Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19052320 | INCREMENTAL LEARNING METHOD AND APPARATUS FOR LARGE VISION-LANGUAGE MODEL FOR AUTONOMOUS DRIVING | February 2025 | May 2025 | Allow | 4 | 1 | 0 | No | No |
| 19025673 | REAL-TIME VIDEO EVENT DETECTION USING EDGE AND CLOUD AI | January 2025 | March 2025 | Allow | 2 | 0 | 0 | Yes | No |
| 19005689 | SMALL-SIZE VEHICLE DETECTION DEEP LEARNING MODEL BASED ON FEATURE FUSION OF MULTI-SCALE MODULES | December 2024 | June 2025 | Allow | 6 | 1 | 0 | No | No |
| 18973049 | APPARATUS AND METHODS FOR LABELING TIME-SERIES DATA USING MACHINE LEARNING MODELS | December 2024 | April 2025 | Allow | 4 | 0 | 0 | Yes | No |
| 18929566 | EDGE COMPUTING-BASED ADDITIVE MANUFACTURING REAL-TIME MONITORING METHOD AND SYSTEM | October 2024 | July 2025 | Allow | 9 | 0 | 0 | No | No |
| 18857046 | SELF-SUPERVISED ANOMALY DETECTION FRAMEWORK FOR VISUAL QUALITY INSPECTION IN MANUFACTRUING | October 2024 | February 2025 | Allow | 4 | 0 | 0 | No | No |
| 18900912 | METHOD FOR PREDICTING REMOTE SENSING IMAGE TIME SERIES BASED ON RESERVOIR COMPUTING | September 2024 | March 2025 | Allow | 5 | 1 | 0 | No | No |
| 18902546 | Multi-Axis Vision Transformer | September 2024 | August 2025 | Allow | 10 | 2 | 0 | No | No |
| 18804475 | DEVICE FOR IMAGE RECOGNITION BASED ON FULL-ANALOG PHOTONIC NEURAL NETWORK AND METHOD THEREOF | August 2024 | December 2024 | Allow | 4 | 0 | 0 | No | No |
| 18724204 | PEDESTRIAN RE-IDENTIFICATION METHOD, SYSTEM AND DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM | June 2024 | January 2025 | Allow | 7 | 1 | 0 | No | No |
| 18754934 | METHODS OF ASSESSING LUNG DISEASE IN CHEST X-RAYS | June 2024 | March 2025 | Allow | 8 | 0 | 0 | Yes | No |
| 18751166 | COMMON-SENSE BIAS DISCOVERY AND MITIGATION FOR MACHINE-LEARNING TASKS | June 2024 | December 2024 | Allow | 6 | 1 | 0 | No | No |
| 18736739 | METHOD, APPARATUS, ELECTRONIC DEVICE, COMPUTER PROGRAM, AND COMPUTER READABLE RECORDING MEDIUM FOR MEASURING INTER-VEHICLE DISTANCE BASED ON VEHICLE IMAGE | June 2024 | August 2025 | Allow | 15 | 1 | 0 | No | No |
| 18643164 | LANE DEPARTURE MONITORING | April 2024 | August 2024 | Allow | 4 | 0 | 0 | No | No |
| 18625784 | SYSTEM AND METHOD FOR CHARACTERIZING CELLULAR PHENOTYPIC DIVERSITY FROM MULTI-PARAMETER CELLULAR, AND SUB-CELLULAR IMAGING DATA | April 2024 | November 2024 | Allow | 8 | 0 | 0 | No | No |
| 18617762 | SYSTEMS AND METHODS TO LABEL STRUCTURES OF INTEREST IN TISSUE SLIDE IMAGES | March 2024 | October 2024 | Allow | 7 | 0 | 0 | Yes | No |
| 18614676 | DEPTH ESTIMATION METHOD AND APPARATUS, METHOD AND APPARATUS FOR TRAINING DEPTH ESTIMATION MODEL, AND SYSTEM | March 2024 | March 2026 | Allow | 23 | 0 | 0 | Yes | No |
| 18613313 | APPARATUS AND A METHOD FOR THE IDENTIFICATION OF SOURCE IMAGES ASSOCIATED WITH AN OBJECT | March 2024 | July 2024 | Allow | 4 | 1 | 0 | Yes | No |
| 18583675 | SYSTEM AND METHOD FOR COLLECTION OF FIT DATA RELATED TO A SELECTED MASK | February 2024 | March 2025 | Allow | 12 | 1 | 0 | No | No |
| 18682444 | COMPUTER VISION SYSTEM, COMPUTER VISION METHOD AND COMPUTER VISION PROGRAM | February 2024 | March 2026 | Allow | 25 | 0 | 0 | No | No |
| 18421940 | AUTO-NORMALIZATION FOR MACHINE LEARNING | January 2024 | April 2025 | Allow | 14 | 1 | 0 | No | No |
| 18290700 | FACE REGION DETECTION AND LOCAL RESHAPING ENHANCEMENT | January 2024 | January 2026 | Allow | 23 | 0 | 0 | Yes | No |
| 18575402 | APPARATUS FOR LESION DIAGNOSIS AND METHOD THEREOF | December 2023 | March 2026 | Allow | 26 | 1 | 0 | No | No |
| 18573871 | METHOD AND SYSTEM FOR OBTAINING HUMAN BODY SIZE INFORMATION FROM IMAGE DATA | December 2023 | February 2026 | Allow | 26 | 0 | 0 | Yes | No |
| 18572953 | ELECTRODE SURFACE INSPECTION DEVICE | December 2023 | March 2026 | Allow | 27 | 1 | 0 | No | No |
| 18545885 | SYSTEMS AND METHODS FOR IMAGE BASED CONTENT CAPTURE AND EXTRACTION UTILIZING DEEP LEARNING NEURAL NETWORK AND BOUNDING BOX DETECTION TRAINING TECHNIQUES | December 2023 | November 2024 | Allow | 11 | 0 | 0 | Yes | No |
| 18537951 | INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD | December 2023 | December 2025 | Allow | 24 | 0 | 0 | No | No |
| 18528155 | QUANTUM CONVOLUTIONAL NEURAL NETWORK CIRCUIT | December 2023 | December 2025 | Allow | 24 | 0 | 0 | Yes | No |
| 18506018 | GENERATIVE DATA AUGMENTATION WITH TASK LOSS GUIDED FINE-TUNING | November 2023 | February 2026 | Allow | 27 | 1 | 0 | Yes | No |
| 18502704 | METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR GENERATING IMAGE | November 2023 | February 2026 | Allow | 27 | 1 | 0 | No | No |
| 18501928 | COMPOSITE GROUP IMAGE | November 2023 | March 2026 | Allow | 28 | 1 | 0 | No | No |
| 18379127 | OBJECT CLASSIFICATION SYSTEM AND/OR METHODS | October 2023 | January 2026 | Allow | 27 | 0 | 1 | Yes | No |
| 18483532 | LEARNING DEVICE, LEARNING METHOD, AND LEARNING PROGRAM | October 2023 | December 2025 | Allow | 27 | 1 | 0 | No | No |
| 18480774 | USING A GAN DISCRIMINATOR FOR ANOMALY DETECTION | October 2023 | December 2025 | Allow | 27 | 1 | 0 | Yes | No |
| 18285361 | REINFORCED ATTENTION | October 2023 | March 2026 | Abandon | 30 | 1 | 0 | No | No |
| 18467550 | SYSTEM AND METHOD FOR SYNTHETIC IMAGE GENERATION | September 2023 | February 2026 | Allow | 29 | 1 | 0 | Yes | No |
| 18282141 | ULTRASONIC COMPUTATION HARDWARE FOR CONVOLUTIONAL NEURAL NETWORK COMPUTING AND OTHER COMPUTATION APPLICATIONS | September 2023 | June 2024 | Allow | 9 | 0 | 0 | Yes | No |
| 18243819 | AUTOMATIC LABELING AND EVENT DETECTION FOR VIDEO ANALYTICS USING HYBRID AI | September 2023 | February 2026 | Allow | 29 | 1 | 0 | Yes | No |
| 18459954 | GENERATING GROUND TRUTH FOR MACHINE LEARNING FROM TIME SERIES ELEMENTS | September 2023 | October 2024 | Allow | 13 | 1 | 0 | Yes | No |
| 18241210 | METHOD AND APPARATUS FOR DETERMINING DRIVING RISKS BY USING DEEP LEARNING ALGORITHMS | August 2023 | February 2026 | Allow | 30 | 1 | 0 | No | No |
| 18449730 | IMAGE ANALYSIS SYSTEM AN UPDATE METHOD FOR MACHINE LEARNING MODEL | August 2023 | August 2025 | Allow | 24 | 0 | 0 | Yes | No |
| 18358274 | FACILITATING IDENTIFICATION OF ERROR IMAGE LABEL | July 2023 | October 2025 | Allow | 27 | 0 | 0 | Yes | No |
| 18224360 | Systems for Detecting Vehicle Following Distance | July 2023 | August 2025 | Allow | 24 | 0 | 0 | No | No |
| 18273193 | TRAINING DATA GENERATION DEVICE, TRAINIG DATA GENERATION METHOD, AND MEDIUM | July 2023 | February 2026 | Allow | 31 | 1 | 0 | Yes | No |
| 18350845 | Dynamic training of Models | July 2023 | October 2025 | Allow | 27 | 0 | 0 | No | No |
| 18260526 | EXPLORATION AND PRODUCTION DOCUMENT CONTENT AND METADATA SCANNER | July 2023 | July 2025 | Allow | 24 | 0 | 0 | Yes | No |
| 18346623 | SYSTEMS AND METHODS FOR ANALYZING VIDEO DATA AND GENERATING SCORING DATA | July 2023 | November 2025 | Allow | 28 | 1 | 0 | Yes | No |
| 18216147 | NEURAL NETWORK SYSTEM AND SIGNAL PROCESSING METHOD | June 2023 | August 2025 | Allow | 26 | 0 | 0 | Yes | No |
| 18336080 | MACHINE LEARNING DEVICE, INFERENCE DEVICE, AND NON-TRANSITORY PROGRAM RECORDING MEDIUM | June 2023 | February 2026 | Allow | 32 | 1 | 0 | No | No |
| 18267539 | SYSTEM AND METHOD FOR DOMAIN ADAPTIVE OBJECT DETECTION VIA GRADIENT DETACH BASED STACKED COMPLEMENTARY LOSSES | June 2023 | January 2026 | Abandon | 31 | 1 | 0 | No | No |
| 18328971 | OBSTACLE AVOIDANCE DURING TARGET TRACKING | June 2023 | December 2024 | Allow | 18 | 2 | 0 | Yes | No |
| 18327101 | SYSTEM FOR PROCESSING A SLAB HAVING A TOP POLISHED FACE AND RELATED METHOD | June 2023 | December 2025 | Allow | 31 | 0 | 0 | Yes | No |
| 18323795 | OBJECT DETECTION FOR AUTONOMOUS SYSTEMS AND APPLICATIONS | May 2023 | December 2025 | Allow | 31 | 1 | 0 | Yes | No |
| 18321934 | ANALYSIS METHOD AND DEVICE FOR CEREBROVASCULAR IMAGE BASED ON CEREBROVASCULAR CHUNK FEATURES | May 2023 | December 2025 | Allow | 30 | 1 | 0 | Yes | No |
| 18197891 | DEEP NEURAL NETWORK-BASED OBJECT DETECTION METHOD, AND CLOUD SERVER AND EDGE DEVICE PERFORMING DEEP NEURAL NETWORK-BASED OBJECT DETECTION METHOD | May 2023 | September 2025 | Allow | 28 | 1 | 0 | No | No |
| 18253082 | Method and System for Training a Neural Network | May 2023 | July 2025 | Allow | 26 | 0 | 0 | Yes | No |
| 18035790 | TRAINING AND USING A LEARNING ALGORITHM USING A TRANSCRIPT OF AUDIO DATA FOR IDENTIFICATION OF A MEDICAL DEVICE VISIBLE IN IMAGE DATA | May 2023 | August 2025 | Allow | 28 | 0 | 0 | No | No |
| 18250650 | A METHOD AND A SYSTEM FOR COMPRESSED ULTRAFAST TOMOGRAPHIC IMAGING | April 2023 | June 2025 | Allow | 25 | 0 | 0 | Yes | No |
| 18306192 | SYSTEMS AND METHODS FOR POSITRON EMISSION TOMOGRAPHY IMAGE RECONSTRUCTION | April 2023 | October 2025 | Allow | 30 | 1 | 0 | No | No |
| 18249895 | DATA CREATION SYSTEM, LEARNING SYSTEM, ESTIMATION SYSTEM, PROCESSING DEVICE, DATA CREATION METHOD, AND PROGRAM | April 2023 | February 2026 | Abandon | 34 | 1 | 0 | Yes | No |
| 18136252 | TRAINING INSTANCE SEGMENTATION NEURAL NETWORKS THROUGH CONTRASTIVE LEARNING | April 2023 | June 2025 | Allow | 26 | 0 | 0 | No | No |
| 18128487 | DEFECT CLASSIFICATION OF PROCESSED WAFERS | March 2023 | September 2025 | Allow | 29 | 0 | 1 | Yes | No |
| 18191269 | LEARNING MODEL GENERATING METHOD AND INSPECTION DEVICE | March 2023 | July 2025 | Allow | 27 | 0 | 0 | No | No |
| 18127426 | OPTICAL RESOLUTION DETERMINATION FROM BARCODE CHART IMAGES | March 2023 | May 2025 | Allow | 26 | 0 | 0 | No | No |
| 18191845 | GENERATING IMAGES FOR NEURAL NETWORK TRAINING | March 2023 | July 2025 | Allow | 27 | 0 | 0 | Yes | No |
| 18189679 | INSTANCE-AWARE REPEAT FACTOR SAMPLING METHOD FOR IMBALANCED DATA IN OBJECT DETECTION | March 2023 | August 2025 | Allow | 29 | 0 | 0 | No | No |
| 18124166 | Occlusion Detection | March 2023 | May 2025 | Allow | 26 | 0 | 0 | Yes | No |
| 18180978 | NEURAL NETWORK MODEL TRAINING METHOD, IMAGE PROCESSING METHOD, AND APPARATUS | March 2023 | May 2025 | Allow | 26 | 0 | 0 | No | No |
| 18118907 | Pre-Processing for Automatic Topographic Feature Extraction | March 2023 | May 2025 | Allow | 26 | 0 | 0 | Yes | No |
| 18177084 | IMAGE COMPONENT GENERATION BASED ON APPLICATION OF ITERATIVE LEARNING ON AUTOENCODER MODEL AND TRANSFORMER MODEL | March 2023 | June 2025 | Allow | 28 | 0 | 0 | Yes | No |
| 18173820 | MACHINE LEARNING DEVICE AND FAR-INFRARED IMAGE CAPTURING DEVICE | February 2023 | June 2025 | Allow | 27 | 0 | 0 | No | No |
| 18167418 | METHODS AND APPARATUS FOR RECOGNIZING PRODUCE CATEGORY, ORGANIC TYPE, AND BAG TYPE IN AN IMAGE USING A CONCURRENT NEURAL NETWORK MODEL | February 2023 | November 2025 | Abandon | 33 | 1 | 0 | No | No |
| 18166095 | GENERATING STRONG LABELS FOR EXAMPLES LABELLED WITH WEAK LABELS | February 2023 | July 2025 | Allow | 29 | 0 | 0 | No | No |
| 18165857 | METHOD FOR LEVERAGING SHAPE INFORMATION IN FEW-SHOT LEARNING IN ARTIFICIAL NEURAL NETWORKS | February 2023 | November 2025 | Abandon | 33 | 1 | 0 | No | No |
| 18007288 | OBJECT RECOGNITION NEURAL NETWORK TRAINING USING MULTIPLE DATA SOURCES | January 2023 | July 2025 | Allow | 30 | 1 | 0 | No | No |
| 18156853 | SYMBOL ANALYSIS DEVICE AND METHOD INCLUDED IN FACILITY FLOOR PLAN | January 2023 | April 2025 | Allow | 27 | 0 | 0 | No | No |
| 18092053 | METHOD FOR DETECTING DEFECT OF IMAGES AND ELECTRONIC DEVICE | December 2022 | April 2025 | Allow | 28 | 0 | 0 | No | No |
| 18090389 | METHOD AND APPARATUS FOR IDENTIFYING FOOD USING MULTIMODAL MODEL | December 2022 | July 2025 | Allow | 31 | 1 | 0 | No | No |
| 18146450 | TARGET RE-IDENTIFICATION METHOD, NETWORK TRAINING METHOD THEREOF, AND RELATED DEVICE | December 2022 | August 2025 | Allow | 32 | 0 | 1 | No | No |
| 18146175 | SYSTEM AND METHOD FOR DATA EXTRACTION AND STANDARDIZATION USING AI BASED WORKFLOW AUTOMATION | December 2022 | June 2025 | Allow | 30 | 1 | 0 | No | No |
| 18002534 | DATA COLLECTION DEVICE AND DATA COLLECTION METHOD | December 2022 | July 2025 | Allow | 31 | 1 | 0 | No | No |
| 17992514 | SYSTEMS AND METHODS FOR WASTE ITEM DETECTION AND RECOGNITION | November 2022 | August 2024 | Allow | 20 | 1 | 0 | No | No |
| 17988188 | IDENTIFYING NEW CLASSES OF OBJECTS IN ENVIRONMENTS OF VEHICLES | November 2022 | August 2023 | Allow | 9 | 2 | 0 | Yes | No |
| 18052238 | Systems and Methods for Processing Multi-Modal Images | November 2022 | October 2025 | Allow | 35 | 0 | 0 | Yes | No |
| 17972942 | METHOD FOR FEATURE DETECTION OF COMPLEX DEFECTS BASED ON MULTIMODAL DATA | October 2022 | June 2025 | Allow | 31 | 1 | 0 | No | No |
| 17970771 | Systems, Methods, and Media for Training a Model for Improved Out of Distribution Performance | October 2022 | September 2025 | Abandon | 35 | 1 | 0 | No | No |
| 17970694 | INFORMATION PROCESSING APPARATUS, ESTIMATION METHOD, TRAINING METHOD, AND STORAGE MEDIUM | October 2022 | May 2025 | Allow | 31 | 1 | 0 | Yes | No |
| 18048427 | HIGH-DIMENSIONAL TRANSFER LEARNING | October 2022 | March 2025 | Allow | 28 | 0 | 0 | Yes | No |
| 18048062 | COMPUTER-IMPLEMENTED METHOD AND A COMPUTER SYSTEM FOR GENERATING A TRAINING DATASET FOR TRAINING AN ARTIFICIAL NEURAL NETWORK | October 2022 | February 2026 | Allow | 40 | 0 | 0 | No | No |
| 17968986 | SELF-DIRECTED VISUAL INTELLIGENCE SYSTEM | October 2022 | June 2025 | Allow | 31 | 1 | 0 | No | No |
| 17938077 | TRACK FEATURE DETECTION USING MACHINE VISION | October 2022 | July 2024 | Allow | 22 | 2 | 0 | No | No |
| 17949504 | SYSTEMS AND METHODS FOR MULTI-TEACHER GROUP-DISTILLATION FOR LONG-TAIL CLASSIFICATION | September 2022 | May 2025 | Allow | 32 | 1 | 0 | No | No |
| 17948068 | NEURAL NETWORK BASED IDENTIFICATION DOCUMENT PROCESSING SYSTEM | September 2022 | August 2024 | Allow | 23 | 1 | 0 | Yes | No |
| 17898678 | METHOD FOR RECOGNIZING RECEIPT, ELECTRONIC DEVICE AND STORAGE MEDIUM | August 2022 | January 2025 | Allow | 29 | 0 | 0 | No | No |
| 17898778 | INFORMATION PROCESSING APPARATUS, SKINCARE PRESCRIPTION SYSTEM, SKINCARE PRESCRIPTION METHOD, AND STORAGE MEDIUM | August 2022 | March 2025 | Allow | 30 | 1 | 0 | Yes | No |
| 17822989 | SYSTEMS AND METHODS TO PROCESS ELECTRONIC IMAGES TO IDENTIFY TUMOR SUBCLONES AND RELATIONSHIPS AMONG SUBCLONES | August 2022 | February 2025 | Allow | 29 | 1 | 0 | Yes | No |
| 17798781 | METHOD AND SYSTEM FOR REGISTRATION OF 2D OR 3D IMAGES | August 2022 | February 2025 | Allow | 30 | 0 | 0 | No | No |
| 17871081 | METHOD AND SYSTEM FOR DETERMINING A POSE OF AT LEAST ONE OBJECT IN AN OPERATING THEATRE | July 2022 | May 2025 | Allow | 34 | 1 | 0 | Yes | No |
| 17868926 | COMPUTER-IMPLEMENTED METHOD FOR EVALUATING AN ANGIOGRAPHIC COMPUTED TOMOGRAPHY DATASET, EVALUATION DEVICE, COMPUTER PROGRAM AND ELECTRONICALLY READABLE DATA MEDIUM | July 2022 | February 2025 | Allow | 31 | 0 | 0 | No | No |
| 17793201 | SYSTEMS AND METHODS FOR UTILIZING SYNTHETIC MEDICAL IMAGES GENERATED USING A NEURAL NETWORK | July 2022 | January 2025 | Allow | 30 | 0 | 1 | Yes | No |
No appeal data available for this record. This may indicate that no appeals have been filed or decided for applications in this dataset.
Examiner FLORES, LEON works in Art Unit 2676 and has examined 51 patent applications in our dataset. With an allowance rate of 92.2%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 32 months.
Examiner FLORES, LEON's allowance rate of 92.2% places them in the 78% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by FLORES, LEON receive 1.18 office actions before reaching final disposition. This places the examiner in the 14% 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 FLORES, LEON is 32 months. This places the examiner in the 51% percentile for prosecution speed. Prosecution timelines are slightly faster than average with this examiner.
Conducting an examiner interview provides a +2.3% benefit to allowance rate for applications examined by FLORES, LEON. This interview benefit is in the 23% 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, 30.0% of applications are subsequently allowed. This success rate is in the 58% 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 60.0% of cases where such amendments are filed. This entry rate is in the 85% 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 file petitions regarding this examiner's actions, 50.0% are granted (fully or in part). This grant rate is in the 47% 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 2.0% of allowed cases (in the 74% 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 8.5% of allowed cases (in the 87% 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.