Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 17104364 | OBJECT DETECTION BASED ON WRIST-AREA REGION-OF-INTEREST | November 2020 | March 2022 | Allow | 16 | 4 | 0 | Yes | No |
| 17094275 | IMAGE PROCESSING-BASED WEIGHT ESTIMATION FOR AQUACULTURE | November 2020 | December 2022 | Allow | 25 | 2 | 0 | Yes | No |
| 17093070 | SYSTEM AND METHOD FOR MULTIMODAL SPATIOTEMPORAL PAIN ASSESSMENT | November 2020 | December 2022 | Allow | 25 | 2 | 0 | No | No |
| 17083678 | OPTICAL FLOW COMPUTING METHOD AND COMPUTING DEVICE | October 2020 | August 2022 | Allow | 22 | 1 | 0 | No | No |
| 17077900 | METHOD AND SYSTEM FOR MULTI INSTANCE VISUAL TRACKING BASED ON OBSERVER MOTION MODELLING | October 2020 | April 2022 | Allow | 17 | 0 | 0 | No | No |
| 17064465 | SYSTEMS AND METHODS FOR ENROLLMENT AND IDENTITY MANAGEMENT USING MOBILE IMAGING | October 2020 | September 2021 | Allow | 11 | 0 | 0 | No | No |
| 17035638 | LANE DETECTION METHOD AND SYSTEM BASED ON VISION AND LIDAR MULTI-LEVEL FUSION | September 2020 | December 2020 | Allow | 3 | 0 | 0 | No | No |
| 16999618 | SYSTEMS AND METHODS FOR RISK ASSESSMENT AND TREATMENT PLANNING OF ARTERIOVENOUS MALFORMATION | August 2020 | September 2021 | Allow | 60 | 0 | 0 | Yes | No |
| 16988716 | METHOD FOR TREATING ARTERIAL STENOSIS | August 2020 | April 2023 | Allow | 32 | 1 | 0 | No | No |
| 16650870 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD | March 2020 | June 2022 | Allow | 27 | 0 | 0 | No | No |
| 16829402 | SEMI-SUPERVISED LEARNING BASED ON CLUSTERING OBJECTS IN VIDEO FROM A PROPERTY | March 2020 | September 2022 | Allow | 30 | 1 | 0 | No | No |
| 16814593 | NEURAL NETWORK BASED RADIOWAVE MONITORING OF ANATOMICAL DYNAMICS IN PATIENT DEGENERATIVE CONDITIONS | March 2020 | November 2022 | Allow | 33 | 2 | 0 | Yes | No |
| 16811688 | Methods, Systems, and Apparatuses for Quantitative Analysis of Heterogeneous Biomarker Distribution | March 2020 | February 2021 | Allow | 12 | 1 | 0 | Yes | No |
| 16806390 | METHODS AND APPARATUS FOR FALL PREVENTION | March 2020 | March 2023 | Allow | 36 | 2 | 0 | No | No |
| 16638551 | A LABEL-FREE METHOD AND SYSTEM FOR MEASURING DRUG RESPONSE KINETICS OF THREE-DIMENSIONAL CELLULAR STRUCTURES | February 2020 | April 2023 | Abandon | 38 | 1 | 0 | No | No |
| 16734894 | REFINED SEARCHING BASED ON DETECTED OBJECT CONFIGURATIONS | January 2020 | September 2022 | Allow | 32 | 1 | 0 | Yes | No |
| 16727161 | SYSTEMS AND METHODS FOR EMBOLISM PREDICTION USING EMBOLUS SOURCE AND DESTINATION PROBABILITIES | December 2019 | December 2022 | Allow | 36 | 7 | 0 | Yes | No |
| 16625172 | Weakly-Supervised Action Localization by Sparse Temporal Pooling Network | December 2019 | December 2022 | Allow | 36 | 1 | 0 | No | No |
| 16720795 | GROUND SURFACE IMAGING COMBINING LIDAR AND CAMERA DATA | December 2019 | February 2023 | Allow | 38 | 2 | 0 | No | No |
| 16708770 | PROCESS FOR UPDATING TEMPLATES USED IN FACIAL RECOGNITION | December 2019 | April 2022 | Abandon | 28 | 3 | 0 | Yes | No |
| 16616962 | OBJECT TRACKING METHOD, OBJECT TRACKING APPARATUS, VEHICLE HAVING THE SAME, AND COMPUTER-PROGRAM PRODUCT | November 2019 | June 2022 | Allow | 31 | 1 | 0 | Yes | No |
| 16691182 | SYSTEMS AND METHODS FOR IMAGE-FEATURE-BASED RECOGNITION | November 2019 | October 2020 | Allow | 10 | 0 | 0 | Yes | No |
| 16686909 | DEVICE AND METHOD FOR ANALYZING SPATIOTEMPORAL DATA OF GEOGRAPHICAL SPACE | November 2019 | April 2022 | Allow | 29 | 1 | 0 | No | No |
| 16591331 | SYSTEMS AND METHODS FOR IMAGE MATCHING AND RETRIEVAL PROCESS | October 2019 | June 2022 | Allow | 32 | 1 | 0 | No | No |
| 16499840 | FACE AUTHENTICATION DEVICE AND FACE AUTHENTICATION METHOD | September 2019 | August 2022 | Abandon | 35 | 2 | 0 | No | No |
| 16540759 | AUTOMATED ULTRASOUND VIDEO INTERPRETATION OF A BODY PART WITH ONE OR MORE CONVOLUTIONAL NEURAL NETWORKS | August 2019 | June 2022 | Allow | 34 | 1 | 0 | Yes | No |
| 16533850 | ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF | August 2019 | March 2021 | Allow | 19 | 4 | 0 | Yes | No |
| 16524638 | DEEP LEARNING TECHNIQUES FOR MAGNETIC RESONANCE IMAGE RECONSTRUCTION | July 2019 | December 2021 | Allow | 28 | 1 | 0 | Yes | No |
| 16523491 | PARTICLE FILTERING FOR CONTINUOUS TRACKING AND CORRECTION OF BODY JOINT POSITIONS | July 2019 | March 2021 | Allow | 20 | 0 | 0 | Yes | No |
| 16480113 | CHIP RECOGNIZING AND LEARNING SYSTEM | July 2019 | August 2022 | Abandon | 37 | 4 | 0 | No | No |
| 16458737 | Method for Diagnosing, Predicting, Determining Prognosis, Monitoring, or Staging Disease Based on Vascularization Patterns | July 2019 | August 2021 | Allow | 25 | 2 | 0 | No | No |
| 16433642 | REAL-TIME VIDEO STREAM ANALYSIS SYSTEM USING DEEP NEURAL NETWORKS | June 2019 | September 2022 | Allow | 39 | 4 | 0 | Yes | No |
| 16427250 | ON-PLATFORM ANALYTICS | May 2019 | September 2023 | Abandon | 51 | 6 | 0 | Yes | No |
| 16382698 | METHOD AND APPARATUS FOR RECONSTRUCTING MAGNETIC RESONANCE IMAGE DATA | April 2019 | December 2021 | Allow | 32 | 1 | 0 | Yes | No |
| 16376717 | HIGH BANDWIDTH CAMERA DATA TRANSMISSION | April 2019 | July 2021 | Allow | 27 | 1 | 0 | Yes | No |
| 16376366 | SYSTEMS AND METHODS FOR RISK ASSESSMENT AND TREATMENT PLANNING OF ARTERIO-VENOUS MALFORMATION | April 2019 | May 2020 | Allow | 13 | 2 | 0 | No | No |
| 16338815 | CURRENCY CLASSIFICATION DEVICE AND CURRENCY CLASSIFICATION METHOD | April 2019 | March 2021 | Allow | 23 | 2 | 0 | Yes | No |
| 16369908 | OBJECT CO-SEGMENTATION IN IMAGE DATA USING SEMANTIC FILTER | March 2019 | November 2021 | Allow | 31 | 2 | 0 | No | No |
| 16365214 | OBJECT OF INTEREST DATABASE MANAGEMENT USING INSPECTION DATA | March 2019 | January 2022 | Abandon | 33 | 4 | 0 | Yes | No |
| 16360682 | CONTRAST PARAMETER LEARNING SYSTEM | March 2019 | February 2022 | Allow | 35 | 2 | 0 | Yes | Yes |
| 16353935 | LESION TRACKING SYSTEM | March 2019 | February 2022 | Allow | 35 | 2 | 1 | Yes | Yes |
| 16332989 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM | March 2019 | October 2021 | Allow | 31 | 4 | 0 | Yes | No |
| 16289910 | METHOD FOR GENERATING PLURAL INFORMATION USING CAMERA TO SENSE PLURAL WAVE BANDWIDTH AND APPARATUS THEREOF | March 2019 | September 2021 | Allow | 31 | 3 | 0 | No | No |
| 16282250 | SYSTEMS AND METHODS FOR ENROLLMENT AND IDENTITY MANAGEMENT USING MOBILE IMAGING | February 2019 | July 2020 | Allow | 17 | 4 | 0 | Yes | No |
| 16234701 | SYSTEMS AND METHODS FOR IDENTIFYING AND POSITIONING OBJECTS AROUND A VEHICLE | December 2018 | October 2021 | Abandon | 33 | 4 | 0 | No | No |
| 16202146 | SYSTEM AND METHOD FOR PROCESSING MEDICAL IMAGE DATA | November 2018 | May 2022 | Allow | 41 | 4 | 0 | Yes | No |
| 16194581 | PERIPHERY MONITORING DEVICE | November 2018 | October 2020 | Allow | 23 | 1 | 0 | No | No |
| 16194243 | SYSTEM AND METHOD FOR COUCH SAG COMPENSATION | November 2018 | March 2021 | Allow | 28 | 1 | 0 | Yes | No |
| 16190466 | UTILIZING GLYPH-BASED MACHINE LEARNING MODELS TO GENERATE MATCHING FONTS | November 2018 | September 2021 | Allow | 34 | 2 | 0 | Yes | No |
| 16301302 | METHOD FOR DETECTING THE DIRECTION OF ORIENTATION OF A VEHICLE AND USE OF THE METHOD | November 2018 | December 2021 | Abandon | 37 | 3 | 0 | No | No |
| 16185362 | Method for Processing a Raw Image of a Time-of-Flight Camera, Image Processing Apparatus and Computer Program | November 2018 | August 2022 | Abandon | 45 | 4 | 0 | Yes | Yes |
| 16179154 | Determining Malignancy of Pulmonary Nodules using Deep Learning | November 2018 | December 2021 | Allow | 37 | 6 | 0 | Yes | No |
| 16139969 | IMAGE DATA PROCESSING METHOD AND APPARATUS | September 2018 | January 2021 | Allow | 27 | 1 | 0 | No | No |
| 16121667 | LEARNING METHOD, LEARNING DEVICE FOR OPTIMIZING PARAMETERS OF CNN BY USING MULTIPLE VIDEO FRAMES AND TESTING METHOD, TESTING DEVICE USING THE SAME | September 2018 | March 2019 | Allow | 6 | 0 | 0 | Yes | No |
| 16121681 | LEARNING METHOD, LEARNING DEVICE FOR DETECTING OBSTACLES AND TESTING METHOD, TESTING DEVICE USING THE SAME | September 2018 | February 2019 | Allow | 5 | 0 | 0 | Yes | No |
| 16121640 | LEARNING METHOD, LEARNING DEVICE FOR DETECTING LANE THROUGH LANE MODEL AND TESTING METHOD, TESTING DEVICE USING THE SAME | September 2018 | December 2018 | Allow | 4 | 0 | 0 | Yes | No |
| 16121670 | LEARNING METHOD, LEARNING DEVICE FOR DETECTING LANE BY USING CNN AND TESTING METHOD, TESTING DEVICE USING THE SAME | September 2018 | December 2018 | Allow | 3 | 0 | 0 | Yes | No |
| 16120664 | LEARNING METHOD, LEARNING DEVICE FOR DETECTING OBJECT USING EDGE IMAGE AND TESTING METHOD, TESTING DEVICE USING THE SAME | September 2018 | November 2018 | Allow | 2 | 0 | 0 | Yes | No |
| 16102837 | METHOD AND APPARATUS FOR RECOMMENDING SAMPLE DATA | August 2018 | March 2023 | Allow | 55 | 1 | 0 | No | No |
| 16013768 | METHOD AND APPARATUS FOR IDENTIFYING VEHICLE INFORMATION FROM AN IMAGE | June 2018 | July 2019 | Allow | 13 | 2 | 0 | Yes | No |
| 16007924 | SYSTEM AND METHOD FOR AUTOMATICALLY DISCOVERING, CHARACTERIZING, CLASSIFYING AND SEMI-AUTOMATICALLY LABELING ANIMAL BEHAVIOR AND QUANTITATIVE PHENOTYPING OF BEHAVIORS IN ANIMALS | June 2018 | November 2021 | Allow | 41 | 4 | 0 | Yes | No |
| 15988592 | ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF | May 2018 | January 2020 | Allow | 20 | 4 | 0 | Yes | No |
| 15977140 | SYSTEMS AND METHODS FOR RISK ASSESSMENT AND TREATMENT PLANNING OF ARTERIO-VENOUS MALFORMATION | May 2018 | December 2018 | Allow | 8 | 1 | 0 | Yes | No |
| 15954335 | REMOTE DISTANCE ESTIMATION SYSTEM AND METHOD | April 2018 | May 2021 | Abandon | 37 | 2 | 0 | No | No |
| 15737019 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, PROGRAM, AND RECORDING MEDIUM | April 2018 | January 2021 | Allow | 37 | 2 | 0 | No | No |
| 15938914 | LOW FEATURE OBJECT DETECTION AND POSE ESTIMATION FOR IMAGE DATA STREAMS | March 2018 | April 2020 | Allow | 25 | 1 | 0 | No | No |
| 15926269 | SYSTEMS AND METHODS FOR IMAGE-FEATURE-BASED RECOGNITION | March 2018 | August 2019 | Allow | 17 | 1 | 0 | No | No |
| 15761038 | AUTOMATED STAIN FINDING IN PATHOLOGY BRIGHT-FIELD IMAGES | March 2018 | January 2021 | Allow | 34 | 4 | 0 | Yes | No |
| 15921054 | METHOD AND MEDICAL IMAGING APPARATUS FOR DETECTING ABNORMALITIES IN MEDICAL IMAGE DATA OF A REGION OF A PATIENT OUTSIDE OF A REGION TO BE EXAMINED | March 2018 | August 2021 | Abandon | 41 | 4 | 0 | No | No |
| 15920027 | Interaction Detection Model for Identifying Human-Object Interactions in Image Content | March 2018 | April 2021 | Allow | 37 | 1 | 0 | Yes | No |
| 15917841 | WATERMARK EMBEDDING METHOD AND APPARATUS | March 2018 | January 2022 | Abandon | 47 | 4 | 0 | No | No |
| 15914314 | IMAGE PROCESSING APPARATUS, CONTROL METHOD OF IMAGE PROCESSING APPARATUS, AND STORAGE MEDIUM | March 2018 | March 2021 | Allow | 36 | 3 | 0 | Yes | No |
| 15900905 | VEIN MATCHING FOR DIFFICULT BIOMETRIC AUTHENTICATION CASES | February 2018 | March 2020 | Allow | 24 | 4 | 0 | Yes | No |
| 15889757 | SYSTEMS AND METHODS FOR FOLLOW-UP FUNCTIONAL IMAGING | February 2018 | August 2020 | Allow | 30 | 1 | 0 | No | No |
| 15881261 | PROCESS FOR UPDATING TEMPLATES USED IN FACIAL RECOGNITION | January 2018 | August 2019 | Allow | 18 | 2 | 0 | Yes | No |
| 15879278 | Method For Reconstructing Joined Part Surfaces Of Two Adjacent Teeth Of A 3D Digital Model Of Teeth | January 2018 | May 2020 | Allow | 28 | 1 | 0 | Yes | No |
| 15877453 | CHIP RECOGNIZING AND LEARNING SYSTEM | January 2018 | August 2023 | Abandon | 60 | 6 | 0 | No | No |
| 15871758 | SYSTEM AND METHOD FOR MONITORING CROPS | January 2018 | November 2020 | Allow | 34 | 2 | 0 | Yes | No |
| 15851201 | PERSON COUNTING AREA SETTING METHOD, PERSON COUNTING AREA SETTING PROGRAM, MOVING LINE ANALYSIS SYSTEM, CAMERA DEVICE, AND PERSON COUNTING PROGRAM | December 2017 | September 2019 | Allow | 21 | 2 | 0 | Yes | No |
| 15826783 | SYSTEM AND METHOD FOR MAGNETIC RESONANCE IMAGING ACCELERATION | November 2017 | January 2022 | Allow | 49 | 3 | 1 | Yes | No |
| 15827725 | SYSTEMS AND METHODS FOR EMBOLISM PREDICTION USING EMBOLUS SOURCE AND DESTINATION PROBABILITIES | November 2017 | September 2019 | Allow | 22 | 4 | 0 | Yes | No |
| 15788400 | TERMINAL CONTROL SYSTEM, CONTROLLER, AND TERMINAL CONTROL METHOD | October 2017 | October 2020 | Abandon | 36 | 4 | 0 | No | No |
| 15616823 | METHOD AND APPARATUS FOR BLOCKING INFORMATION FROM AN IMAGE | June 2017 | July 2019 | Allow | 60 | 4 | 0 | Yes | No |
| 15606122 | Methods, Systems, and Apparatuses for Quantitative Analysis of Heterogeneous Biomarker Distribution | May 2017 | January 2020 | Allow | 31 | 1 | 0 | No | No |
| 15483700 | SYSTEM AND METHOD FOR PROVIDING AN INTERACTIVE SHOPPING EXPERIENCE VIA WEBCAM | April 2017 | July 2022 | Abandon | 60 | 13 | 0 | Yes | No |
| 15322911 | ORIENTATION ESTIMATION METHOD, AND ORIENTATION ESTIMATION DEVICE | December 2016 | January 2020 | Abandon | 37 | 1 | 0 | No | No |
| 15392599 | HEAD MOUNTED VIDEO AND TOUCH DETECTION FOR HEALTHCARE FACILITY HYGIENE | December 2016 | March 2020 | Allow | 39 | 2 | 0 | Yes | No |
| 15391952 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM | December 2016 | October 2019 | Abandon | 33 | 2 | 0 | No | No |
| 15391909 | DISTRIBUTED IMAGE COGNITION PROCESSING SYSTEM | December 2016 | October 2020 | Abandon | 45 | 4 | 0 | No | Yes |
| 15392817 | GAS LEAKAGE DETECTION METHOD | December 2016 | May 2020 | Abandon | 40 | 1 | 1 | No | No |
| 15393114 | CONTEXTUAL-BASED DISPLAY DEVICES AND METHODS OF OPERATING THE SAME | December 2016 | May 2020 | Abandon | 40 | 4 | 0 | No | No |
| 15393097 | USER-ADJUSTED DISPLAY DEVICES AND METHODS OF OPERATING THE SAME | December 2016 | February 2020 | Allow | 38 | 4 | 0 | No | No |
| 15322689 | PROJECTION OF HAZARDOUS ITEMS INTO X-RAY IMAGES OF INSPECTION OBJECTS | December 2016 | May 2019 | Allow | 29 | 1 | 0 | Yes | No |
| 15391205 | MOVING INFORMATION ANALYZING SYSTEM AND MOVING INFORMATION ANALYZING METHOD | December 2016 | September 2019 | Abandon | 33 | 2 | 0 | No | No |
| 15380014 | LARGE MARGIN HIGH-ORDER DEEP LEARNING WITH AUXILIARY TASKS FOR VIDEO-BASED ANOMALY DETECTION | December 2016 | June 2019 | Allow | 30 | 1 | 0 | No | No |
| 15310325 | METHOD AND SYSTEM FOR OBTAINING PAIR-WISE EPIPOLAR CONSTRAINTS AND SOLVING FOR PANORAMA POSE ON A MOBILE DEVICE | November 2016 | March 2021 | Allow | 52 | 5 | 0 | No | No |
| 15193782 | Systems and Methods for Deriving Spatial Attributes for Imaged Objects Utilizing Three-Dimensional Information | June 2016 | February 2019 | Allow | 31 | 2 | 0 | Yes | No |
| 15192603 | STOCHASTIC MAP-AWARE STEREO VISION SENSOR MODEL | June 2016 | January 2020 | Allow | 42 | 4 | 0 | Yes | No |
| 15192874 | MAP GENERATION BASED ON RAW STEREO VISION BASED MEASUREMENTS | June 2016 | June 2019 | Abandon | 36 | 2 | 0 | No | No |
| 15192944 | STOCHASTIC MAP GENERATION AND BAYESIAN UPDATE BASED ON STEREO VISION | June 2016 | June 2019 | Abandon | 36 | 2 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner SCHWARTZ, RAPHAEL M.
With a 0.0% reversal rate, the PTAB affirms the examiner's rejections in the vast majority of cases. This reversal rate is in the bottom 25% across the USPTO, indicating that appeals face significant challenges here.
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, 25.0% 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 SCHWARTZ, RAPHAEL M works in Art Unit 2661 and has examined 121 patent applications in our dataset. With an allowance rate of 75.2%, this examiner has a below-average tendency to allow applications. Applications typically reach final disposition in approximately 34 months.
Examiner SCHWARTZ, RAPHAEL M's allowance rate of 75.2% places them in the 42% percentile among all USPTO examiners. This examiner has a below-average tendency to allow applications.
On average, applications examined by SCHWARTZ, RAPHAEL M receive 2.62 office actions before reaching final disposition. This places the examiner in the 73% percentile for office actions issued. This examiner issues a slightly above-average number of office actions.
The median time to disposition (half-life) for applications examined by SCHWARTZ, RAPHAEL M is 34 months. This places the examiner in the 44% percentile for prosecution speed. Prosecution timelines are slightly slower than average with this examiner.
Conducting an examiner interview provides a +31.7% benefit to allowance rate for applications examined by SCHWARTZ, RAPHAEL M. This interview benefit is in the 79% percentile among all examiners. Recommendation: Interviews are highly effective with this examiner and should be strongly considered as a prosecution strategy. Per MPEP § 713.10, interviews are available at any time before the Notice of Allowance is mailed or jurisdiction transfers to the PTAB.
When applicants file an RCE with this examiner, 21.6% of applications are subsequently allowed. This success rate is in the 28% percentile among all examiners. Strategic Insight: RCEs show below-average effectiveness with this examiner. Carefully evaluate whether an RCE or continuation is the better strategy.
This examiner enters after-final amendments leading to allowance in 10.0% of cases where such amendments are filed. This entry rate is in the 11% percentile among all examiners. Strategic Recommendation: This examiner rarely enters after-final amendments compared to other examiners. You should generally plan to file an RCE or appeal rather than relying on after-final amendment entry. Per MPEP § 714.12, primary examiners have discretion in entering after-final amendments, and this examiner exercises that discretion conservatively.
When applicants request a pre-appeal conference (PAC) with this examiner, 0.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 11% percentile among all examiners. Note: Pre-appeal conferences show limited success with this examiner compared to others. While still worth considering, be prepared to proceed with a full appeal brief if the PAC does not result in favorable action.
This examiner withdraws rejections or reopens prosecution in 57.1% of appeals filed. This is in the 31% percentile among all examiners. Strategic Insight: This examiner shows below-average willingness to reconsider rejections during appeals. Be prepared to fully prosecute appeals if filed.
When applicants file petitions regarding this examiner's actions, 87.0% are granted (fully or in part). This grant rate is in the 87% percentile among all examiners. Strategic Note: Petitions are frequently granted regarding this examiner's actions compared to other examiners. Per MPEP § 1002.02(c), various examiner actions are petitionable to the Technology Center Director, including prematureness of final rejection, refusal to enter amendments, and requirement for information. If you believe an examiner action is improper, consider filing a petition.
Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 21% 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 29% percentile). This examiner issues Quayle actions less often than average. Allowances may 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.