Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18909470 | Training Data for Training Artificial Intelligence Agents to Automate Multimodal Software Usage | October 2024 | November 2025 | Allow | 14 | 2 | 1 | Yes | No |
| 18904505 | METHODS AND APPARATUS TO ANALYZE AN IMAGE OF A PORTION OF AN ITEM FOR A PATTERN INDICATING AUTHENTICITY OF THE ITEM | October 2024 | June 2025 | Allow | 8 | 1 | 1 | No | No |
| 18807093 | SYSTEMS AND METHODS FOR IMAGE SEGMENTATION | August 2024 | May 2025 | Allow | 9 | 1 | 1 | Yes | No |
| 18645343 | AUTOMATIC LISTING GENERATION FOR MULTIPLE ITEMS | April 2024 | November 2025 | Allow | 18 | 2 | 0 | Yes | No |
| 18632397 | SYSTEM AND METHOD FOR MATCHING A VOICE SAMPLE TO A FACIAL IMAGE BASED ON VOICE AND IMAGE METAPROPERTIES | April 2024 | September 2024 | Allow | 5 | 1 | 0 | Yes | No |
| 18632078 | USING TWO-DIMENSIONAL IMAGES AND MACHINE LEARNING TO IDENTIFY INFORMATION PERTAINING TO EYE SHAPE | April 2024 | November 2025 | Allow | 19 | 3 | 1 | Yes | No |
| 18618982 | BALANCED GENERATIVE IMAGE MODEL TRAINING | March 2024 | May 2024 | Allow | 2 | 0 | 0 | No | No |
| 18424915 | DYEING EFFECT PREDICTION METHOD, TRAINING METHOD OF DYEING EFFECT PREDICTION MODEL, ELECTRONIC DEVICE AND STORAGE MEDIUM | January 2024 | April 2024 | Abandon | 2 | 0 | 0 | No | No |
| 18575813 | FACIAL RECOGNITION METHOD AND APPARATUS, DEVICE AND STORAGE MEDIUM | December 2023 | November 2024 | Allow | 11 | 1 | 0 | Yes | No |
| 18393111 | MULTI-MODAL COMPUTER-AIDED DIAGNOSIS SYSTEMS AND METHODS FOR PROSTATE CANCER | December 2023 | September 2024 | Allow | 9 | 1 | 0 | No | No |
| 18530287 | DYEING EFFECT PREDICTION METHOD, TRAINING METHOD OF DYEING EFFECT PREDICTION MODEL, ELECTRONIC DEVICE AND STORAGE MEDIUM | December 2023 | May 2024 | Allow | 5 | 0 | 0 | Yes | No |
| 18508456 | METHOD FOR CREATING BLACK-AND-WHITE PHOTO THAT IMITATES EXPERT RETOUCHING STYLES | November 2023 | March 2026 | Allow | 28 | 1 | 0 | No | No |
| 18555654 | MATERIALS AND METHODS RELATED TO IMAGE PROCESSING | October 2023 | January 2026 | Allow | 27 | 1 | 0 | No | No |
| 18371853 | IMAGE PRE-PROCESSING FOR OVERLAY METROLOGY USING DECOMPOSITION TECHNIQUES | September 2023 | April 2024 | Allow | 7 | 0 | 0 | Yes | No |
| 18243223 | RELOCATION MODULE AND METHODS FOR SURGICAL EQUIPMENT | September 2023 | August 2024 | Abandon | 11 | 1 | 0 | No | No |
| 18456723 | IMAGE ENCODING/DECODING METHOD AND DEVICE | August 2023 | August 2024 | Allow | 11 | 1 | 0 | Yes | No |
| 18214145 | System for Estimating a Three Dimensional Pose of One or More Persons in a Scene | June 2023 | February 2025 | Allow | 20 | 3 | 0 | Yes | No |
| 18212325 | COLLECTION OF IMAGE DATA FOR USE IN TRAINING A MACHINE-LEARNING MODEL | June 2023 | November 2025 | Allow | 29 | 0 | 0 | No | No |
| 18255780 | CORONARY ARTERY STENT PREDICTION METHOD, DEVICE, AND RECORDING MEDIUM USING DEEP LEARNING BASED ON ULTRASOUND IMAGE | June 2023 | March 2026 | Allow | 33 | 1 | 0 | Yes | No |
| 18328597 | MULTIMODAL VIDEO SUMMARIZATION | June 2023 | January 2026 | Allow | 31 | 1 | 0 | Yes | No |
| 18325182 | DATA AUGMENTATION FOR OCCLUSION HANDLING IN FEATURE EXTRACTION | May 2023 | October 2025 | Allow | 29 | 1 | 0 | No | No |
| 18318654 | METHOD AND SYSTEM FOR OPTIMIZING OPTICAL INSPECTION OF PATTERNED STRUCTURES | May 2023 | December 2024 | Abandon | 19 | 2 | 0 | No | No |
| 18252382 | METHOD FOR INSPECTING HOLLOW GLASS PRODUCTS OF GLASS PRODUCT MATERIAL | May 2023 | February 2026 | Allow | 33 | 1 | 0 | Yes | No |
| 18304349 | GREEN COFFEE BEAN IDENTIFICATION METHOD AND GREEN COFFEE BEAN IDENTIFICATION SYSTEM | April 2023 | January 2026 | Allow | 32 | 1 | 0 | Yes | No |
| 18247308 | COMPUTING PLATFORM USING MACHINE LEARNING FOR FOREGROUND MASK ESTIMATION | March 2023 | October 2023 | Allow | 6 | 1 | 0 | No | No |
| 18121738 | OBJECT RECOGNITION BASED IMAGE OVERLAYS | March 2023 | March 2024 | Allow | 12 | 1 | 0 | Yes | No |
| 18168530 | AUTOMATIC MULTI-PLATE RECOGNITION | February 2023 | January 2024 | Allow | 11 | 2 | 0 | Yes | No |
| 18064883 | AUTOMATIC LICENSE PLATE RECOGNITION | December 2022 | December 2023 | Allow | 12 | 2 | 0 | No | No |
| 18009783 | Pattern Matching Device, Pattern Measuring System, Pattern Matching Program | December 2022 | December 2025 | Allow | 36 | 1 | 0 | No | No |
| 18064074 | DETERMINATION OF POSITION OF A HEAD-MOUNTED DEVICE ON A USER | December 2022 | September 2025 | Abandon | 33 | 3 | 0 | Yes | No |
| 18070337 | INFRARED RESOLUTION AND CONTRAST ENHANCEMENT WITH FUSION | November 2022 | August 2025 | Allow | 33 | 4 | 0 | Yes | No |
| 17977823 | DETERMINING LANES FROM DRIVABLE AREA | October 2022 | July 2024 | Allow | 21 | 4 | 0 | Yes | No |
| 17969631 | MACHINE LEARNING MODEL TRAINING METHOD AND DEVICE, AND EXPRESSION IMAGE CLASSIFICATION METHOD AND DEVICE | October 2022 | May 2024 | Allow | 19 | 1 | 0 | Yes | No |
| 17819861 | VIDEO TRANSMISSION METHOD, ELECTRONIC DEVICE AND COMPUTER READABLE MEDIUM | August 2022 | March 2025 | Allow | 31 | 6 | 0 | No | No |
| 17818745 | METHOD FOR ANNOTATION BASED ON DEEP LEARNING | August 2022 | July 2023 | Allow | 11 | 1 | 0 | No | No |
| 17814373 | DEVICES, SYSTEMS, AND METHODS FOR ANOMALY DETECTION | July 2022 | July 2025 | Allow | 36 | 1 | 0 | Yes | No |
| 17871786 | AUTOMATIC LICENSE PLATE RECOGNITION | July 2022 | September 2022 | Allow | 2 | 0 | 0 | Yes | No |
| 17814083 | SYSTEM AND METHOD FOR ACQUIRING OPTOACOUSTIC DATA AND PRODUCING PARAMETRIC MAPS THEREOF | July 2022 | November 2024 | Allow | 28 | 1 | 0 | Yes | No |
| 17865249 | ENCODING ELECTROCARDIOGRAPHIC DATA | July 2022 | September 2025 | Allow | 38 | 1 | 0 | Yes | No |
| 17811208 | ENHANCED FLIGHT VISION SYSTEM | July 2022 | April 2025 | Allow | 34 | 1 | 0 | No | No |
| 17789323 | Verification of the Authenticity of Images Using a Decoding Neural Network | June 2022 | December 2024 | Allow | 29 | 1 | 0 | Yes | No |
| 17835357 | METHODS AND DEVICES FOR OBJECT TRACKING APPLICATIONS | June 2022 | February 2026 | Allow | 44 | 3 | 0 | No | No |
| 17740402 | SYSTEMS AND METHODS FOR COLOR AGNOSTIC MATERIAL FACE DETECTION | May 2022 | August 2025 | Abandon | 40 | 0 | 1 | No | No |
| 17658979 | OBJECT DETECTION DEVICE, OBJECT DETECTION METHOD, AND STORAGE MEDIUM | April 2022 | July 2025 | Allow | 39 | 4 | 0 | Yes | No |
| 17712153 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD ESTIMATING LINE OF SIGHT | April 2022 | May 2025 | Abandon | 37 | 2 | 0 | Yes | No |
| 17762885 | CONTAINER MEASUREMENT SYSTEM | March 2022 | February 2025 | Allow | 35 | 1 | 0 | Yes | No |
| 17699015 | METHODS OF MANUFACTURING AND INSPECTING CUSTOMIZED DENTAL APPLIANCES | March 2022 | December 2022 | Allow | 9 | 0 | 0 | No | No |
| 17699013 | METHODS FOR MANUFACTURING AND INSPECTING ORTHODONTIC ALIGNERS | March 2022 | February 2025 | Allow | 35 | 1 | 0 | Yes | No |
| 17693402 | INSTRUMENT IDENTIFICATION METHOD AND INSTRUMENT IDENTIFICATION SYSTEM | March 2022 | March 2025 | Abandon | 36 | 1 | 0 | No | No |
| 17688570 | COMPUTER-VISION BASED WORKPLACE SAFETY | March 2022 | May 2025 | Allow | 38 | 2 | 0 | Yes | No |
| 17686257 | IMAGE SEGMENTATION WITH OBJECT BOUNDARY REFINEMENT | March 2022 | May 2025 | Allow | 38 | 1 | 0 | Yes | No |
| 17681395 | OBJECT RECOGNITION BASED IMAGE OVERLAYS | February 2022 | January 2023 | Allow | 10 | 0 | 0 | Yes | No |
| 17635108 | Text Based Image Search | February 2022 | January 2025 | Allow | 36 | 1 | 0 | Yes | No |
| 17669399 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM | February 2022 | May 2025 | Allow | 39 | 2 | 1 | Yes | No |
| 17669587 | METHODS AND SYSTEMS FOR IDENTIFYING INTERNAL CONDITIONS IN JUVENILE FISH THROUGH NON-INVASIVE MEANS | February 2022 | June 2023 | Allow | 16 | 1 | 0 | Yes | No |
| 17666659 | AI-BASED HEAT MAP GENERATING SYSTEM AND METHODS FOR USE THEREWITH | February 2022 | December 2022 | Allow | 11 | 0 | 0 | No | No |
| 17666813 | AI-BASED MULTI-LABEL HEAT MAP GENERATING SYSTEM AND METHODS FOR USE THEREWITH | February 2022 | October 2022 | Allow | 9 | 0 | 0 | Yes | No |
| 17579367 | Computer-Implemented Method of Self-Supervised Learning in Neural Network for Robust and Unified Estimation of Monocular Camera Ego-Motion and Intrinsics | January 2022 | May 2024 | Allow | 28 | 1 | 0 | No | No |
| 17577605 | FACILITATING IDENTIFICATION OF FILLABLE REGIONS IN A FORM | January 2022 | December 2025 | Allow | 47 | 3 | 0 | Yes | No |
| 17648090 | UPSCALING OF FORMATION PETROPHYSICAL CHARACTERISTICS TO A WHOLE CORE SCALE | January 2022 | March 2024 | Allow | 26 | 0 | 0 | Yes | No |
| 17623714 | FEEDBACKWARD DECODER FOR PARAMETER EFFICIENT SEMANTIC IMAGE SEGMENTATION | December 2021 | November 2024 | Abandon | 35 | 1 | 0 | No | No |
| 17557262 | METHOD OF DISTINGUISHING OBJECTS IN IMAGES, COMPUTING DEVICE, AND STORAGE MEDIUM | December 2021 | July 2024 | Allow | 30 | 1 | 0 | No | No |
| 17530711 | NON-INVASIVE RADIOMIC SIGNATURE TO PREDICT RESPONSE TO SYSTEMIC TREATMENT IN SMALL CELL LUNG CANCER (SCLC) | November 2021 | October 2025 | Abandon | 47 | 2 | 1 | Yes | No |
| 17531230 | VEHICLE LIGHT CLASSIFICATION SYSTEM | November 2021 | August 2025 | Allow | 45 | 3 | 0 | Yes | No |
| 17502713 | VENUE ENTRY PAYMENT SYSTEM FOR VEHICLES | October 2021 | June 2025 | Allow | 44 | 2 | 1 | Yes | No |
| 17493682 | METHODS OF MANUFACTURING AND ASSESSING ORTHODONTIC ALIGNERS | October 2021 | January 2022 | Allow | 4 | 0 | 0 | Yes | No |
| 17487455 | IMAGE STITCHING APPARATUS, IMAGE PROCESSING CHIP AND IMAGE STITCHING METHOD | September 2021 | February 2025 | Abandon | 41 | 2 | 0 | No | No |
| 17487791 | MEASUREMENT METHOD, MEASUREMENT DEVICE, AND RECORDING MEDIUM | September 2021 | March 2026 | Allow | 54 | 4 | 0 | Yes | No |
| 17442937 | METHOD FOR FULLY AUTOMATICALLY DETECTING CHESSBOARD CORNER POINTS | September 2021 | June 2024 | Allow | 33 | 1 | 0 | Yes | No |
| 17403929 | SYSTEMS AND METHODS FOR AUTOMATED ANALYSIS OF MEDICAL IMAGES | August 2021 | September 2023 | Allow | 25 | 2 | 0 | Yes | No |
| 17377911 | AUTO QUALIFICATION DEVICE AND AUTO QUALIFICATION METHOD | July 2021 | August 2024 | Allow | 37 | 1 | 1 | Yes | No |
| 17366274 | Method and Apparatus for Quantitative Hemodynamic Flow Analysis | July 2021 | August 2024 | Allow | 38 | 1 | 0 | Yes | No |
| 17354734 | METHOD, APPARATUS, DEVICE AND STORAGE MEDIUM FOR PROCESSING IMAGE | June 2021 | June 2024 | Abandon | 36 | 1 | 0 | No | No |
| 17350234 | LOW POWER BASELINE TRACKING FOR FINGERPRINT SENSOR | June 2021 | September 2022 | Allow | 15 | 0 | 0 | Yes | No |
| 17413429 | IMAGE PROCESSING DEVICE, METHOD, AND PROGRAM | June 2021 | March 2024 | Allow | 33 | 1 | 0 | No | No |
| 17321479 | ANTI-SPOOFING 3D FACE RECONSTRUCTION USING INFRARED STRUCTURE LIGHT | May 2021 | May 2024 | Abandon | 36 | 1 | 0 | Yes | No |
| 17316487 | FACE LOCATION TRACKING METHOD, APPARATUS, AND ELECTRONIC DEVICE | May 2021 | May 2022 | Allow | 12 | 3 | 0 | Yes | No |
| 17225574 | METHOD AND APPARATUS FOR GENERATING DEPTH IMAGE | April 2021 | August 2024 | Allow | 40 | 2 | 1 | Yes | No |
| 17203645 | METHODS, SYSTEMS AND COMPUTER MEDIUM FOR SCENE-ADAPTIVE FUTURE DEPTH PREDICTION IN MONOCULAR VIDEOS | March 2021 | March 2024 | Allow | 36 | 2 | 0 | No | No |
| 17196343 | METHOD, DEVICE AND SYSTEM FOR FAULT DETECTION | March 2021 | August 2021 | Allow | 6 | 1 | 0 | No | No |
| 17193214 | METHOD AND APPARATUS FOR PROMPTING MOTION, ELECTRONIC DEVICE AND STORAGE MEDIUM | March 2021 | September 2023 | Allow | 30 | 1 | 0 | No | No |
| 17184943 | COGNITIVE SCREENING FOR PROHIBITED ITEMS ACROSS MULTIPLE CHECKPOINTS BY USING CONTEXT AWARE SPATIO-TEMPORAL ANALYSIS | February 2021 | July 2024 | Abandon | 41 | 8 | 0 | Yes | No |
| 17182740 | AUTOMATIC BIO-SPECIMEN INSPECTION SYSTEM AND INSPECTION METHOD THEREOF | February 2021 | February 2024 | Allow | 36 | 2 | 0 | Yes | No |
| 17179456 | METHOD AND APPARATUS FOR GENERATING POSITION INFORMATION, DEVICE, AND MEDIUM | February 2021 | August 2022 | Allow | 18 | 1 | 0 | No | No |
| 17174818 | COMPUTING DEVICE AND METHOD USING A NEURAL NETWORK TO DETERMINE WHETHER OR NOT TO PROCESS IMAGES OF AN IMAGE FLOW | February 2021 | September 2023 | Allow | 31 | 1 | 0 | No | No |
| 17170209 | FACILITATING SKETCH TO PAINTING TRANSFORMATIONS | February 2021 | May 2023 | Allow | 27 | 3 | 0 | Yes | No |
| 17169538 | METHOD FOR AUTOMATIC GLUE-SPRAYING OF STRINGER AND INSPECTION OF GLUE-SPRAYING QUALITY | February 2021 | July 2022 | Allow | 17 | 0 | 0 | No | No |
| 17144157 | COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN TRAINING PROGRAM, TRAINING METHOD, AND INFORMATION PROCESSING APPARATUS | January 2021 | February 2023 | Allow | 25 | 0 | 0 | Yes | No |
| 17126837 | METHOD AND APPARATUS FOR PROCESSING LASER RADAR BASED SPARSE DEPTH MAP, DEVICE AND MEDIUM | December 2020 | April 2024 | Abandon | 40 | 1 | 0 | No | No |
| 17123531 | SYSTEMS AND METHODS FOR MATCHING COLOR AND APPEARANCE OF TARGET COATINGS | December 2020 | June 2024 | Allow | 42 | 6 | 0 | Yes | No |
| 16973971 | AUGMENTED REALITY DEEP GESTURE NETWORK | December 2020 | May 2023 | Allow | 29 | 2 | 0 | Yes | No |
| 17101241 | OBJECT DETECTION DATASET CONSTRUCTION METHOD USING IMAGE ENTROPY AND DATA PROCESSING DEVICE PERFORMING THE SAME | November 2020 | January 2023 | Allow | 25 | 1 | 0 | Yes | No |
| 17064652 | METHOD AND SYSTEM FOR OPTIMIZING OPTICAL INSPECTION OF PATTERNED STRUCTURES | October 2020 | May 2023 | Abandon | 31 | 2 | 0 | No | No |
| 17063572 | METHOD AND DEVICE FOR GENERATING TRAINING DATA FOR A RECOGNITION MODEL FOR RECOGNIZING OBJECTS IN SENSOR DATA OF A SENSOR, IN PARTICULAR, OF A VEHICLE, METHOD FOR TRAINING AND METHOD FOR ACTIVATING | October 2020 | December 2023 | Allow | 38 | 2 | 0 | Yes | No |
| 17036475 | MATERIAL IDENTIFICATION METHOD AND DEVICE BASED ON LASER SPECKLE AND MODAL FUSION | September 2020 | June 2023 | Allow | 32 | 1 | 0 | No | No |
| 17040525 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD AND MOBILE BODY | September 2020 | April 2022 | Allow | 18 | 1 | 0 | No | No |
| 17025419 | Object Detection Model Training Method, Apparatus, and Device | September 2020 | April 2022 | Allow | 18 | 0 | 0 | Yes | No |
| 17022324 | HEAT MAP GENERATING SYSTEM AND METHODS FOR USE THEREWITH | September 2020 | December 2021 | Allow | 15 | 0 | 0 | Yes | No |
| 16978374 | Methods and Systems for Determining Geographic Orientation Based on Imagery | September 2020 | August 2023 | Allow | 36 | 3 | 0 | Yes | No |
| 17011282 | SYSTEM AND METHOD FOR TRAINING A NEURAL NETWORK TO FILL GAPS BETWEEN SCAN POINTS IN IMAGES AND TO DE-NOISE POINT CLOUD IMAGES | September 2020 | September 2023 | Allow | 36 | 4 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner CONNER, SEAN M.
With a 66.7% reversal rate, the PTAB has reversed the examiner's rejections more often than affirming them. This reversal rate is in the top 25% across the USPTO, indicating that appeals are more successful here than in most other areas.
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 CONNER, SEAN M works in Art Unit 2663 and has examined 196 patent applications in our dataset. With an allowance rate of 85.2%, this examiner has an above-average tendency to allow applications. Applications typically reach final disposition in approximately 30 months.
Examiner CONNER, SEAN M's allowance rate of 85.2% places them in the 61% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.
On average, applications examined by CONNER, SEAN M receive 2.18 office actions before reaching final disposition. This places the examiner in the 59% 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 CONNER, SEAN M 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 +14.3% benefit to allowance rate for applications examined by CONNER, SEAN M. This interview benefit is in the 53% 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, 25.9% of applications are subsequently allowed. This success rate is in the 42% 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 17.5% of cases where such amendments are filed. This entry rate is in the 20% 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, 50.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 44% 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 50.0% of appeals filed. This is in the 17% percentile among all examiners. Of these withdrawals, 33.3% 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, 75.9% are granted (fully or in part). This grant rate is in the 81% 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 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.