Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18860806 | CASCADED OPTICAL PULSE DISTRIBUTION NETWORK FOR GENERATION OF REPLICATED OPTICAL PULSES | October 2024 | February 2025 | Allow | 4 | 0 | 0 | No | No |
| 18922984 | TENSOR OPERATIONS IN AI MODELS | October 2024 | May 2025 | Allow | 7 | 1 | 0 | No | No |
| 18831206 | INTELLIGENT (SELF-LEARNING) SUBSYSTEM IN ACCESS NETWORKS | September 2024 | February 2025 | Allow | 5 | 1 | 0 | Yes | No |
| 18831207 | SUPER SYSTEM ON CHIP | September 2024 | March 2025 | Allow | 6 | 0 | 0 | No | No |
| 18750756 | RADIOMIC SIGNATURE OF ADIPOSE | June 2024 | June 2025 | Allow | 12 | 1 | 0 | No | No |
| 18744954 | SYSTEM, APPARATUS AND METHOD FOR TWO-WAY TRANSPORT OF DATA OVER A SINGLE FIBER STRAND | June 2024 | February 2025 | Allow | 8 | 1 | 0 | No | No |
| 18744328 | PROCESSING OF BRAIN IMAGE DATA TO ASSIGN VOXELS TO PARCELLATIONS | June 2024 | April 2025 | Allow | 10 | 1 | 0 | No | No |
| 18737449 | Systems and Methods for Accelerated Online Adaptive Radiation Therapy | June 2024 | September 2025 | Allow | 15 | 1 | 0 | No | No |
| 18672515 | DATA PROCESSING SYSTEMS INCLUDING OPTICAL COMMUNICATION MODULES | May 2024 | July 2025 | Allow | 14 | 1 | 0 | No | No |
| 18646112 | SYSTEM AND METHOD OF DISPLAYING IMAGES FROM IMAGING DEVICES | April 2024 | May 2025 | Allow | 13 | 1 | 0 | No | No |
| 18702245 | OPTICAL SWITCHING FOR QUANTUM KEY DISTRIBUTION | April 2024 | March 2026 | Allow | 23 | 0 | 0 | No | No |
| 18632463 | DEEP LEARNING BASED IMAGE ENHANCEMENT | April 2024 | March 2025 | Allow | 11 | 1 | 0 | No | No |
| 18697806 | OPTICAL TRANSMISSION MODULE AND OPTICAL MODULE | April 2024 | February 2026 | Allow | 23 | 0 | 0 | No | No |
| 18600778 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING PROGRAM | March 2024 | January 2025 | Allow | 10 | 1 | 0 | No | No |
| 18601004 | STORAGE DEVICE AND METHOD FOR CONTROLLING THE STORAGE DEVICE | March 2024 | February 2026 | Allow | 23 | 0 | 0 | No | No |
| 18599029 | IMAGE GENERATION USING ADVERSARIAL ATTACKS FOR IMBALANCED DATASETS | March 2024 | January 2025 | Allow | 10 | 1 | 0 | Yes | No |
| 18431151 | Deep Learning Models For Region Of Interest Determination | February 2024 | October 2024 | Allow | 8 | 1 | 0 | No | No |
| 18414647 | PHOTONIC PROCESSOR WITH MULTIPLE LAYERS OF FEEDBACK FOR DIGITAL CURRENCY TRANSACTIONS | January 2024 | March 2026 | Allow | 26 | 0 | 0 | No | No |
| 18411086 | MODEL-GUIDED IMAGING FOR MECHANICAL VENTILATION | January 2024 | January 2026 | Allow | 25 | 1 | 0 | No | No |
| 18401966 | VARIABLE COMPUTE IMAGE BACKBONES | January 2024 | January 2026 | Allow | 24 | 0 | 0 | No | No |
| 18401627 | Method for automated prediction of user data and features using a predictive model | December 2023 | March 2024 | Allow | 2 | 0 | 0 | No | No |
| 18545172 | EYE TRACKING IN NEAR-EYE DISPLAYS | December 2023 | January 2025 | Allow | 13 | 1 | 0 | No | No |
| 18544347 | TRAINING NEURAL NETWORKS USING DATA AUGMENTATION POLICIES | December 2023 | March 2025 | Allow | 15 | 1 | 0 | No | No |
| 18540461 | Multi-channel Dynamic Weather Estimation | December 2023 | October 2025 | Allow | 23 | 0 | 0 | No | No |
| 18538234 | Reservation booking using wearable-based health state verifications | December 2023 | September 2024 | Allow | 9 | 0 | 0 | No | No |
| 18445647 | Intelligent (self-learning) subsystem in access networks | December 2023 | May 2024 | Allow | 5 | 0 | 0 | No | No |
| 18531715 | DETECTING CONTENT IN A REAL-TIME VIDEO STREAM RECORDED BY A DETECTION UNIT | December 2023 | August 2024 | Allow | 8 | 1 | 0 | No | No |
| 18567949 | AUTO-CONFIGURATION OF USB HOST AND PERIPHERAL ROLES IN AN OPTICAL FRONT-END MODULE | December 2023 | December 2025 | Allow | 24 | 0 | 0 | No | No |
| 18568224 | LATENCY EQUALIZATION FOR OPTICAL FILTER | December 2023 | December 2025 | Allow | 25 | 0 | 0 | No | No |
| 18519381 | COMPUTER-IMPLEMENTED METHOD FOR MAPPING A SCAN PROTOCOL FOR SCANNING A PATIENT TO A STANDARDIZED SCAN PROTOCOL | November 2023 | February 2026 | Allow | 27 | 1 | 0 | No | No |
| 18519507 | SYSTEM AND METHOD FOR PROVIDING AN ANALYTICAL RESULT BASED ON A MEDICAL DATA SET USING ML ALGORITHMS | November 2023 | March 2026 | Allow | 27 | 1 | 0 | No | No |
| 18517255 | METHOD FOR GENERATING GROUND TRUTH DATA AND A METHOD AND APPARATUS FOR ESTIMATING A VANISHING POINT USING THE SAME | November 2023 | February 2026 | Allow | 27 | 1 | 0 | No | No |
| 18509138 | RATE-ADAPTIVE CODEC FOR DYNAMIC POINT CLOUD COMPRESSION | November 2023 | February 2026 | Allow | 27 | 1 | 0 | No | No |
| 18501542 | DATA PROCESSING SYSTEMS INCLUDING OPTICAL COMMUNICATION MODULES | November 2023 | April 2024 | Allow | 5 | 1 | 0 | No | No |
| 18496063 | METHOD AND APPARATUS FOR LEARNING DEPENDENCY OF FEATURE DATA | October 2023 | February 2026 | Allow | 28 | 1 | 0 | No | No |
| 18384586 | MULTI-TURN DIALOGUE RESPONSE GENERATION USING ASYMMETRIC ADVERSARIAL MACHINE CLASSIFIERS | October 2023 | June 2024 | Allow | 8 | 0 | 0 | No | No |
| 18487800 | 3D POSE ESTIMATION IN ROBOTICS | October 2023 | August 2024 | Allow | 10 | 1 | 0 | No | No |
| 18555346 | METHOD FOR PREDICTING GEOLOGICAL FEATURES FROM THIN SECTION IMAGES USING A DEEP LEARNING CLASSIFICATION PROCESS | October 2023 | October 2025 | Allow | 24 | 0 | 0 | No | No |
| 18485174 | DEVICE AND METHOD FOR DETERMINING AN ENCODER CONFIGURED IMAGE ANALYSIS | October 2023 | March 2026 | Allow | 29 | 1 | 0 | No | No |
| 18484195 | Distributed Sensing for Augmented Reality Headsets | October 2023 | September 2025 | Allow | 23 | 0 | 0 | No | No |
| 18476998 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM | September 2023 | November 2025 | Allow | 26 | 1 | 0 | No | No |
| 18284076 | Neural Network Inference Acceleration Method, Target Detection Method, Device, and Storage Medium | September 2023 | January 2026 | Allow | 28 | 1 | 0 | No | No |
| 18473543 | Bundling capacity changes in channel holder based optical links | September 2023 | January 2026 | Allow | 28 | 1 | 0 | No | No |
| 18468802 | MODEL-BASED RECONSTRUCTION FOR GRASP MRI | September 2023 | March 2026 | Allow | 29 | 1 | 0 | No | No |
| 18368897 | METHOD, SYSTEM AND APPARATUS FOR IMAGE ORIENTATION CORRECTION | September 2023 | January 2026 | Allow | 28 | 1 | 0 | Yes | No |
| 18464247 | SYSTEMS AND METHODS FOR BRAIN IDENTIFIER LOCALIZATION | September 2023 | December 2025 | Allow | 27 | 1 | 0 | No | No |
| 18457894 | IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, AND STORAGE MEDIUM | August 2023 | December 2025 | Allow | 27 | 1 | 0 | No | No |
| 18449512 | CHROMATIC DISPERSION PRE-COMPENSATION OVER BI-DIRECTIONAL OPTICAL LINK | August 2023 | June 2025 | Allow | 22 | 0 | 0 | No | No |
| 18364728 | ONLINE ADAPTATION OF SEGMENTATION MACHINE LEARNING SYSTEMS | August 2023 | January 2026 | Allow | 30 | 1 | 0 | No | No |
| 18229242 | CAMERA HEIGHT ESTIMATION | August 2023 | September 2025 | Allow | 25 | 1 | 0 | No | No |
| 18228751 | OPTICAL TRANSMITTER AND BIAS CONTROL METHOD | August 2023 | October 2025 | Allow | 26 | 1 | 0 | No | No |
| 18360078 | OPTICAL TRANSMITTER, OPTICAL COMMUNICATION SYSTEM, AND OPTICAL COMMUNICATION METHOD | July 2023 | July 2024 | Allow | 11 | 1 | 0 | No | No |
| 18262984 | METHOD FOR DETERMINING THE ENCODER ARCHITECTURE OF A NEURAL NETWORK | July 2023 | July 2025 | Allow | 24 | 0 | 0 | No | No |
| 18356315 | METHOD AND SYSTEM FOR TRACKING OBJECT BY AGGREGATION NETWORK BASED ON HYBRID CONVOLUTION AND SELF-ATTENTION | July 2023 | July 2025 | Allow | 24 | 0 | 0 | No | No |
| 18224354 | MODULAR ANTENNA SYSTEMS AND RELATED METHODS OF MANUFACTURE | July 2023 | July 2024 | Allow | 12 | 1 | 0 | No | No |
| 18222476 | GESTURE RECOGNITION METHOD AND APPARATUS, ELECTRONIC DEVICE, READABLE STORAGE MEDIUM, AND CHIP | July 2023 | January 2026 | Allow | 30 | 1 | 0 | No | No |
| 18222253 | MANAGEMENT SYSTEM, MANAGEMENT APPARATUS, AND MANAGEMENT METHOD | July 2023 | May 2025 | Allow | 22 | 0 | 0 | No | No |
| 18222374 | System and method of generating a color-coded image demonstrating blood flow | July 2023 | October 2025 | Allow | 27 | 1 | 0 | No | No |
| 18347829 | METHODS, APPARATUSES, AND OPTICAL NETWORK DEVICES FOR UPLINK FEC ENCODING AND DECODING | July 2023 | August 2025 | Allow | 25 | 1 | 0 | Yes | No |
| 18217904 | APPARATUS AND METHOD FOR DETECTING AN OBJECT AND A COMPUTER READABLE RECORDING MEDIUM THEREFOR | July 2023 | August 2025 | Allow | 25 | 0 | 0 | No | No |
| 18270764 | TRAINING APPARATUS, CLASSIFICATION APPARATUS, TRAINING METHOD, CLASSIFICATION METHOD, AND PROGRAM | July 2023 | December 2025 | Allow | 30 | 1 | 0 | No | No |
| 18216968 | ONLINE CORRECTION FOR CONTEXT-AWARE IMAGE ANALYSIS FOR OBJECT CLASSIFICATION | June 2023 | February 2026 | Allow | 31 | 1 | 0 | Yes | No |
| 18344577 | IMAGES FOR PERCEPTION MODULES OF AUTONOMOUS VEHICLES | June 2023 | August 2024 | Allow | 14 | 1 | 0 | No | No |
| 18340423 | SYNTHETIC-TO-REALISTIC IMAGE CONVERSION USING GENERATIVE ADVERSARIAL NETWORK (GAN) OR OTHER MACHINE LEARNING MODEL | June 2023 | November 2025 | Allow | 29 | 1 | 0 | No | No |
| 18212742 | NEURAL NETWORK MULTI-ATTRIBUTE FACIAL ENCODER AND DECODER | June 2023 | February 2026 | Allow | 32 | 1 | 0 | No | No |
| 18210352 | IMAGE TRANSLATION FOR IMAGE RECOGNITION TO COMPENSATE FOR SOURCE IMAGE REGIONAL DIFFERENCES | June 2023 | September 2024 | Allow | 15 | 1 | 0 | Yes | No |
| 18330857 | Method and Device for Training a Neural Network | June 2023 | October 2025 | Allow | 29 | 1 | 0 | No | No |
| 18202970 | SYSTEM AND METHOD FOR GENERATING LARGE SIMULATION DATA SETS FOR TESTING AN AUTONOMOUS DRIVER | May 2023 | January 2025 | Allow | 19 | 1 | 0 | No | No |
| 18201937 | LEARNING AND DETECTION METHOD OF NEURAL NETWORK MODEL FOR FLAME DETERMINATION, AND APPARATUS PERFORMING THE SAME | May 2023 | April 2024 | Allow | 10 | 1 | 0 | No | No |
| 18322940 | OBJECT CLASSIFICATION USING MULTIPLE LABELS FOR AUTONOMOUS SYSTEMS AND APPLICATIONS | May 2023 | December 2025 | Allow | 31 | 1 | 0 | No | No |
| 18318556 | WEAKLY SUPERVISED SEMANTIC PARSING | May 2023 | September 2025 | Allow | 28 | 1 | 0 | Yes | No |
| 18316365 | NEURAL NETWORK MODEL TRAINING METHOD, IMAGE PROCESSING METHOD, AND APPARATUS | May 2023 | June 2025 | Allow | 25 | 0 | 0 | No | No |
| 18314579 | TERRAIN-AWARE OBJECT DETECTION FOR VEHICLE APPLICATIONS | May 2023 | February 2026 | Abandon | 34 | 1 | 0 | No | No |
| 18141603 | DATA AUGMENTATION METHOD, LEARNING DEVICE, AND RECORDING MEDIUM | May 2023 | May 2025 | Allow | 25 | 0 | 0 | No | No |
| 18299208 | DETECTING CONTENT IN A REAL-TIME VIDEO STREAM RECORDED BY A DETECTION UNIT | April 2023 | November 2023 | Allow | 8 | 1 | 0 | No | No |
| 18297342 | MACHINE LEARNING CLASSIFICATION BASED ON SEPARATE PROCESSING OF MULTIPLE VIEWS | April 2023 | March 2024 | Allow | 11 | 1 | 0 | No | No |
| 18194109 | COMPONENT ASSESSMENT METHOD AND APPARATUS | March 2023 | September 2025 | Allow | 30 | 1 | 0 | No | No |
| 18194526 | COMPUTER IMPLEMENTED METHOD FOR CONTINUAL LEARNING OF A PLURALITY OF TASKS | March 2023 | June 2025 | Allow | 27 | 0 | 0 | No | No |
| 18192353 | System and Method for Tomographic Imaging | March 2023 | March 2026 | Allow | 35 | 1 | 0 | No | No |
| 18191758 | LEARNING APPARATUS, RECOGNITION APPARATUS, LEARNING METHOD, AND STORAGE MEDIUM | March 2023 | October 2025 | Allow | 31 | 1 | 0 | No | No |
| 18122597 | SYSTEMS AND METHODS FOR IDENTIFYING A SOURCE OF A DEGRADATION IN A PASSIVE OPTICAL NETWORK | March 2023 | September 2023 | Allow | 6 | 1 | 0 | No | No |
| 18184911 | ANOMALY DETECTION USING MASKED AUTO-ENCODER | March 2023 | September 2025 | Allow | 30 | 1 | 0 | Yes | No |
| 18183954 | LEARNING APPARATUS, METHOD, AND PROGRAM, IMAGE GENERATION APPARATUS, METHOD, AND PROGRAM, TRAINED MODEL, VIRTUAL IMAGE, AND RECORDING MEDIUM | March 2023 | September 2025 | Allow | 30 | 1 | 0 | No | No |
| 18181967 | PRODUCT RECOGNITION METHOD, MODEL TRAINING METHOD, DEVICE AND ELECTRONIC DEVICE | March 2023 | September 2025 | Allow | 31 | 1 | 0 | No | No |
| 18116539 | Adaptive bundling for capacity changes in channel holder based optical links | March 2023 | August 2025 | Allow | 29 | 1 | 0 | No | No |
| 18174856 | LANDMARK DETECTION USING CURVE FITTING FOR AUTONOMOUS DRIVING APPLICATIONS | February 2023 | April 2025 | Allow | 25 | 1 | 0 | Yes | No |
| 18114567 | MULTI-TURN DIALOGUE RESPONSE GENERATION USING ASYMMETRIC ADVERSARIAL MACHINE CLASSIFIERS | February 2023 | August 2023 | Allow | 5 | 1 | 0 | No | No |
| 18023506 | METHOD AND SYSTEM FOR DETECTING AND CLASSIFYING OBJECTS OF IMAGE | February 2023 | October 2025 | Allow | 32 | 1 | 0 | No | No |
| 18113975 | DATA PROCESSING SYSTEMS INCLUDING OPTICAL COMMUNICATION MODULES | February 2023 | August 2023 | Allow | 5 | 1 | 0 | No | No |
| 18112515 | METHOD FOR ORDERING CUSTOMIZED INSOLE USING ARTIFICIAL INTELLIGENCE ALGORITHM | February 2023 | November 2025 | Abandon | 33 | 1 | 0 | No | No |
| 18112081 | OPTICAL AMPLIFIER BURST MODE COMMUNICATION WITH VARIABLE DUTY CYCLE | February 2023 | November 2023 | Allow | 9 | 1 | 0 | No | No |
| 18108956 | LIGHTWEIGHT MODEL TRAINING METHOD, IMAGE PROCESSING METHOD, ELECTRONIC DEVICE, AND STORAGE MEDIUM | February 2023 | May 2025 | Allow | 27 | 0 | 0 | No | No |
| 18168247 | DETECTING INTERACTIONS WITH NON-DISCRETIZED ITEMS AND ASSOCIATING INTERACTIONS WITH ACTORS USING DIGITAL IMAGES | February 2023 | October 2023 | Allow | 8 | 1 | 0 | No | No |
| 17779681 | OPTICAL TRANSMITTER | February 2023 | March 2026 | Allow | 46 | 1 | 0 | No | No |
| 18108282 | TRAINING IMAGE CLASSIFIERS | February 2023 | February 2024 | Allow | 12 | 1 | 0 | No | No |
| 18165934 | LEARNING APPARATUS, LEARNING METHOD, PROGRAM, TRAINED MODEL, AND ENDOSCOPE SYSTEM | February 2023 | April 2025 | Allow | 26 | 0 | 0 | No | No |
| 18159492 | TEACHING STUDENT NETWORK FOR END-TO-END SEMI-SUPERVISED OBJECT DETECTION | January 2023 | April 2025 | Allow | 26 | 0 | 0 | No | No |
| 18156017 | DATA MINING USING MACHINE LEARNING | January 2023 | January 2026 | Allow | 36 | 1 | 0 | No | No |
| 18068118 | System and Method for Long-Distance Recognition and Personalization of Gestures | December 2022 | September 2025 | Allow | 33 | 1 | 0 | No | No |
| 18084159 | VARIABLE BANDWIDTH FREE-SPACE OPTICAL COMMUNICATION SYSTEM FOR AUTONOMOUS OR SEMI-AUTONOMOUS PASSENGER VEHICLES | December 2022 | March 2024 | Allow | 15 | 2 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner ISMAIL, OMAR S.
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, 33.3% 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 ISMAIL, OMAR S works in Art Unit 2635 and has examined 120 patent applications in our dataset. With an allowance rate of 96.7%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 31 months.
Examiner ISMAIL, OMAR S's allowance rate of 96.7% 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 ISMAIL, OMAR S receive 1.29 office actions before reaching final disposition. This places the examiner in the 18% 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 ISMAIL, OMAR S is 31 months. This places the examiner in the 55% percentile for prosecution speed. Prosecution timelines are slightly faster than average with this examiner.
Conducting an examiner interview provides a +4.1% benefit to allowance rate for applications examined by ISMAIL, OMAR S. This interview benefit is in the 27% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.
When applicants file an RCE with this examiner, 33.3% of applications are subsequently allowed. This success rate is in the 72% 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 76.9% of cases where such amendments are filed. This entry rate is in the 95% 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 10% 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 75.0% of appeals filed. This is in the 64% 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 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, 72.7% are granted (fully or in part). This grant rate is in the 79% 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 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 26% 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.