Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19316946 | SYSTEM AND METHOD FOR SEMI-AUTOMATED DATASET ANNOTATION USING SIMILARITY BASED CLUSTERING AND IN-CONTEXT LEARNING FOR SEGMENTATION | September 2025 | November 2025 | Allow | 2 | 0 | 0 | No | No |
| 18860026 | REAL-TIME OBJECT DETECTION FROM DECOMPRESSED IMAGES | October 2024 | February 2025 | Allow | 4 | 0 | 0 | No | No |
| 18788052 | RAIL AREA EXTRACTION METHOD BASED ON LASER POINT CLOUD DATA | July 2024 | March 2025 | Allow | 7 | 0 | 0 | No | No |
| 18771646 | USING TEMPORAL FILTERS FOR AUTOMATED REAL-TIME CLASSIFICATION | July 2024 | May 2025 | Allow | 11 | 1 | 0 | No | No |
| 18770082 | IMAGE CODING APPARATUS FOR CODING TILE BOUNDARIES | July 2024 | August 2025 | Allow | 13 | 2 | 0 | No | No |
| 18769249 | METHOD FOR TRAINING A SYSTEM FOR AUTOMATED DETECTION OF THE STROBOSCOPIC EFFECT | July 2024 | January 2025 | Allow | 6 | 1 | 0 | No | No |
| 18760596 | HEAT AND MOISTURE EXCHANGER FOR A PATIENT INTERFACE | July 2024 | May 2025 | Allow | 11 | 1 | 0 | No | No |
| 18761065 | Systems and Methods for Progressive Learning for Machine-Learned Models to Optimize Training Speed | July 2024 | September 2025 | Allow | 14 | 0 | 0 | No | No |
| 18679122 | IMAGE ENCODER, IMAGE DECODER, IMAGE ENCODING METHOD, AND IMAGE DECODING METHOD | May 2024 | May 2025 | Allow | 11 | 1 | 0 | No | No |
| 18676307 | SAMPLE SEGMENTATION | May 2024 | April 2025 | Allow | 10 | 1 | 0 | No | No |
| 18673368 | Method, Apparatus, System, and Electronic Device for Transmitting Composite Photo Data | May 2024 | August 2024 | Allow | 3 | 0 | 0 | No | No |
| 18664111 | METHOD FOR ENCODING AND DECODING VIDEO, AND APPARATUS USING SAME | May 2024 | June 2025 | Allow | 13 | 1 | 0 | No | No |
| 18663241 | CUSTOM PATIENT INTERFACE AND METHODS FOR MAKING SAME | May 2024 | May 2025 | Allow | 12 | 1 | 0 | No | No |
| 18645950 | IMAGE CODING METHOD BASED ON SECONDARY TRANSFORM, AND DEVICE THEREFOR | April 2024 | April 2025 | Allow | 12 | 1 | 0 | No | No |
| 18635241 | APPARATUS AND A METHOD FOR DETECTING FRAUDULENT SIGNATURE INPUTS | April 2024 | June 2024 | Allow | 2 | 0 | 0 | No | No |
| 18627390 | IMAGE ENHANCEMENT TO ENABLE IMPROVED NUCLEI DETECTION AND SEGMENTATION | April 2024 | April 2025 | Allow | 13 | 1 | 0 | No | No |
| 18623054 | IMAGE CLASSIFICATION METHOD FOR MAXIMIZING MUTUAL INFORMATION, DEVICE, MEDIUM AND SYSTEM | April 2024 | August 2024 | Allow | 4 | 0 | 0 | No | No |
| 18603946 | MEMORY-GUIDED VIDEO OBJECT DETECTION | March 2024 | February 2025 | Allow | 11 | 0 | 0 | No | No |
| 18600972 | SYSTEM AND METHOD FOR INTERSECTION MANAGEMENT BY AN AUTONOMOUS VEHICLE | March 2024 | January 2025 | Allow | 10 | 1 | 0 | No | No |
| 18589157 | INTRA PREDICTION IN IMAGE PROCESSING | February 2024 | February 2025 | Allow | 11 | 0 | 0 | No | No |
| 18586137 | LINE DEFECT DETECTION | February 2024 | February 2026 | Allow | 24 | 0 | 0 | No | No |
| 18585898 | IMAGE CODING METHOD, IMAGE DECODING METHOD, IMAGE CODING APPARATUS, IMAGE DECODING APPARATUS, AND IMAGE CODING AND DECODING APPARATUS | February 2024 | September 2024 | Allow | 7 | 0 | 0 | No | No |
| 18545898 | DETERMINING FUNCTIONAL AND DESCRIPTIVE ELEMENTS OF APPLICATION IMAGES FOR INTELLIGENT SCREEN AUTOMATION | December 2023 | February 2025 | Allow | 14 | 1 | 0 | No | No |
| 18545207 | Recurrent Deep Neural Network System for Detecting Overlays in Images | December 2023 | October 2024 | Allow | 10 | 1 | 0 | No | No |
| 18570078 | METHOD FOR DETECTING CIGARETTE APPEARANCE DEFECT BASED ON VARIATIONAL BAYESIAN INFERENCE | December 2023 | March 2026 | Allow | 27 | 1 | 0 | No | No |
| 18532554 | IMAGE ENCODER AND DECODER USING UNIDIRECTIONAL PREDICTION | December 2023 | May 2025 | Allow | 18 | 1 | 0 | No | No |
| 18565501 | STREET GREENING QUALITY DETECTION METHOD BASED ON PHYSIOLOGICAL ACTIVATION RECOGNITION | November 2023 | June 2024 | Allow | 6 | 0 | 0 | No | No |
| 18518159 | OUT-OF-DISTRIBUTION DETECTION SYSTEM AND METHOD BASED ON FEATURE MAP OF CONVOLUTIONAL NEURAL NETWORK | November 2023 | December 2025 | Allow | 25 | 0 | 0 | No | No |
| 18562592 | IMAGE PROCESSING DEVICE AND METHOD | November 2023 | March 2026 | Allow | 27 | 1 | 0 | No | No |
| 18504075 | MULTI-DIMENSION UNIFIED SWIN TRANSFORMER FOR LESION SEGMENTATION | November 2023 | October 2025 | Allow | 24 | 0 | 0 | No | No |
| 18497025 | Object Detection and Property Determination for Autonomous Vehicles | October 2023 | October 2024 | Allow | 12 | 1 | 0 | No | No |
| 18556636 | HARDWARE ADAPTIVE MULTI-MODEL SCHEDULING | October 2023 | December 2025 | Allow | 26 | 1 | 0 | No | No |
| 18482065 | IMAGE PROCESSING APPARATUS, IMAGING SYSTEM, AND METHOD FOR ESTIMATING ERROR IN RECONSTRUCTED IMAGES | October 2023 | March 2026 | Allow | 29 | 1 | 0 | No | No |
| 18479611 | INDEPENDENT POSITIONING OF AUXILIARY INFORMATION IN NEURAL NETWORK BASED PICTURE PROCESSING | October 2023 | March 2026 | Allow | 30 | 1 | 0 | No | No |
| 18030900 | PROCESSING METHOD AND PROCESSING DEVICE USING SAME | September 2023 | November 2025 | Allow | 31 | 0 | 0 | No | No |
| 18371062 | PREDICTIVE USE OF QUANTITATIVE IMAGING | September 2023 | May 2024 | Allow | 8 | 1 | 0 | No | No |
| 18370410 | IMAGE PROCESSING APPARATUS, METHOD OF GENERATING LEARNING MODEL, AND INFERENCE METHOD | September 2023 | September 2025 | Allow | 24 | 0 | 0 | No | No |
| 18469418 | VISION TRANSFORMERS LEVERAGING TEMPORAL REDUNDANCY | September 2023 | October 2025 | Allow | 25 | 0 | 0 | No | No |
| 18550020 | METHOD FOR TRAINING A DECISION SYSTEM FOR SEGMENTING MEDICAL IMAGES | September 2023 | October 2025 | Allow | 25 | 0 | 0 | No | No |
| 18244672 | SYSTEM AND METHOD FOR REAL-TIME TONE-MAPPING | September 2023 | October 2025 | Allow | 25 | 1 | 0 | No | No |
| 18243508 | SYSTEMATIC TESTING OF AI IMAGE RECOGNITION | September 2023 | October 2025 | Allow | 25 | 0 | 0 | No | No |
| 18460319 | POLYNOMIAL SELF-ATTENTION | September 2023 | February 2026 | Allow | 29 | 1 | 0 | No | No |
| 18238068 | HIGH-FIDELITY GENERATIVE IMAGE COMPRESSION | August 2023 | October 2024 | Allow | 14 | 1 | 0 | No | No |
| 18237693 | METHOD AND APPARATUS FOR IMAGE PREPROCESSING BASED ON OBJECT OF INTEREST | August 2023 | January 2026 | Allow | 29 | 1 | 0 | No | No |
| 18237276 | METHOD, SYSTEM AND COMPUTER READABLE MEDIA FOR OBJECT DETECTION COVERAGE ESTIMATION | August 2023 | April 2025 | Allow | 20 | 1 | 0 | No | No |
| 18237264 | METHOD, SYSTEM AND COMPUTER READABLE MEDIA FOR OBJECT DETECTION COVERAGE ESTIMATION | August 2023 | March 2025 | Allow | 18 | 1 | 0 | No | No |
| 18237286 | METHOD, SYSTEM AND COMPUTER READABLE MEDIA FOR OBJECT DETECTION COVERAGE ESTIMATION | August 2023 | March 2025 | Allow | 19 | 1 | 0 | No | No |
| 18452883 | ELECTRONIC DEVICE FOR GENERATING IMAGE INCLUDING 3D AVATAR REFLECTING FACE MOTION THROUGH 3D AVATAR CORRESPONDING TO FACE AND METHOD OF OPERATING SAME | August 2023 | August 2024 | Allow | 12 | 1 | 0 | No | No |
| 18452345 | Three-Dimensional Mesh Compression Using a Video Encoder | August 2023 | August 2024 | Allow | 12 | 1 | 0 | No | No |
| 18450254 | METHOD AND ELECTRONIC DEVICE FOR OBJECT DETECTION, AND COMPUTER-READABLE STORAGE MEDIUM | August 2023 | October 2025 | Allow | 26 | 0 | 0 | No | No |
| 18233815 | Bilateral Filter with Data Model | August 2023 | November 2024 | Allow | 15 | 1 | 0 | No | No |
| 18449425 | SYSTEMS AND METHODS OF RADIOMICS BASED CANCER STRATIFICATION | August 2023 | September 2025 | Allow | 25 | 0 | 0 | No | No |
| 18223348 | SEGMENTATION USING AN UNSUPERVISED NEURAL NETWORK TRAINING TECHNIQUE | July 2023 | June 2025 | Allow | 23 | 1 | 0 | Yes | No |
| 18272298 | MULTIPLE HYPOTHESIS TRANSFORMATION MATCHING FOR ROBUST VERIFICATION OF OBJECT IDENTIFICATION | July 2023 | October 2024 | Allow | 15 | 0 | 0 | No | No |
| 18350871 | SYSTEMS AND METHODS FOR VISUAL VERIFICATION | July 2023 | October 2023 | Allow | 3 | 0 | 0 | No | No |
| 18339775 | Systems and Methods for Encoding Image Files Containing Depth Maps Stored as Metadata | June 2023 | May 2024 | Allow | 10 | 1 | 0 | No | No |
| 18210221 | SYSTEM FOR LEARNING NEW VISUAL INSPECTION TASKS USING A FEW-SHOT META-LEARNING METHOD | June 2023 | December 2025 | Allow | 30 | 1 | 0 | No | No |
| 18210266 | UNIFIED AI MODEL TRAINING PLATFORM | June 2023 | August 2025 | Allow | 26 | 0 | 0 | No | No |
| 18266849 | CORRECTION OF IMAGES FROM A CAMERA IN CASE OF RAIN, INCIDENT LIGHT AND CONTAMINATION | June 2023 | February 2026 | Allow | 32 | 1 | 0 | No | No |
| 18266879 | PROCESS FOR AUTOMATICALLY EXTRACTING TEXT INFORMATION FROM IMAGE FILES | June 2023 | September 2025 | Allow | 27 | 1 | 0 | No | No |
| 18333281 | USING TEMPORAL FILTERS FOR AUTOMATED REAL-TIME CLASSIFICATION | June 2023 | May 2024 | Allow | 11 | 1 | 0 | Yes | No |
| 18206629 | PREDICTIVE CONTRASTIVE REPRESENTATION METHOD FOR MULTIVARIATE TIME-SERIES DATA PROCESSING | June 2023 | September 2023 | Allow | 4 | 0 | 0 | No | No |
| 18205927 | CAMERA AUTO-CALIBRATION SYSTEM | June 2023 | December 2024 | Allow | 18 | 1 | 0 | No | No |
| 18329122 | METHOD AND APPARATUS WITH IMAGE RESTORATION | June 2023 | February 2026 | Allow | 33 | 1 | 0 | No | No |
| 18202857 | MACHINE-LEARNING BASED GESTURE RECOGNITION USING MULTIPLE SENSORS | May 2023 | June 2024 | Allow | 13 | 1 | 0 | No | No |
| 18202035 | IMAGE CODING APPARATUS FOR CODING TILE BOUNDARIES | May 2023 | January 2024 | Allow | 8 | 0 | 0 | No | No |
| 18198382 | IMAGE CODING METHOD BASED ON SECONDARY TRANSFORM, AND DEVICE THEREFOR | May 2023 | January 2024 | Allow | 8 | 0 | 0 | No | No |
| 18144274 | HIERARCHICAL AUDIO-VISUAL FEATURE FUSING METHOD FOR AUDIO-VISUAL QUESTION ANSWERING AND PRODUCT | May 2023 | August 2025 | Allow | 28 | 0 | 0 | No | No |
| 17917268 | THREE-DIMENSIONAL OBJECT DETECTION FRAMEWORK BASED ON MULTI-SOURCE DATA KNOWLEDGE TRANSFER | May 2023 | January 2026 | Allow | 40 | 1 | 0 | No | No |
| 18035328 | IMAGE COMPRESSION METHOD AND APPARATUS, AND INTELLIGENT TERMINAL AND COMPUTER-READABLE STORAGE MEDIUM | May 2023 | October 2025 | Allow | 29 | 1 | 0 | No | No |
| 18311330 | IMAGE ENCODER AND DECODER USING UNIDIRECTIONAL PREDICTION | May 2023 | August 2024 | Allow | 15 | 1 | 0 | No | No |
| 18142386 | INTRA PREDICTION IN IMAGE PROCESSING | May 2023 | November 2023 | Allow | 7 | 0 | 0 | No | No |
| 18310075 | METHOD AND ELECTRONIC DEVICE WITH FEATURE VECTOR AND FEATURE MAP OUTPUT | May 2023 | October 2025 | Allow | 29 | 1 | 0 | Yes | No |
| 18141630 | ACTIVE LEARNING DEVICE AND ACTIVE LEARNING METHOD | May 2023 | October 2025 | Allow | 29 | 1 | 0 | No | No |
| 18033305 | SEQUENCE PROCESSING FOR A DATASET WITH FRAME DROPPING | April 2023 | September 2025 | Allow | 29 | 0 | 1 | No | No |
| 18249928 | DATA CREATION SYSTEM, LEARNING SYSTEM, ESTIMATION SYSTEM, PROCESSING DEVICE, EVALUATION SYSTEM, DATA CREATION METHOD, AND PROGRAM | April 2023 | August 2025 | Allow | 28 | 1 | 0 | No | No |
| 18302815 | Training Method for Multi-Task Recognition Network Based on End-To-End, Prediction Method for Road Targets and Target Behaviors, Computer-Readable Storage Media, and Computer Device | April 2023 | August 2025 | Allow | 28 | 0 | 0 | No | No |
| 18130105 | METHOD FOR ENCODING AND DECODING VIDEO, AND APPARATUS USING SAME | April 2023 | February 2024 | Allow | 10 | 0 | 0 | No | No |
| 18246102 | SELF IMPROVING OBJECT RECOGNITION METHOD AND SYSTEM THROUGH IMAGE CAPTURE | March 2023 | August 2025 | Allow | 29 | 0 | 1 | No | No |
| 18123269 | Generating Sparse Sample Histograms in Image Processing | March 2023 | January 2024 | Allow | 10 | 1 | 0 | No | No |
| 18119563 | DATA IDENTIFICATION METHOD AND APPARATUS | March 2023 | August 2025 | Allow | 29 | 0 | 0 | No | No |
| 18116520 | IMAGE CODING METHOD, IMAGE DECODING METHOD, IMAGE CODING APPARATUS, IMAGE DECODING APPARATUS, AND IMAGE CODING AND DECODING APPARATUS | March 2023 | November 2023 | Allow | 9 | 1 | 0 | No | No |
| 18111507 | DOMAIN VECTOR-BASED DOMAIN ADAPTATION FOR OBJECT DETECTION AND INSTANCE SEGMENTATION | February 2023 | June 2025 | Allow | 28 | 1 | 0 | No | No |
| 18171242 | IMAGE ENCODER, IMAGE DECODER, IMAGE ENCODING METHOD, AND IMAGE DECODING METHOD | February 2023 | March 2024 | Allow | 12 | 2 | 0 | No | No |
| 18041957 | Method and Apparatus for Enhancing Performance of Machine Learning Classification Task | February 2023 | August 2025 | Allow | 29 | 0 | 0 | No | No |
| 18021180 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM | February 2023 | August 2025 | Allow | 30 | 1 | 0 | No | No |
| 18109376 | SYSTEM AND METHOD FOR PREDICTIVE FUSION | February 2023 | January 2025 | Allow | 23 | 2 | 0 | No | No |
| 18164808 | ITERATIVE REFINEMENT OF ANNOTATED DATASETS | February 2023 | May 2025 | Allow | 27 | 0 | 0 | No | No |
| 18163544 | SYSTEMS AND METHODS FOR IDENTIFYING FRACTURES WITHIN A GEOLOGICAL FORMATION | February 2023 | June 2025 | Allow | 28 | 0 | 0 | No | No |
| 18099834 | METHOD AND SYSTEM OR DEVICE FOR RECOGNIZING AN OBJECT IN AN ELECTRONIC IMAGE | January 2023 | March 2025 | Allow | 26 | 0 | 0 | No | No |
| 18005379 | PEDESTRIAN ATTRIBUTE RECOGNITION METHOD BASED ON A PEDESTRIAN ATTRIBUTE RECOGNITION SYSTEM AND METHOD FOR TRAINING THE SAME | January 2023 | July 2025 | Allow | 30 | 1 | 0 | No | No |
| 18094871 | PREDICTIVE USE OF QUANTITATIVE IMAGING | January 2023 | August 2023 | Allow | 7 | 1 | 0 | No | No |
| 18093966 | SYSTEM AND METHOD FOR CLASSIFICATION OF OBJECTS BY A BODY TAPER DETECTION | January 2023 | June 2025 | Allow | 29 | 0 | 0 | No | No |
| 18150578 | EFFICIENT NEURAL-NETWORK-BASED PROCESSING OF VISUAL CONTENT | January 2023 | March 2025 | Allow | 26 | 0 | 0 | No | No |
| 18090596 | METHODS AND SYSTEMS FOR VISUAL REPRESENTATION OF MODEL PERFORMANCE | December 2022 | January 2025 | Allow | 25 | 0 | 0 | No | No |
| 18147476 | MACHINE LEARNING PIPELINE FOR DOCUMENT IMAGE QUALITY DETECTION AND CORRECTION | December 2022 | August 2023 | Allow | 7 | 1 | 0 | No | No |
| 18086556 | METHOD OF TRAINING IMAGE GENERATION MODEL, AND METHOD OF GENERATING IMAGE | December 2022 | May 2025 | Allow | 29 | 0 | 0 | No | No |
| 18085046 | METHOD AND DEVICE FOR SEGMENTING OBJECTS IN IMAGES USING ARTIFICIAL INTELLIGENCE | December 2022 | July 2025 | Allow | 31 | 1 | 0 | No | No |
| 18085023 | WITHHOLDING NOTIFICATIONS DUE TO TEMPORARY MISPLACED PRODUCTS | December 2022 | April 2024 | Allow | 16 | 1 | 0 | No | No |
| 18081516 | CORE SET DISCOVERY USING ACTIVE LEARNING | December 2022 | April 2025 | Allow | 28 | 0 | 1 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner ALAVI, AMIR.
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, 14.3% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the bottom 25% across the USPTO, indicating that filing appeals is less effective here than in most other areas.
⚠ 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 ALAVI, AMIR works in Art Unit 2668 and has examined 1,071 patent applications in our dataset. With an allowance rate of 96.2%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 20 months.
Examiner ALAVI, AMIR's allowance rate of 96.2% places them in the 86% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by ALAVI, AMIR receive 0.84 office actions before reaching final disposition. This places the examiner in the 6% 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 ALAVI, AMIR is 20 months. This places the examiner in the 93% percentile for prosecution speed. Applications move through prosecution relatively quickly with this examiner.
Conducting an examiner interview provides a +1.1% benefit to allowance rate for applications examined by ALAVI, AMIR. This interview benefit is in the 19% percentile among all examiners. Note: Interviews show limited statistical benefit with this examiner compared to others, though they may still be valuable for clarifying issues.
When applicants file an RCE with this examiner, 43.0% of applications are subsequently allowed. This success rate is in the 94% 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 83.1% of cases where such amendments are filed. This entry rate is in the 97% percentile among all examiners. Strategic Recommendation: This examiner is highly receptive to after-final amendments compared to other examiners. Per MPEP § 714.12, after-final amendments may be entered "under justifiable circumstances." Consider filing after-final amendments with a clear showing of allowability rather than immediately filing an RCE, as this examiner frequently enters such amendments.
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 12% 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 85.7% of appeals filed. This is in the 79% percentile among all examiners. Of these withdrawals, 66.7% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner frequently reconsiders rejections during the appeal process compared to other examiners. Per MPEP § 1207.01, all appeals must go through a mandatory appeal conference. Filing a Notice of Appeal may prompt favorable reconsideration even before you file an Appeal Brief.
When applicants file petitions regarding this examiner's actions, 64.6% are granted (fully or in part). This grant rate is in the 70% 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 1.2% of allowed cases (in the 69% percentile). This examiner makes examiner's amendments more often than average to place applications in condition for allowance (MPEP § 1302.04).
Quayle Actions: This examiner issues Ex Parte Quayle actions in 6.8% of allowed cases (in the 84% percentile). Per MPEP § 714.14, a Quayle action indicates that all claims are allowable but formal matters remain. This examiner frequently uses Quayle actions compared to other examiners, which is a positive indicator that once substantive issues are resolved, allowance follows quickly.
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.