Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 17139765 | PREDICTING TOTAL NUCLEIC ACID YIELD AND DISSECTION BOUNDARIES FOR HISTOLOGY SLIDES | December 2020 | January 2022 | Allow | 13 | 2 | 0 | Yes | No |
| 17139784 | PREDICTING TOTAL NUCLEIC ACID YIELD AND DISSECTION BOUNDARIES FOR HISTOLOGY SLIDES | December 2020 | January 2022 | Allow | 13 | 2 | 0 | Yes | No |
| 17139798 | PREDICTING TOTAL NUCLEIC ACID YIELD AND DISSECTION BOUNDARIES FOR HISTOLOGY SLIDES | December 2020 | January 2022 | Allow | 13 | 2 | 0 | Yes | No |
| 17254970 | A METHOD TO DETERMINE A DEGREE OF ABNORMALITY, A RESPECTIVE COMPUTER READABLE MEDIUM AND A DISTRIBUTED CANCER ANALYSIS SYSTEM | December 2020 | January 2024 | Allow | 37 | 1 | 0 | No | No |
| 17128365 | DYNAMIC QUANTIZATION FOR DEEP NEURAL NETWORK INFERENCE SYSTEM AND METHOD | December 2020 | October 2022 | Allow | 22 | 2 | 0 | No | No |
| 17120109 | ENHANCED VOLUME VIEWING | December 2020 | February 2021 | Allow | 2 | 1 | 1 | Yes | No |
| 17251744 | METHODS AND APPARATUS FOR FINE-GRAINED HIL INDEX DETERMINATION WITH ADVANCED SEMANTIC SEGMENTATION AND ADVERSARIAL TRAINING | December 2020 | September 2023 | Allow | 33 | 1 | 0 | No | No |
| 17251548 | CONTENT ANALYSIS | December 2020 | January 2024 | Allow | 37 | 2 | 0 | No | No |
| 17118401 | TERRESTRIAL WIRELESS POSITIONING IN LICENSED AND UNLICENSED FREQUENCY BANDS | December 2020 | May 2023 | Allow | 29 | 1 | 0 | No | No |
| 17112499 | DEPTH ESTIMATION AND COLOR CORRECTION METHOD FOR MONOCULAR UNDERWATER IMAGES BASED ON DEEP NEURAL NETWORK | December 2020 | February 2022 | Allow | 14 | 0 | 0 | No | No |
| 17107256 | RECOGNITION OF HANDWRITTEN TEXT VIA NEURAL NETWORKS | November 2020 | May 2023 | Allow | 30 | 1 | 0 | No | No |
| 17059967 | 3D OBJECT RECOGNITION USING 3D CONVOLUTIONAL NEURAL NETWORK WITH DEPTH BASED MULTI-SCALE FILTERS | November 2020 | September 2023 | Allow | 33 | 1 | 0 | No | No |
| 17099311 | SYSTEM AND METHODS FOR EXTRINSIC CALIBRATION OF CAMERAS AND DIFFRACTIVE OPTICAL ELEMENTS | November 2020 | June 2022 | Allow | 18 | 1 | 0 | No | No |
| 17089979 | EMBEDDING CONTEXTUAL INFORMATION IN AN IMAGE TO ASSIST UNDERSTANDING | November 2020 | December 2022 | Allow | 25 | 2 | 0 | Yes | No |
| 17079479 | MULTI-USER EXTENDED REALITY VIEWING TECHNIQUE | October 2020 | October 2022 | Allow | 24 | 4 | 0 | Yes | No |
| 17072035 | TRAINING AN ARTIFICIAL NEURAL NETWORK USING SIMULATED SPECIMEN IMAGES | October 2020 | January 2024 | Allow | 39 | 3 | 0 | Yes | No |
| 17072350 | OPTIMIZED IMAGING CONSULTING PROCESS FOR RARE IMAGING FINDINGS | October 2020 | March 2021 | Allow | 5 | 1 | 0 | Yes | No |
| 17067806 | Cuttings Imaging for Determining Geological Properties | October 2020 | May 2022 | Allow | 19 | 2 | 0 | No | No |
| 17039346 | FINE-GRAINED IMAGE RECOGNITION METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM | September 2020 | September 2022 | Allow | 23 | 0 | 0 | No | No |
| 17042993 | IDENTIFYING DIFFERENCES BETWEEN IMAGES | September 2020 | February 2024 | Abandon | 41 | 1 | 0 | No | No |
| 17033892 | METHOD AND APPARATUS FOR TANDEM VOLUME RENDERING | September 2020 | February 2021 | Allow | 4 | 1 | 0 | Yes | No |
| 17018461 | TEACHING GAN (GENERATIVE ADVERSARIAL NETWORKS) TO GENERATE PER-PIXEL ANNOTATION | September 2020 | August 2022 | Allow | 23 | 1 | 0 | No | No |
| 17005632 | METHOD FOR STEREO MATCHING USING END-TO-END CONVOLUTIONAL NEURAL NETWORK | August 2020 | February 2022 | Allow | 17 | 1 | 0 | Yes | No |
| 17002432 | ELECTRONIC DEVICE FOR RESOURCE-EFFICIENT OBJECT RECOGNITION USING ARTIFICIAL NEURAL NETWORK WITH LONG-RANGE CONNECTION AND OPERATING METHOD THEREOF | August 2020 | April 2022 | Allow | 19 | 1 | 0 | No | No |
| 17002164 | IMAGE PROCESSING METHOD AND DEVICE, AND STORAGE MEDIUM | August 2020 | June 2022 | Allow | 22 | 2 | 0 | No | No |
| 16997830 | ADVANCED HEAD DISPLAY UNIT FOR FIRE FIGHTERS | August 2020 | March 2022 | Allow | 19 | 1 | 0 | No | No |
| 16990154 | METHOD AND APPARATUS FOR IMPROVED MEDICAL IMAGING | August 2020 | October 2022 | Allow | 26 | 2 | 0 | Yes | No |
| 16985170 | MODEL TRAINING METHOD, STORAGE MEDIUM, AND COMPUTER DEVICE | August 2020 | July 2022 | Allow | 23 | 1 | 0 | Yes | No |
| 16942383 | IMAGE RECOGNITION METHOD, STORAGE MEDIUM AND COMPUTER DEVICE | July 2020 | December 2021 | Allow | 16 | 1 | 0 | No | No |
| 16938693 | METHOD AND DEVICE FOR TRAINING IMAGE RECOGNITION MODEL, AND STORAGE MEDIUM | July 2020 | June 2022 | Allow | 23 | 1 | 0 | No | No |
| 16936293 | VISUALIZATION OF IMAGES VIA AN ENHANCED EYE TRACKING SYSTEM | July 2020 | June 2022 | Allow | 23 | 1 | 0 | No | No |
| 16927886 | METHOD AND APPARATUS FOR GENERATING A PRECISION SUB-VOLUME WITHIN THREE-DIMENSIONAL IMAGE DATASETS | July 2020 | June 2022 | Allow | 23 | 1 | 0 | No | No |
| 16920667 | METHOD AND DEVICE OF ACQUIRING APPEARANCE MODEL, COMPUTER DEVICE AND STORAGE MEDIUM | July 2020 | November 2021 | Allow | 16 | 1 | 0 | No | No |
| 16918598 | DATASET DRIVEN CUSTOM LEARNING FOR MULTI-SCALE OBJECT DETECTION | July 2020 | May 2022 | Allow | 23 | 1 | 0 | No | No |
| 16917430 | METHOD , APPARATUS, AND STORAGE MEDIUM FOR ANNOTATING IMAGE | June 2020 | November 2021 | Allow | 17 | 1 | 0 | Yes | No |
| 16909511 | ELECTRONIC APPARATUS AND METHOD OF CONTROLLING THE SAME | June 2020 | June 2022 | Allow | 24 | 1 | 0 | No | No |
| 16907878 | METHOD FOR DETERMINING A CONFIDENCE VALUE OF A DETECTED OBJECT | June 2020 | October 2022 | Allow | 28 | 1 | 1 | Yes | No |
| 16903929 | MEDIA PROCESSING METHOD, RELATED APPARATUS, AND STORAGE MEDIUM | June 2020 | March 2022 | Allow | 21 | 1 | 0 | Yes | No |
| 16772358 | AUTOMATED SELECTION OF PRIORS FOR TRAINING OF DETECTION CONVOLUTIONAL NEURAL NETWORKS | June 2020 | January 2023 | Allow | 31 | 2 | 0 | Yes | No |
| 16897376 | METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR DETERMINING IF PROBE DATA POINTS HAVE BEEN MAP-MATCHED | June 2020 | September 2021 | Allow | 15 | 0 | 0 | No | No |
| 16889824 | METHOD AND IMAGE PROCESSING CIRCUIT FOR PERFORMING SEARCHING OPERATIONS REGARDING IMAGES | June 2020 | November 2021 | Allow | 18 | 1 | 0 | No | No |
| 16879758 | METHOD AND APPARATUS FOR PRIORITIZED VOLUME RENDERING | May 2020 | August 2020 | Allow | 2 | 1 | 0 | No | No |
| 16871070 | SYSTEMS AND METHODS FOR EVALUATING MEDICAL IMAGE | May 2020 | May 2022 | Allow | 24 | 2 | 0 | No | No |
| 16762853 | A METHOD FOR ESTIMATING THE POSE OF A CAMERA IN THE FRAME OF REFERENCE OF A THREE-DIMENSIONAL SCENE, DEVICE, AUGMENTED REALITY SYSTEM AND COMPUTER PROGRAM THEREFOR | May 2020 | May 2022 | Allow | 24 | 1 | 0 | No | No |
| 16866775 | NON-UNIFORM REGULARIZATION IN ARTIFICIAL NEURAL NETWORKS FOR ADAPTABLE SCALING | May 2020 | January 2023 | Allow | 32 | 1 | 0 | No | No |
| 16863969 | SYSTEMS AND METHODS FOR NEURONAL NETWORKS FOR ASSOCIATIVE GESTALT LEARNING | April 2020 | June 2024 | Abandon | 49 | 3 | 1 | No | No |
| 16760072 | CHANGE-AWARE PERSON IDENTIFICATION | April 2020 | December 2022 | Allow | 31 | 2 | 0 | No | No |
| 16858644 | METHOD FOR DETECTING STRUCTURAL SURFACE CRACKS BASED ON IMAGE FEATURES AND BAYESIAN DATA FUSION | April 2020 | June 2020 | Allow | 2 | 0 | 0 | No | No |
| 16857613 | HEAD REGION RECOGNITION METHOD AND APPARATUS, AND DEVICE | April 2020 | December 2021 | Allow | 20 | 1 | 0 | No | No |
| 16844844 | CODING AND MODULATION APPARATUS USING NON-UNIFORM CONSTELLATION | April 2020 | August 2022 | Allow | 28 | 2 | 0 | No | No |
| 16843401 | SYSTEMS AND METHODS FOR DETERMINING ORTHODONTIC TREATMENT | April 2020 | September 2020 | Allow | 6 | 1 | 0 | No | No |
| 16842631 | SMART SCROLLING SYSTEM | April 2020 | March 2021 | Allow | 12 | 2 | 0 | Yes | No |
| 16835109 | DEEP RECEPTIVE FIELD NETWORKS | March 2020 | March 2022 | Abandon | 24 | 1 | 0 | No | No |
| 16831742 | PORTABLE COMPUTING DEVICE INSTALLED IN OR MOUNTABLE TO A SHOPPING CART | March 2020 | August 2022 | Allow | 28 | 2 | 0 | No | No |
| 16830186 | DETERMINING BIOMARKERS FROM HISTOPATHOLOGY SLIDE IMAGES | March 2020 | October 2020 | Allow | 7 | 1 | 0 | No | No |
| 16825901 | SYSTEMS AND METHODS FOR PROMISSORY IMAGE CLASSIFICATION | March 2020 | August 2022 | Allow | 29 | 2 | 0 | No | No |
| 16820283 | System and Method for Communications Beam Recovery | March 2020 | November 2022 | Allow | 32 | 2 | 1 | No | No |
| 16815123 | LIDAR POINT SELECTION USING IMAGE SEGMENTATION | March 2020 | June 2022 | Allow | 28 | 2 | 0 | No | No |
| 16805664 | Contact Center Call Volume Prediction | February 2020 | September 2023 | Allow | 42 | 2 | 0 | Yes | No |
| 16790791 | QUALITY ASSESSMENT OF AN IMAGE | February 2020 | December 2021 | Allow | 22 | 1 | 0 | No | No |
| 16777258 | SEMANTIC PAGE SEGMENTATION OF VECTOR GRAPHICS DOCUMENTS | January 2020 | December 2021 | Allow | 23 | 0 | 0 | No | No |
| 16752174 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM PRODUCT | January 2020 | November 2022 | Allow | 34 | 1 | 0 | No | No |
| 16747063 | MODELING A GEOGRAPHICAL SPACE FOR A COMPUTER-GENERATED REALITY EXPERIENCE | January 2020 | July 2022 | Allow | 30 | 2 | 0 | Yes | No |
| 16741804 | COMPUTER VISION SYSTEM AND METHOD | January 2020 | December 2021 | Allow | 23 | 1 | 0 | Yes | No |
| 16736847 | COMPUTER AND IMAGE PROCESSING METHOD | January 2020 | January 2022 | Abandon | 25 | 1 | 0 | No | No |
| 16737144 | SELF-AWARE IMAGE SEGMENTATION METHODS AND SYSTEMS | January 2020 | February 2024 | Abandon | 49 | 4 | 0 | No | Yes |
| 16734995 | SYSTEM AND METHOD FOR COMBINING MIMO AND MODE-DIVISION MULTIPLEXING | January 2020 | March 2022 | Allow | 26 | 1 | 0 | No | No |
| 16732241 | IMAGE RETRIEVAL METHODS AND APPARATUSES, DEVICES, AND READABLE STORAGE MEDIA | December 2019 | October 2021 | Allow | 21 | 1 | 0 | No | No |
| 16732242 | ARTIFICIAL INTELLIGENCE SEGMENTATION OF TISSUE IMAGES | December 2019 | December 2020 | Allow | 11 | 1 | 0 | Yes | No |
| 16726964 | SYSTEMS AND METHODS FOR IMAGE RECONSTRUCTION | December 2019 | June 2022 | Allow | 30 | 1 | 1 | No | No |
| 16713748 | NETWORK STRUCTURE PROCESSING METHOD AND DEVICE AND RELATED PRODUCTS | December 2019 | September 2022 | Allow | 33 | 1 | 0 | No | No |
| 16702516 | ARTIFICIALLY INTELLIGENT UNIT-OF-ONE PATTERN CREATION FOR BESPOKE GARMENT FABRICATION | December 2019 | January 2022 | Allow | 26 | 1 | 0 | No | No |
| 16700162 | METHODS AND SYSTEMS FOR AUTOMATED TABLE DETECTION WITHIN DOCUMENTS | December 2019 | April 2022 | Allow | 28 | 3 | 0 | No | No |
| 16699772 | SYSTEM AND METHOD FOR DETERMINING COMPRESSION RATES FOR IMAGES COMPRISING TEXT | December 2019 | December 2021 | Allow | 25 | 2 | 0 | No | No |
| 16697294 | FREQUENCY OFFSET CORRECTION IN NARROWBAND MACHINE-TO-MACHINE | November 2019 | February 2022 | Abandon | 27 | 1 | 0 | No | No |
| 16694118 | POPULATION MODELING SYSTEM BASED ON MULTIPLE DATA SOURCES HAVING MISSING ENTRIES | November 2019 | October 2021 | Allow | 23 | 0 | 0 | Yes | No |
| 16683256 | METHOD AND APPARATUS FOR PERFORMING 3D IMAGING EXAMINATIONS OF A STRUCTURE UNDER DIFFERING CONFIGURATIONS AND ANALYZING MORPHOLOGIC CHANGES | November 2019 | June 2021 | Allow | 19 | 2 | 0 | Yes | No |
| 16675015 | USER TERMINAL HARDWARE DETECTION SYSTEM AND METHOD | November 2019 | November 2021 | Allow | 25 | 1 | 0 | No | No |
| 16669166 | TRANCEIVER CIRCUIT AND RECEIVER CIRCUIT | October 2019 | January 2021 | Allow | 14 | 0 | 0 | No | No |
| 16658529 | WEARABLE APPARATUS FOR ANALYZING GROUP DYNAMICS | October 2019 | August 2022 | Allow | 34 | 4 | 0 | No | No |
| 16571838 | WHITE BALANCE PROCESSING METHOD, ELECTRONIC DEVICE AND COMPUTER READABLE STORAGE MEDIUM | October 2019 | November 2019 | Allow | 2 | 0 | 0 | No | No |
| 16655514 | COMPUTERIZED RECOGNITION OF CHECKBOXES IN DIGITIZED DOCUMENTS | October 2019 | May 2021 | Allow | 19 | 0 | 0 | No | No |
| 16599753 | METHODS FOR CONFIGURABLE NON-ORTHOGONAL MULTIPLE ACCESS TRANSMISSION | October 2019 | September 2020 | Allow | 11 | 0 | 0 | No | No |
| 16597649 | APPARATUS AND METHOD FOR IDENTIFYING OBJECT | October 2019 | July 2021 | Allow | 21 | 1 | 0 | No | No |
| 16594139 | METHOD AND APPARATUS FOR PERFORMING 3D IMAGING EXAMINATIONS OF A STRUCTURE UNDER DIFFERING CONFIGURATIONS AND ANALYZING MORPHOLOGIC CHANGES | October 2019 | December 2020 | Allow | 14 | 4 | 0 | Yes | No |
| 16594024 | METHOD AND SYSTEM FOR PRODUCING DIGITAL IMAGE FEATURES | October 2019 | July 2021 | Allow | 21 | 1 | 0 | No | No |
| 16590943 | METHOD FOR ASSOCIATION OF ITEMS OF INTEREST VISIBLE IN A VIDEO | October 2019 | June 2021 | Allow | 20 | 1 | 0 | No | No |
| 16586766 | TERRESTRIAL WIRELESS POSITIONING IN LICENSED AND UNLICENSED FREQUENCY BANDS | September 2019 | September 2020 | Allow | 11 | 0 | 0 | No | No |
| 16583025 | IMAGE PROCESSING METHOD, APPARATUS, TERMINAL, AND STORAGE MEDIUM | September 2019 | July 2021 | Allow | 22 | 1 | 0 | Yes | No |
| 16580223 | INCREASING ROBUSTNESS OF COMPUTER VISION SYSTEMS TO ROTATIONAL VARIATION IN IMAGES | September 2019 | October 2021 | Allow | 25 | 2 | 0 | Yes | No |
| 16577355 | IMAGE SCALING WITH ENHANCED COMPRESSION | September 2019 | July 2021 | Allow | 21 | 1 | 0 | No | No |
| 16560046 | AUTOMATICALLY GENERATING TRAINING DATA FOR A LIDAR USING SIMULATED VEHICLES IN VIRTUAL SPACE | September 2019 | September 2021 | Abandon | 24 | 1 | 0 | No | No |
| 16489867 | GENERATING LABELED TRAINING IMAGES FOR USE IN TRAINING A COMPUTATIONAL NEURAL NETWORK FOR OBJECT OR ACTION RECOGNITION | August 2019 | October 2022 | Allow | 38 | 1 | 0 | No | No |
| 16550224 | TEXT EXTRACTION, IN PARTICULAR TABLE EXTRACTION FROM ELECTRONIC DOCUMENTS | August 2019 | May 2021 | Allow | 21 | 1 | 0 | Yes | No |
| 16548621 | IMAGE DESCRIPTION GENERATION METHOD, MODEL TRAINING METHOD, DEVICE AND STORAGE MEDIUM | August 2019 | November 2021 | Allow | 27 | 2 | 0 | Yes | No |
| 16545373 | OBJECT DETECTION DEVICE AND OBJECT DETECTION METHOD | August 2019 | May 2021 | Allow | 21 | 1 | 0 | No | No |
| 16545967 | IMAGE SUPER-RESOLUTION METHOD, IMAGE SUPER-RESOLUTION DEVICE, AND COMPUTER READABLE STORAGE MEDIUM | August 2019 | March 2021 | Allow | 19 | 1 | 0 | No | No |
| 16544532 | OBJECT DETECTION APPARATUS, OBJECT DETECTION METHOD, COMPUTER PROGRAM PRODUCT, AND MOVING OBJECT | August 2019 | May 2021 | Allow | 21 | 1 | 0 | No | No |
| 16535083 | INFORMATION PROCESSING APPARATUS AND NON-TRANSITORY COMPUTER READABLE MEDIUM | August 2019 | May 2021 | Allow | 21 | 1 | 0 | No | No |
| 16533813 | METHOD AND COMPUTING DEVICE FOR ADJUSTING REGION OF INTEREST | August 2019 | September 2021 | Allow | 25 | 2 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner VARNDELL, ROSS E.
With a 28.6% 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, 20.0% 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 VARNDELL, ROSS E works in Art Unit 2666 and has examined 238 patent applications in our dataset. With an allowance rate of 91.2%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 23 months.
Examiner VARNDELL, ROSS E's allowance rate of 91.2% places them in the 76% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by VARNDELL, ROSS E receive 1.41 office actions before reaching final disposition. This places the examiner in the 20% 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 VARNDELL, ROSS E is 23 months. This places the examiner in the 84% percentile for prosecution speed. Applications move through prosecution relatively quickly with this examiner.
Conducting an examiner interview provides a +9.7% benefit to allowance rate for applications examined by VARNDELL, ROSS E. This interview benefit is in the 42% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.
When applicants file an RCE with this examiner, 33.6% of applications are subsequently allowed. This success rate is in the 75% percentile among all examiners. Strategic Insight: RCEs show above-average effectiveness with this examiner. Consider whether your amendments or new arguments are strong enough to warrant an RCE versus filing a continuation.
This examiner enters after-final amendments leading to allowance in 43.8% 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, 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 46.2% of appeals filed. This is in the 12% percentile among all examiners. Of these withdrawals, 16.7% 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, 52.4% are granted (fully or in part). This grant rate is in the 50% percentile among all examiners. Strategic Note: Petitions show below-average success regarding this examiner's actions. Ensure you have a strong procedural basis before filing.
Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 22% 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 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.