entry rate is in the 68% percentile among all examiners. Strategic Recommendation: This examiner shows above-average receptiveness to after-final amendments. If your amendments clearly overcome the rejections and do not raise new issues, consider filing after-final amendments before resorting to an RCE.
When applicants request a pre-appeal conference (PAC) with this examiner, 66.7% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 53% percentile among all examiners. Strategic Recommendation: Pre-appeal conferences show above-average effectiveness with this examiner. If you have strong arguments, a PAC request may result in favorable reconsideration.
This examiner withdraws rejections or reopens prosecution in 50.0% of appeals filed. This is in the 15% percentile among all examiners. Of these withdrawals, 25.0% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner rarely withdraws rejections during the appeal process compared to other examiners. If you file an appeal, be prepared to fully prosecute it to a PTAB decision. Per MPEP § 1207, the examiner will prepare an Examiner's Answer maintaining the rejections.
When applicants file petitions regarding this examiner's actions, 15.8% are granted (fully or in part). This grant rate is in the 9% 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 0.0% of allowed cases (in the 9% percentile). This examiner rarely makes examiner's amendments compared to other examiners. You should expect to make all necessary claim amendments yourself through formal amendment practice.
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 10% percentile). This examiner rarely issues Quayle actions compared to other examiners. Allowances typically come directly without a separate action for formal matters.
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.