Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18594423 | SUBSTANCE PREPARATION EVALUATION SYSTEM | March 2024 | May 2024 | Allow | 3 | 0 | 0 | No | No |
| 18544043 | SYSTEM FOR AUTOMATED DATA PREPARATION, TRAINING, AND TUNING OF MACHINE LEARNING MODELS | December 2023 | March 2024 | Allow | 3 | 0 | 0 | No | No |
| 18489572 | METHOD�AND�APPARATUS�FOR�COMBINING�DATA�TO�CONSTRUCT�A�FLOOR�PLAN | October 2023 | May 2024 | Allow | 7 | 0 | 0 | No | No |
| 18484203 | TEXTURE UNIT CIRCUIT IN NEURAL NETWORK PROCESSOR | October 2023 | May 2024 | Allow | 7 | 0 | 0 | No | No |
| 18480935 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, IMAGING DEVICE, AND PROGRAM | October 2023 | April 2024 | Allow | 7 | 0 | 0 | No | No |
| 18368153 | IMAGE DESCRIPTOR NETWORK WITH IMPOSED HIERARCHICAL NORMALIZATION | September 2023 | April 2024 | Allow | 7 | 0 | 0 | No | No |
| 18230499 | SEQUENCE-OF-SEQUENCES MODEL FOR 3D OBJECT RECOGNITION | August 2023 | February 2024 | Allow | 7 | 0 | 0 | No | No |
| 18228328 | IMAGE ANALYSIS AND PREDICTION BASED VISUAL SEARCH | July 2023 | May 2024 | Allow | 9 | 1 | 0 | No | No |
| 18362746 | Dynamically Predicting Shot Type Using a Personalized Deep Neural Network | July 2023 | May 2024 | Allow | 10 | 1 | 0 | Yes | No |
| 18225850 | APPARATUS AND METHODS FOR THE OPTIMAL STITCH ZONE CALCULATION OF A GENERATED PROJECTION OF A SPHERICAL IMAGE | July 2023 | February 2024 | Allow | 7 | 0 | 0 | No | No |
| 18351551 | LENS MOVING APPARATUS, CAMERA MODULE AND OPTICAL APPLIANCE INCLUDING THE SAME | July 2023 | January 2024 | Allow | 6 | 0 | 0 | No | No |
| 18342385 | NEURAL PROCESSING UNIT, NEURAL PROCESSING SYSTEM, AND APPLICATION SYSTEM | June 2023 | January 2024 | Allow | 7 | 0 | 0 | No | No |
| 18341968 | VISION SENSORS, IMAGE PROCESSING DEVICES INCLUDING THE VISION SENSORS, AND OPERATING METHODS OF THE VISION SENSORS | June 2023 | January 2024 | Allow | 7 | 0 | 0 | No | No |
| 18210274 | FOCUS DETECTION DEVICE, IMAGE SENSOR, AND INTERCHANGEABLE LENS | June 2023 | January 2024 | Allow | 7 | 0 | 0 | No | No |
| 18331222 | SYSTEMS AND METHODS FOR CASH STRUCTURING ACTIVITY MONITORING | June 2023 | August 2023 | Allow | 3 | 0 | 0 | No | No |
| 18305297 | ACCELERATED EMBEDDING LAYER COMPUTATIONS | April 2023 | November 2023 | Allow | 7 | 0 | 0 | No | No |
| 18303119 | Physical Layer Authentication of Electronic Communication Networks | April 2023 | February 2024 | Allow | 10 | 1 | 0 | No | No |
| 18302780 | AUTOMATED CLASSIFICATION BASED ON PHOTO-REALISTIC IMAGE/MODEL MAPPINGS | April 2023 | March 2024 | Allow | 11 | 1 | 0 | No | No |
| 18187010 | METHOD AND SYSTEM FOR CLASSIFYING IMAGES USING IMAGE EMBEDDING | March 2023 | October 2023 | Allow | 7 | 0 | 0 | No | No |
| 18121405 | IMAGE GENERATION DEVICE, IMAGE GENERATION METHOD, AND STORAGE MEDIUM STORING PROGRAM | March 2023 | January 2024 | Allow | 11 | 1 | 0 | No | No |
| 18172979 | VECTOR QUANTIZATION DECODING HARDWARE UNIT FOR REAL-TIME DYNAMIC DECOMPRESSION FOR PARAMETERS OF NEURAL NETWORKS | February 2023 | September 2023 | Allow | 6 | 0 | 0 | No | No |
| 18171066 | System and Method for Player Reidentification in Broadcast Video | February 2023 | August 2023 | Allow | 6 | 0 | 0 | No | No |
| 18166958 | METHOD AND APPARATUS FOR COMBINING DATA TO CONSTRUCT A FLOOR PLAN | February 2023 | July 2023 | Allow | 5 | 0 | 0 | No | No |
| 18164208 | CONVOLUTIONAL NEURAL NETWORKS FOR LOCATING OBJECTS OF INTEREST IN IMAGES OF BIOLOGICAL SAMPLES | February 2023 | May 2023 | Allow | 4 | 0 | 0 | No | No |
| 18161702 | METHODS AND APPARATUS TO DEFEND AGAINST ADVERSARIAL MACHINE LEARNING | January 2023 | May 2023 | Allow | 4 | 0 | 0 | No | No |
| 18101982 | METHOD FOR DETERMINING CORRECT SCANNING DISTANCE USING AUGMENTED REALITY AND MACHINE LEARNING MODELS | January 2023 | February 2024 | Allow | 12 | 1 | 0 | No | No |
| 18155529 | SYSTEMS AND METHODS TO IMPROVE DATA CLUSTERING USING A META-CLUSTERING MODEL | January 2023 | May 2023 | Allow | 4 | 0 | 0 | No | No |
| 18087679 | WIRELESS SENSORS FOR AGRICULTURAL MODULES | December 2022 | March 2024 | Abandon | 15 | 2 | 0 | Yes | No |
| 18011558 | System and Method for Pose Tolerant Feature Extraction Using Generated Pose-Altered Images | December 2022 | October 2023 | Allow | 10 | 0 | 0 | No | No |
| 18059469 | VISION SENSORS, IMAGE PROCESSING DEVICES INCLUDING THE VISION SENSORS, AND OPERATING METHODS OF THE VISION SENSORS | November 2022 | April 2023 | Allow | 4 | 0 | 1 | No | No |
| 18055245 | POOLING UNIT FOR DEEP LEARNING ACCELERATION | November 2022 | March 2023 | Allow | 4 | 0 | 0 | No | No |
| 17980085 | METHOD FOR PHOTOGRAPHING AND READING AN IMAGE, AND APPARATUS THEREFOR | November 2022 | February 2023 | Allow | 4 | 0 | 0 | No | No |
| 17960585 | KEY-VALUE MEMORY NETWORK FOR PREDICTING TIME-SERIES METRICS OF TARGET ENTITIES | October 2022 | February 2023 | Allow | 4 | 0 | 0 | No | No |
| 17960040 | APPARATUS AND METHODS FOR THE OPTIMAL STITCH ZONE CALCULATION OF A GENERATED PROJECTION OF A SPHERICAL IMAGE | October 2022 | April 2023 | Allow | 7 | 0 | 1 | Yes | No |
| 17956452 | APPARATUS AND METHOD FOR SUPPLYING CONTENT AWARE PHOTO FILTERS | September 2022 | August 2023 | Allow | 10 | 2 | 0 | No | No |
| 17949953 | IMAGE ANALYSIS AND PREDICTION BASED VISUAL SEARCH | September 2022 | January 2023 | Allow | 4 | 0 | 0 | No | No |
| 17899936 | Projecting Images To A Generative Model Based On Gradient-free Latent Vector Determination | August 2022 | December 2022 | Allow | 4 | 0 | 0 | No | No |
| 17898523 | IMAGE PROCESSING APPARATUS THAT RETOUCHES AND DISPLAYS PICKED-UP IMAGE, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM | August 2022 | April 2023 | Allow | 8 | 1 | 0 | No | No |
| 17885569 | METHOD FOR IMAGE STABILIZATION BASED ON ARTIFICIAL INTELLIGENCE AND CAMERA MODULE THEREFOR | August 2022 | May 2023 | Allow | 10 | 0 | 1 | No | No |
| 17818811 | SENSITIVITY CLASSIFICATION NEURAL NETWORK | August 2022 | December 2022 | Allow | 4 | 0 | 0 | No | No |
| 17880886 | IMAGE PROCESSING APPARATUS, AND CONTROL METHOD, AND STORAGE MEDIUM THEREOF | August 2022 | May 2023 | Abandon | 10 | 1 | 0 | Yes | No |
| 17878591 | SEQUENCE-OF-SEQUENCES MODEL FOR 3D OBJECT RECOGNITION | August 2022 | April 2023 | Allow | 9 | 1 | 0 | No | No |
| 17876634 | METHOD�AND�APPARATUS�FOR�COMBINING�DATA�TO�CONSTRUCT�A�FOD AND REC | July 2022 | November 2022 | Allow | 3 | 0 | 0 | No | No |
| 17866743 | OBJECT TRACKING | July 2022 | January 2023 | Allow | 6 | 0 | 0 | No | No |
| 17848691 | DATA LOADING METHOD AND APPARATUS FOR CONVOLUTION OPERATION | June 2022 | August 2024 | Allow | 26 | 0 | 0 | No | No |
| 17840750 | AUTO-FOCUS IMAGE SENSOR AND DIGITAL IMAGE PROCESSING DEVICE INCLUDING THE SAME | June 2022 | May 2023 | Abandon | 11 | 1 | 0 | No | No |
| 17834269 | DATA BAND SELECTION USING MACHINE LEARNING | June 2022 | November 2022 | Allow | 6 | 0 | 0 | No | No |
| 17825594 | NON-LINEAR QUANTIZATION WITH SUBSTITUTION IN NEURAL IMAGE COMPRESSION | May 2022 | July 2024 | Allow | 25 | 0 | 0 | No | No |
| 17763984 | GATED ATTENTION NEURAL NETWORKS | March 2022 | March 2024 | Allow | 23 | 0 | 0 | No | No |
| 17760874 | ADAPTIVE READOUT FROM A GLOBAL SHUTTER OPTICAL BIOMETRIC SENSOR | March 2022 | September 2022 | Allow | 6 | 0 | 0 | No | No |
| 17682809 | SUBSTANCE PREPARATION EVALUATION SYSTEM | February 2022 | December 2023 | Allow | 21 | 0 | 0 | No | No |
| 17668325 | Electronic Devices and Corresponding Methods for Defining an Image Orientation of Captured Images | February 2022 | July 2023 | Allow | 17 | 0 | 1 | No | No |
| 17666256 | METHOD FOR DETERMINING CORRECT SCANNING DISTANCE USING AUGMENTED REALITY AND MACHINE LEARNING MODELS | February 2022 | October 2022 | Allow | 9 | 0 | 0 | No | No |
| 17582512 | METHOD AND APPARATUS FOR COMBINING DATA TO CONSTRUCT A FLOOR PLAN | January 2022 | April 2022 | Allow | 3 | 0 | 0 | No | No |
| 17624684 | STITCH IMAGES | January 2022 | February 2024 | Allow | 26 | 0 | 0 | No | No |
| 17556011 | UNIFIED FRAMEWORK FOR MULTIGRID NEURAL NETWORK ARCHITECTURE | December 2021 | March 2024 | Allow | 27 | 0 | 0 | No | No |
| 17620079 | LUMINESCENCE IMAGING WITH REFINING LOOP BASED ON COMBINATION OF PARTIAL ILLUMINATIONS | December 2021 | February 2024 | Allow | 26 | 0 | 0 | No | No |
| 17643586 | Method for Classifying a Tracked Object | December 2021 | February 2024 | Allow | 26 | 0 | 0 | No | No |
| 17539434 | METHOD AND APPARATUS OF PREDICTING FRACTURE RISK | December 2021 | February 2024 | Allow | 27 | 0 | 0 | No | No |
| 17537805 | METHODS AND SYSTEMS FOR GENERATING END-TO-END MODEL TO ESTIMATE 3-DIMENSIONAL(3-D) POSE OF OBJECT | November 2021 | March 2024 | Allow | 27 | 0 | 0 | No | No |
| 17529222 | Artificial Intelligence-Based Determination of Analyte Data for Base Calling | November 2021 | October 2023 | Allow | 23 | 2 | 1 | Yes | No |
| 17455126 | SELF-SUPERVISED HIERARCHICAL EVENT REPRESENTATION LEARNING | November 2021 | December 2023 | Allow | 25 | 0 | 0 | No | No |
| 17455056 | TRANSFER OF DAMAGE MARKERS FROM IMAGES TO 3D VEHICLE MODELS FOR DAMAGE ASSESSMENT | November 2021 | January 2024 | Allow | 26 | 1 | 0 | No | No |
| 17454952 | System and Method for Player Reidentification in Broadcast Video | November 2021 | October 2022 | Allow | 11 | 0 | 0 | No | No |
| 17610215 | INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD | November 2021 | December 2023 | Allow | 25 | 0 | 0 | No | No |
| 17514491 | FILL LIGHT DEVICE, METHOD FOR CONTROLLING FILL LIGHT DEVICE, AND COMPUTER STORAGE MEDIUM | October 2021 | November 2023 | Allow | 25 | 1 | 0 | No | No |
| 17512539 | METHODS, APPARATUSES, AND SYSTEMS FOR UPDATING SERVICE MODEL BASED ON PRIVACY PROTECTION | October 2021 | May 2022 | Allow | 7 | 1 | 0 | No | No |
| 17498269 | Retro-to-Modern Grayscale Image Translation for Preprocessing and Data Preparation of Colorization | October 2021 | January 2024 | Allow | 28 | 0 | 0 | No | No |
| 17442467 | DAZZLE RESILIENT VIDEO CAMERA OR VIDEO CAMERA MODULE | September 2021 | May 2023 | Allow | 19 | 0 | 0 | No | No |
| 17481987 | DEVICE FOR AUTOMATICALLY CAPTURING PHOTO OR VIDEO ABOUT SPECIFIC MOMENT, AND OPERATION METHOD THEREOF | September 2021 | July 2023 | Allow | 22 | 1 | 0 | No | No |
| 17480107 | METHOD FOR DETERMINATION OF SURGICAL PROCEDURE ACCESS | September 2021 | January 2023 | Allow | 16 | 0 | 1 | Yes | No |
| 17470069 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, IMAGING DEVICE, AND PROGRAM | September 2021 | June 2023 | Allow | 22 | 1 | 0 | No | No |
| 17459125 | CONVOLUTIONAL NEURAL NETWORKS FOR LOCATING OBJECTS OF INTEREST IN IMAGES OF BIOLOGICAL SAMPLES | August 2021 | November 2022 | Allow | 14 | 0 | 0 | No | No |
| 17411292 | SUPPLYING CONTENT AWARE PHOTO FILTERS | August 2021 | October 2022 | Allow | 14 | 0 | 0 | No | No |
| 17401563 | NUCLEIC ACID DETECTOR AND IMAGE-BASED NUCLEIC ACID DETECTION METHOD | August 2021 | September 2024 | Abandon | 37 | 0 | 1 | No | No |
| 17428832 | SYSTEM AND METHOD FOR FULLY AUTOMATIC LV SEGMENTATION OF MYOCARDIAL FIRST-PASS PERFUSION IMAGES | August 2021 | November 2023 | Allow | 27 | 0 | 0 | No | No |
| 17393408 | METHOD AND DEVICE FOR DETECTING BLURRINESS OF HUMAN FACE IN IMAGE AND COMPUTER-READABLE STORAGE MEDIUM | August 2021 | August 2023 | Allow | 25 | 0 | 0 | No | No |
| 17384357 | TECHNIQUES FOR DOMAIN TO DOMAIN PROJECTION USING A GENERATIVE MODEL | July 2021 | July 2023 | Allow | 23 | 0 | 0 | No | No |
| 17384338 | Noise-Driven Coupled Dynamic Pattern Recognition Device for Low Power Applications | July 2021 | February 2023 | Allow | 19 | 1 | 0 | No | No |
| 17423481 | PICTURE FOCUSING METHOD, APPARATUS, TERMINAL, AND CORRESPONDING STORAGE MEDIUM | July 2021 | February 2023 | Allow | 19 | 0 | 0 | No | No |
| 17261974 | FOCUS DETECTION DEVICE, IMAGING DEVICE, AND INTERCHANGEABLE LENS | July 2021 | March 2023 | Allow | 26 | 0 | 1 | No | No |
| 17378037 | MATERIAL DETECTION IN X-RAY SECURITY SCREENING | July 2021 | November 2023 | Allow | 28 | 0 | 0 | No | No |
| 17354533 | AERIAL ARRAY SURVEYING OF SURFACES AND SUBSURFACES | June 2021 | July 2023 | Allow | 24 | 0 | 1 | Yes | No |
| 16976747 | FILL LIGHT DEVICE, METHOD FOR CONTROLLING FILL LIGHT DEVICE, AND COMPUTER STORAGE MEDIUM | June 2021 | July 2021 | Allow | 11 | 0 | 0 | No | No |
| 17342434 | Interacted Object Detection Neural Network | June 2021 | September 2022 | Allow | 15 | 0 | 0 | No | No |
| 17341778 | NON-LINEAR LATENT TO LATENT MODEL FOR MULTI-ATTRIBUTE FACE EDITING | June 2021 | August 2023 | Allow | 26 | 0 | 0 | No | No |
| 17342122 | NETWORK MODULARIZATION TO LEARN HIGH DIMENSIONAL ROBOT TASKS | June 2021 | July 2023 | Allow | 26 | 0 | 0 | No | No |
| 17336807 | MINI-BATCH LEARNING APPARATUS, OPERATION PROGRAM OF MINI-BATCH LEARNING APPARATUS, OPERATION METHOD OF MINI-BATCH LEARNING APPARATUS, AND IMAGE PROCESSING APPARATUS | June 2021 | October 2023 | Allow | 28 | 0 | 0 | No | No |
| 17335647 | SATELLITE IMAGE PROCESSING METHOD, NETWORK TRAINING METHOD, RELATED DEVICES AND ELECTRONIC DEVICE | June 2021 | July 2023 | Allow | 25 | 0 | 1 | No | No |
| 17330723 | IMAGE PROCESSING APPARATUS, NEURAL NETWORK TRAINING METHOD, AND IMAGE PROCESSING METHOD THAT INCLUDE A COMMON NETWORK AND PLURALITY OF SINGLE CLASS NETWORKS | May 2021 | May 2024 | Allow | 35 | 2 | 1 | No | No |
| 17329111 | APPARATUS, METHOD AND COMPUTER PROGRAM FOR ANALYZING IMAGE | May 2021 | September 2022 | Allow | 16 | 0 | 0 | Yes | No |
| 17324405 | PATIENT-SPECIFIC, MECHANICAL SELF-LOCKING, FEMORAL AND TIBIAL SURGICAL CUTTING JIGS | May 2021 | February 2024 | Allow | 33 | 0 | 0 | No | No |
| 17294917 | METHOD FOR IDENTIFYING USER'S REAL HAND AND WEARABLE DEVICE THEREFOR | May 2021 | November 2023 | Allow | 30 | 0 | 1 | No | No |
| 17321515 | SYSTEMS AND METHODS FOR IMAGE PROCESSING | May 2021 | July 2024 | Allow | 38 | 2 | 1 | No | No |
| 17320424 | NORMALIZATION METHOD FOR MACHINE-LEARNING AND APPARATUS THEREOF | May 2021 | September 2023 | Allow | 28 | 1 | 1 | No | No |
| 17302770 | SYSTEM FOR TRAINING NEURAL NETWORK USING ORDERED CLASSES | May 2021 | August 2023 | Allow | 27 | 0 | 1 | No | No |
| 17317301 | CLASSIFICATION SYSTEM AND LEARNING SYSTEM | May 2021 | March 2024 | Allow | 34 | 1 | 1 | No | No |
| 17292228 | SEX IDENTIFICATION DEVICE FOR FERTILIZED EGGS, SEX IDENTIFICATION METHOD FOR FERTILIZED EGGS, AND PROGRAM | May 2021 | August 2023 | Allow | 27 | 0 | 0 | No | No |
| 17302532 | SYSTEM AND METHOD FOR HORTICULTURE VIABILITY PREDICTION AND DISPLAY | May 2021 | April 2023 | Allow | 23 | 0 | 0 | No | No |
| 17307701 | Hierarchical Graph Neural Networks for Visual Clustering | May 2021 | August 2023 | Allow | 28 | 0 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner OSINSKI, MICHAEL S.
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, 0.0% 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 OSINSKI, MICHAEL S works in Art Unit 2664 and has examined 437 patent applications in our dataset. With an allowance rate of 95.4%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 21 months.
Examiner OSINSKI, MICHAEL S's allowance rate of 95.4% places them in the 87% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by OSINSKI, MICHAEL S receive 0.64 office actions before reaching final disposition. This places the examiner in the 5% 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 OSINSKI, MICHAEL S is 21 months. This places the examiner in the 85% percentile for prosecution speed. Applications move through prosecution relatively quickly with this examiner.
Conducting an examiner interview provides a -1.6% benefit to allowance rate for applications examined by OSINSKI, MICHAEL S. This interview benefit is in the 7% 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, 38.6% of applications are subsequently allowed. This success rate is in the 86% 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 21.8% 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.
This examiner withdraws rejections or reopens prosecution in 75.0% of appeals filed. This is in the 60% 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 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, 51.4% are granted (fully or in part). This grant rate is in the 63% 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 20% 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 25% 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.