Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18601010 | TEXT VERIFICATION DEVICE WITH BATTERY POWER SUPPLY | March 2024 | May 2024 | Allow | 2 | 0 | 0 | Yes | No |
| 18601050 | DIGITAL PEN WRITER VERIFICATION DEVICE | March 2024 | July 2024 | Allow | 4 | 0 | 0 | Yes | No |
| 18601130 | VERIFICATION SYSTEM FOR HANDWRITTEN ARABIC TEXT | March 2024 | May 2024 | Allow | 2 | 0 | 0 | Yes | No |
| 18600928 | WRITER VERIFICATION DEVICE FOR ARABIC HANDWRITING | March 2024 | May 2024 | Allow | 2 | 0 | 0 | Yes | No |
| 18601092 | WRITER VERIFICATION DEVICE HAVING IMAGING DEVICE | March 2024 | June 2024 | Allow | 3 | 0 | 0 | Yes | No |
| 18441242 | WRITER VERIFICATION METHOD FOR HANDWRITTEN CURSIVELY CONNECTED ARABIC | February 2024 | April 2024 | Allow | 2 | 0 | 0 | No | No |
| 18441179 | TEXT INDEPENDENT WRITER VERIFICATION DEVICE FOR HANDWRITTEN CURSIVELY CONNECTED ARABIC WORDS | February 2024 | April 2024 | Allow | 2 | 0 | 0 | No | No |
| 18552384 | VIDEO ANALYSIS PROGRAM | September 2023 | January 2024 | Allow | 4 | 0 | 0 | Yes | No |
| 18458556 | METHOD AND DATA PROCESSING SYSTEM FOR LOSSY IMAGE OR VIDEO ENCODING, TRANSMISSION AND DECODING | August 2023 | February 2024 | Allow | 6 | 1 | 0 | Yes | No |
| 18316317 | SEMANTIC LEARNING-BASED DOWN-SAMPLING METHOD OF POINT CLOUD DATA OF AIRCRAFT | May 2023 | July 2023 | Allow | 2 | 0 | 0 | No | No |
| 18056478 | IDENTIFYING LOCATION OF SHREDS ON AN IMAGED FORM | November 2022 | June 2024 | Abandon | 19 | 0 | 1 | No | No |
| 17968950 | TEXT INDEPENDENT WRITER VERIFICATION METHOD AND SYSTEM | October 2022 | January 2023 | Allow | 2 | 0 | 0 | Yes | No |
| 17805658 | Capture Guide for Digital Imagery of Material Swatches | June 2022 | January 2024 | Allow | 20 | 0 | 1 | Yes | No |
| 17735972 | SYSTEM AND PROCESS FOR REDUCING TIME OF TRANSMISSION FOR SINGLE-BAND, MULTIPLE-BAND OR HYPERSPECTRAL IMAGERY USING MACHINE LEARNING BASED COMPRESSION | May 2022 | October 2023 | Allow | 18 | 0 | 0 | No | No |
| 17701710 | TRAINING METHOD FOR VIDEO STABILIZATION AND IMAGE PROCESSING DEVICE USING THE SAME | March 2022 | August 2023 | Allow | 17 | 0 | 0 | Yes | No |
| 17698311 | DEVICE AND METHOD FOR CLASSIFYING BIOMETRIC AUTHENTICATION DATA | March 2022 | July 2023 | Allow | 16 | 0 | 0 | Yes | No |
| 17682124 | IMAGE CODING METHOD, IMAGE DECODING METHOD, IMAGE CODING APPARATUS, IMAGE DECODING APPARATUS, AND IMAGE CODING AND DECODING APPARATUS | February 2022 | May 2024 | Allow | 27 | 1 | 1 | Yes | No |
| 17537988 | DEVICE AND METHOD FOR CLASSIFYING BIOMETRIC AUTHENTICATION DATA | November 2021 | March 2022 | Allow | 3 | 0 | 0 | Yes | No |
| 17456566 | FACE IMAGE PROCESSING METHODS AND APPARATUSES, AND ELECTRONIC DEVICES | November 2021 | February 2023 | Abandon | 15 | 0 | 0 | No | No |
| 17534870 | VEHICLE DEVICE SETTING METHOD | November 2021 | September 2023 | Allow | 22 | 0 | 1 | Yes | No |
| 17532707 | SYSTEM AND METHOD FOR GENERATING PLAYER TRACKING DATA FROM BROADCAST VIDEO | November 2021 | July 2023 | Allow | 20 | 0 | 0 | Yes | No |
| 17503420 | METHOD AND APPARATUS FOR PERFORMING ARTIFICIAL INTELLIGENCE ENCODING AND ARTIFICIAL INTELLIGENCE DECODING | October 2021 | July 2023 | Allow | 21 | 0 | 0 | No | No |
| 17500184 | TRAINING OPTICAL CHARACTER DETECTION AND RECOGNITION MODELS FOR ROBOTIC PROCESS AUTOMATION | October 2021 | September 2023 | Allow | 23 | 0 | 1 | Yes | No |
| 17495050 | APPARATUS AND METHOD FOR PERFORMING ARTIFICIAL INTELLIGENCE (Al) ENCODING AND Al DECODING ON IMAGE | October 2021 | June 2023 | Allow | 20 | 0 | 0 | Yes | No |
| 17494429 | SYSTEM TO IDENTIFY AUTHORSHIP OF HANDWRITTEN TEXT BASED ON INDIVIDUAL ALPHABETS | October 2021 | April 2023 | Allow | 18 | 4 | 0 | Yes | No |
| 17490709 | DYNAMIC IMAGE RECOGNITION MODEL UPDATES | September 2021 | April 2024 | Allow | 30 | 3 | 0 | Yes | No |
| 17487728 | METHODS AND SYSTEMS FOR FACILITATING SECURE AUTHENTICATION OF USER BASED ON KNOWN DATA | September 2021 | April 2023 | Allow | 19 | 0 | 0 | No | No |
| 17477397 | METHOD AND SYSTEM FOR ANONYMIZING FACIAL IMAGES | September 2021 | March 2024 | Allow | 30 | 2 | 0 | Yes | No |
| 17472989 | INTEGRATED GAZE TRACKER AND OPERATION METHOD THEREOF | September 2021 | June 2024 | Allow | 33 | 0 | 0 | No | No |
| 17464119 | ELECTRONIC APPARATUS, CONTROL METHOD THEREOF AND ELECTRONIC SYSTEM | September 2021 | May 2022 | Allow | 8 | 0 | 1 | Yes | No |
| 17432907 | METHOD FOR CHARACTERIZING A DYNAMIC OCCUPANCY OF A SPACE BY TWO OPPOSING TEAMS OF A GAME AND RELATED SYSTEM | August 2021 | April 2024 | Allow | 31 | 0 | 0 | No | No |
| 17432832 | Detecting Cells of Interest in Large Image Datasets Using Artificial Intelligence | August 2021 | March 2024 | Allow | 30 | 0 | 1 | Yes | No |
| 17397296 | AUTOMATED DATA CAPTURE | August 2021 | March 2023 | Allow | 19 | 0 | 0 | No | No |
| 17379893 | TURBIDITY DETERMINATION USING COMPUTER VISION | July 2021 | February 2023 | Allow | 19 | 1 | 0 | No | No |
| 17421695 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING PROGRAM | July 2021 | November 2023 | Allow | 28 | 0 | 0 | Yes | No |
| 17365226 | SYSTEM AND METHOD FOR DENSE, LARGE SCALE SCENE RECONSTRUCTION | July 2021 | April 2023 | Allow | 21 | 0 | 1 | Yes | No |
| 17335910 | OBJECT TRACKING METHOD, TRACKING PROCESSING METHOD, CORRESPONDING APPARATUS, AND ELECTRONIC DEVICE | June 2021 | February 2024 | Allow | 32 | 1 | 0 | No | No |
| 17333845 | METHOD AND APPARATUS FOR PERFORMING ARTIFICIAL INTELLIGENCE ENCODING AND ARTIFICIAL INTELLIGENCE DECODING | May 2021 | November 2021 | Allow | 6 | 0 | 1 | Yes | No |
| 17323047 | METHODS AND SYSTEMS FOR FACILITATING SECURE AUTHENTICATION OF USER BASED ON KNOWN DATA | May 2021 | July 2021 | Allow | 2 | 0 | 0 | Yes | No |
| 17317746 | METHOD AND SYSTEM FOR ASSESSING VESSEL OBSTRUCTION BASED ON MACHINE LEARNING | May 2021 | February 2024 | Allow | 33 | 0 | 1 | Yes | No |
| 17302537 | SUPER RESOLUTION USING A GENERATIVE ADVERSARIAL NETWORK | May 2021 | August 2023 | Abandon | 27 | 1 | 0 | No | No |
| 17246147 | DATA RECOGNITION MODEL CONSTRUCTION APPARATUS AND METHOD FOR CONSTRUCTING DATA RECOGNITION MODEL THEREOF, AND DATA RECOGNITION APPARATUS AND METHOD FOR RECOGNIZING DATA THEREOF | April 2021 | October 2023 | Allow | 29 | 1 | 1 | Yes | No |
| 17237775 | APPARATUS AND METHOD FOR PERFORMING ARTIFICIAL INTELLIGENCE ENCODING AND DECODING ON IMAGE BY USING LOW-COMPLEXITY NEURAL NETWORK | April 2021 | August 2021 | Allow | 4 | 0 | 1 | Yes | No |
| 17232435 | METHOD OF COLOR DECOMPOSITION AND METHOD OF DEMOSAICING IMAGES BASED ON DEEP LEARNING USING THE SAME | April 2021 | August 2023 | Allow | 28 | 1 | 1 | No | No |
| 17309027 | Analyzing Complex Single Molecule Emission Patterns with Deep Learning | April 2021 | October 2023 | Allow | 30 | 0 | 1 | Yes | No |
| 17202546 | COMPUTER SCORING BASED ON PRIMARY STAIN AND IMMUNOHISTOCHEMISTRY IMAGES RELATED APPLICATION DATA | March 2021 | February 2023 | Allow | 23 | 0 | 0 | Yes | No |
| 17192480 | METHOD, APPARATUS, AND STORAGE MEDIUM USING PADDING/TRIMMING IN COMPRESSION NEURAL NETWORK | March 2021 | May 2023 | Allow | 26 | 0 | 1 | Yes | No |
| 17191483 | SYSTEM AND METHOD FOR BUILDING MACHINE LEARNING OR DEEP LEARNING DATA SETS FOR RECOGNIZING LABELS ON ITEMS | March 2021 | September 2023 | Allow | 30 | 0 | 0 | Yes | No |
| 17191642 | SINGLE DEPTH TRACKED ACCOMMODATION-VERGENCE SOLUTIONS | March 2021 | January 2023 | Allow | 23 | 0 | 0 | Yes | No |
| 17184408 | SYSTEMS AND METHODS FOR IMPROVED OPERATIONS OF SKI LIFTS | February 2021 | November 2022 | Allow | 20 | 0 | 0 | No | No |
| 17184415 | SYSTEMS AND METHODS FOR IMPROVED OPERATIONS OF SKI LIFTS | February 2021 | January 2023 | Allow | 23 | 0 | 0 | No | No |
| 17184404 | SYSTEMS AND METHODS FOR IMPROVED OPERATIONS OF SKI LIFTS | February 2021 | October 2022 | Allow | 20 | 0 | 0 | No | No |
| 17184412 | SYSTEMS AND METHODS FOR IMPROVED OPERATIONS OF SKI LIFTS | February 2021 | November 2022 | Allow | 21 | 0 | 0 | No | No |
| 17184413 | SYSTEMS AND METHODS FOR IMPROVED OPERATIONS OF SKI LIFTS | February 2021 | January 2023 | Allow | 22 | 0 | 0 | No | No |
| 17180358 | APPARATUS AND METHOD FOR PERFORMING ARTIFICIAL INTELLIGENCE (AI) ENCODING AND AI DECODING ON IMAGE | February 2021 | June 2021 | Allow | 4 | 0 | 1 | Yes | No |
| 17249049 | CALIBRATING CAMERAS USING HUMAN SKELETON | February 2021 | August 2023 | Allow | 30 | 1 | 1 | Yes | No |
| 17172482 | SPHERE POLE PROJECTIONS FOR EFFICIENT COMPRESSION OF 360-DEGREE VIDEO | February 2021 | June 2023 | Allow | 28 | 1 | 0 | Yes | No |
| 17257261 | POSTURE DETECTION METHOD, APPARATUS AND DEVICE, AND STORAGE MEDIUM | December 2020 | May 2021 | Allow | 5 | 0 | 0 | Yes | No |
| 17130254 | SYSTEM AND METHOD FOR CLASSIFYING IMAGE DATA | December 2020 | January 2023 | Allow | 24 | 5 | 0 | Yes | No |
| 17114586 | GENERALIZABLE MEDICAL IMAGE ANALYSIS USING SEGMENTATION AND CLASSIFICATION NEURAL NETWORKS | December 2020 | December 2023 | Allow | 36 | 2 | 0 | Yes | No |
| 17075511 | SYSTEM AND METHOD OF CHARACTER RECOGNITION USING FULLY CONVOLUTIONAL NEURAL NETWORKS WITH ATTENTION | October 2020 | March 2023 | Allow | 28 | 1 | 0 | Yes | No |
| 17075513 | SYSTEM AND METHOD OF CHARACTER RECOGNITION USING FULLY CONVOLUTIONAL NEURAL NETWORKS WITH ATTENTION | October 2020 | September 2023 | Allow | 35 | 2 | 0 | Yes | No |
| 17075207 | UTILIZING A MACHINE LEARNING MODEL TRAINED TO DETERMINE SUBTLE POSE DIFFERENTIATIONS TO AUTOMATICALLY CAPTURE DIGITAL IMAGES | October 2020 | January 2023 | Allow | 27 | 2 | 1 | Yes | No |
| 17063350 | CAMERA ENVIRONMENT MAPPING | October 2020 | April 2024 | Allow | 42 | 4 | 0 | Yes | No |
| 17019657 | METHOD AND APPARATUS WITH QUANTIZED IMAGE GENERATION | September 2020 | May 2024 | Allow | 44 | 5 | 0 | Yes | No |
| 16979187 | ANGLE INTERFERENCE RESISTANT AND OCCLUSION INTERFERENCE RESISTANT FAST FACE RECOGNITION METHOD | September 2020 | March 2022 | Allow | 19 | 0 | 0 | No | No |
| 17010646 | Method Apparatus and System for Generating a Neural Network and Storage Medium Storing Instructions | September 2020 | June 2023 | Allow | 34 | 2 | 0 | Yes | No |
| 17005144 | Certifiably Robust Interpretation | August 2020 | February 2023 | Allow | 29 | 2 | 0 | Yes | No |
| 16997364 | MITIGATING PEOPLE DISTRACTORS IN IMAGES | August 2020 | May 2023 | Allow | 33 | 3 | 0 | Yes | No |
| 16941396 | Biometric Aware Object Detection and Tracking | July 2020 | February 2022 | Allow | 19 | 0 | 0 | No | No |
| 16935900 | SYSTEM AND METHOD OF PROVIDING RECOMMENDATIONS OF MOMENTS OF INTEREST WITHIN VIDEO CLIPS POST CAPTURE | July 2020 | November 2022 | Abandon | 28 | 2 | 0 | Yes | No |
| 16927538 | VIDEO TARGET TRACKING | July 2020 | September 2022 | Allow | 26 | 2 | 0 | Yes | No |
| 16921812 | System and Method for Generation of Wafer Inspection Critical Areas | July 2020 | March 2022 | Allow | 20 | 1 | 0 | No | No |
| 16919188 | LOW PROBABILITY TRANSITIONS AND BOUNDARY CROSSING INTO DISALLOWED STATES FOR A MORE OPTIMAL SOLUTION | July 2020 | February 2022 | Allow | 19 | 1 | 0 | No | No |
| 16919311 | ATTRIBUTE RECOGNITION SYSTEM, LEARNING SERVER AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM | July 2020 | September 2022 | Allow | 26 | 1 | 1 | Yes | No |
| 16911937 | VIDEO FRAME SEGMENTATION USING REDUCED RESOLUTION NEURAL NETWORK AND MASKS FROM PREVIOUS FRAMES | June 2020 | January 2023 | Allow | 31 | 2 | 1 | Yes | No |
| 16886637 | RECOGNITION APPARATUS, RECOGNITION METHOD, AND RECOGNITION PROGRAM | May 2020 | November 2021 | Allow | 17 | 0 | 0 | Yes | No |
| 16884204 | METHOD AND APPARATUS FOR CHILD STATE ANALYSIS, VEHICLE, ELECTRONIC DEVICE, AND STORAGE MEDIUM | May 2020 | April 2022 | Allow | 23 | 2 | 0 | No | No |
| 16882692 | TRAINING METHOD FOR VIDEO STABILIZATION AND IMAGE PROCESSING DEVICE USING THE SAME | May 2020 | February 2022 | Allow | 20 | 0 | 0 | Yes | No |
| 16879736 | HAND POSE ESTIMATION | May 2020 | March 2023 | Allow | 34 | 4 | 1 | Yes | No |
| 16876294 | METHOD FOR PROCESSING IMAGE USING FULLY CONNECTED CONVOLUTIONAL NEURAL NETWORK AND CIRCUIT SYSTEM | May 2020 | April 2022 | Allow | 23 | 2 | 0 | Yes | No |
| 16867651 | HAND GESTURE HABIT FORMING | May 2020 | December 2021 | Allow | 20 | 0 | 1 | Yes | No |
| 16865878 | METHODS AND APPARATUS FOR FALSE POSITIVE MINIMIZATION IN FACIAL RECOGNITION APPLICATIONS | May 2020 | December 2021 | Allow | 19 | 0 | 1 | No | No |
| 16859936 | HANDWRITTEN TEXT RECOGNITION | April 2020 | April 2022 | Allow | 24 | 2 | 0 | Yes | No |
| 16858234 | ADAPTIVE IMAGE ENHANCEMENT | April 2020 | October 2021 | Allow | 18 | 0 | 1 | Yes | No |
| 16855063 | CONVOLUTIONAL NEURAL NETWORK PROCESSOR, IMAGE PROCESSING METHOD AND ELECTRONIC DEVICE | April 2020 | August 2021 | Allow | 16 | 0 | 0 | No | No |
| 16829203 | ROBUST OBJECT DETECTION AND CLASSIFICATION USING STATIC-BASED CAMERAS AND EVENTS-BASED CAMERAS. | March 2020 | June 2022 | Allow | 26 | 2 | 0 | Yes | No |
| 16817102 | VEHICLE PASSENGER DETECTION SYSTEM AND METHOD | March 2020 | May 2021 | Allow | 14 | 0 | 0 | No | No |
| 16805086 | SYSTEM AND METHOD FOR GENERATING PLAYER TRACKING DATA FROM BROADCAST VIDEO | February 2020 | July 2021 | Allow | 17 | 0 | 0 | No | No |
| 16798018 | VIDEO PROCESSING METHOD AND APPARATUS BASED ON AUGMENTED REALITY, AND ELECTRONIC DEVICE | February 2020 | January 2021 | Allow | 11 | 2 | 0 | Yes | No |
| 16637960 | ACTION LOCALIZATION IN IMAGES AND VIDEOS USING RELATIONAL FEATURES | February 2020 | July 2021 | Allow | 17 | 0 | 0 | Yes | No |
| 16781657 | FORM OF ARTIFICIAL INTELLIGENCE AND TRAINING METHOD THEREOF | February 2020 | January 2022 | Abandon | 23 | 1 | 0 | No | No |
| 16781840 | SYSTEM AND PROCESS FOR REDUCING TIME OF TRANSMISSION FOR SINGLE-BAND, MULTIPLE-BAND OR HYPERSPECTRAL IMAGERY USING MACHINE LEARNING BASED COMPRESSION | February 2020 | March 2022 | Allow | 25 | 2 | 0 | Yes | No |
| 16775180 | METHODS AND SYSTEMS FOR TUNING A STATIC MODEL | January 2020 | February 2024 | Allow | 49 | 3 | 1 | Yes | No |
| 16773715 | HIGH FIDELITY INTERACTIVE SEGMENTATION FOR VIDEO DATA WITH DEEP CONVOLUTIONAL TESSELLATIONS AND CONTEXT AWARE SKIP CONNECTIONS | January 2020 | June 2023 | Allow | 41 | 0 | 1 | Yes | No |
| 16629858 | Method for Analyzing Polymer Membrane | January 2020 | June 2021 | Allow | 17 | 0 | 0 | Yes | No |
| 16722304 | METHOD AND APPARATUS FOR GAZE ESTIMATION | December 2019 | July 2022 | Allow | 31 | 3 | 0 | Yes | No |
| 16718720 | DEVICE AND METHOD FOR ELECTROMAGNETIC FIELD SIMULATION | December 2019 | September 2021 | Allow | 21 | 0 | 1 | Yes | No |
| 16712843 | BIOMETRIC IDENTIFICATION TECHNIQUES | December 2019 | February 2023 | Abandon | 38 | 4 | 0 | Yes | No |
| 16712854 | BIOMETRIC IDENTIFICATION AND HEALTH STATUS DETERMINATION | December 2019 | February 2023 | Abandon | 39 | 3 | 1 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner ROZ, MARK.
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, 40.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is above the USPTO average, suggesting that filing an appeal can be an effective strategy for prompting reconsideration.
✓ 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 ROZ, MARK works in Art Unit 2669 and has examined 417 patent applications in our dataset. With an allowance rate of 75.1%, this examiner has a below-average tendency to allow applications. Applications typically reach final disposition in approximately 30 months.
Examiner ROZ, MARK's allowance rate of 75.1% places them in the 40% percentile among all USPTO examiners. This examiner has a below-average tendency to allow applications.
On average, applications examined by ROZ, MARK receive 1.90 office actions before reaching final disposition. This places the examiner in the 46% percentile for office actions issued. This examiner issues fewer office actions than average, which may indicate efficient prosecution or a more lenient examination style.
The median time to disposition (half-life) for applications examined by ROZ, MARK is 30 months. This places the examiner in the 60% percentile for prosecution speed. Prosecution timelines are slightly faster than average with this examiner.
Conducting an examiner interview provides a +18.1% benefit to allowance rate for applications examined by ROZ, MARK. This interview benefit is in the 60% percentile among all examiners. Recommendation: Interviews provide an above-average benefit with this examiner and are worth considering.
When applicants file an RCE with this examiner, 24.4% of applications are subsequently allowed. This success rate is in the 36% 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 14.9% of cases where such amendments are filed. This entry rate is in the 16% 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, 66.7% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 54% 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 78.9% of appeals filed. This is in the 71% percentile among all examiners. Of these withdrawals, 53.3% 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, 58.2% are granted (fully or in part). This grant rate is in the 61% percentile among all examiners. Strategic Note: Petitions show above-average success regarding this examiner's actions. Petitionable matters include restriction requirements (MPEP § 1002.02(c)(2)) and various procedural issues.
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 0.0% of allowed cases (in the 28% 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.