Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19028392 | BODY APPENDAGE POSITION PREDICTION USING ELECTROCARDIOGRAM DATA | January 2025 | April 2025 | Allow | 3 | 0 | 0 | No | No |
| 18977648 | METHOD, APPARATUS, DEVICE AND STORAGE MEDIUM FOR PRESENTING SESSION MESSAGE | December 2024 | November 2025 | Allow | 11 | 2 | 0 | No | No |
| 18736594 | METHODS AND SYSTEMS FOR DISPLAYING INTERACTIVE INTERFACE OF RECOMMENDED BEHAVIOR | June 2024 | March 2025 | Allow | 9 | 0 | 0 | No | No |
| 18736240 | PLUGIN SYSTEM AND PATHWAY ARCHITECTURE | June 2024 | February 2025 | Allow | 8 | 0 | 0 | No | No |
| 18736181 | SYSTEMS AND METHODS FOR INCREASING CONTROL USING A NEURAL SIGNAL | June 2024 | January 2025 | Allow | 8 | 0 | 0 | Yes | No |
| 18671936 | METHODS FOR ADJUSTING AND/OR CONTROLLING IMMERSION ASSOCIATED WITH USER INTERFACES | May 2024 | January 2025 | Allow | 8 | 0 | 0 | Yes | No |
| 18669788 | INERTIAL SENSING OF TONGUE GESTURES | May 2024 | March 2025 | Allow | 10 | 1 | 0 | Yes | No |
| 18663729 | ON-SCREEN KEYBOARD USER INTERFACE WITH CONTEXT-AWARE HAPTIC FEEDBACK | May 2024 | December 2024 | Allow | 7 | 0 | 0 | No | No |
| 18644413 | METHOD OF CONTROLLING DISPLAY MODULE AND ELECTRONIC DEVICE PERFORMING THE METHOD | April 2024 | December 2024 | Allow | 7 | 0 | 0 | No | No |
| 18618268 | BUILDING SYSTEM WITH A BUILDING GRAPH | March 2024 | November 2025 | Allow | 19 | 0 | 0 | Yes | No |
| 18613417 | Using a Web Proxy to Provide a Secure Remotely Controlled System, Device, and Method | March 2024 | March 2025 | Allow | 12 | 2 | 0 | No | No |
| 18586029 | DYNAMIC COMPUTIING TOUCHPOINT JOURNEY RECOMMENDATION PLATFORM | February 2024 | April 2025 | Allow | 14 | 2 | 0 | Yes | No |
| 18443888 | AUTOMATED DETECTION OF A PHYSICAL BEHAVIOR EVENT AND CORRESPONDING ADJUSTMENT OF A MEDICATION DISPENSING SYSTEM | February 2024 | April 2025 | Allow | 14 | 2 | 0 | Yes | No |
| 18411385 | SIMULATED REALITY TECHNOLOGIES FOR ENHANCED MEDICAL PROTOCOL TRAINING | January 2024 | August 2024 | Allow | 7 | 0 | 0 | Yes | No |
| 18399424 | DISTRIBUTED MANAGEMENT OF SECURE WI-FI NETWORK | December 2023 | September 2024 | Allow | 9 | 0 | 0 | No | No |
| 18395291 | INTERLEAVED CHARACTER SELECTION INTERFACE | December 2023 | August 2024 | Allow | 8 | 0 | 0 | No | No |
| 18536877 | METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR FACILITATING THE PLAYBACK OF INTERFACE EVENTS | December 2023 | October 2024 | Allow | 10 | 0 | 0 | No | No |
| 18385187 | ADAPTATION(S) BASED ON CORRELATING HAZARDOUS VEHICLE EVENTS WITH APPLICATION FEATURE(S) | October 2023 | May 2025 | Allow | 19 | 2 | 0 | Yes | No |
| 18494111 | SYSTEMS AND METHODS FOR DETERMINING CREDIBILITY AT SCALE | October 2023 | January 2025 | Abandon | 15 | 1 | 0 | No | No |
| 18382924 | AUTONOMOUS ROBOT DELIVERY SYSTEMS AND METHODS | October 2023 | April 2025 | Allow | 18 | 2 | 0 | Yes | No |
| 18464256 | SYSTEM AND METHOD FOR FOOD SAFETY AUDIT AND SAMPLING | September 2023 | October 2025 | Allow | 25 | 0 | 0 | No | No |
| 18230635 | Apparatus And Method For A Simplified Menu Screen In Handheld Wireless Devices | August 2023 | June 2025 | Allow | 22 | 2 | 0 | Yes | No |
| 18356088 | METHOD FOR CONTROLLING A TECHNICAL SYSTEM | July 2023 | March 2026 | Allow | 32 | 0 | 0 | No | No |
| 18347841 | DESIGN OPTIMIZATION FOR FINITE STATE MACHINE MODELED SYSTEMS | July 2023 | February 2026 | Allow | 32 | 0 | 0 | No | No |
| 18215512 | CUSTOMIZED SEEK BAR | June 2023 | May 2025 | Allow | 22 | 2 | 0 | No | No |
| 18329964 | CURSOR MANAGEMENT METHODS AND SYSTEMS | June 2023 | January 2025 | Allow | 20 | 1 | 0 | Yes | No |
| 18326242 | APPARATUS FOR MOTOR IMAGERY TRAINING COMBINED WITH SOMATOSENSORY STIMULI AND OPERATION METHOD THEREOF | May 2023 | March 2026 | Allow | 33 | 0 | 0 | No | No |
| 18312546 | Cybersecurity Maturity Assessment | May 2023 | August 2024 | Allow | 15 | 1 | 0 | No | No |
| 18308167 | COMBINING GENERATIVE ALIGNERS AND TRANSITION-BASED PARSERS | April 2023 | February 2026 | Allow | 34 | 1 | 0 | No | No |
| 18300877 | BOUNDING AREA PLANNING USING A CONGESTION PREDICTION MODEL | April 2023 | January 2026 | Allow | 34 | 0 | 0 | No | No |
| 18194593 | GRAPHICAL USER INTERFACE FOR A FLOW THERAPY APPARATUS | March 2023 | August 2024 | Allow | 17 | 1 | 0 | No | No |
| 18183864 | ADAPTIVE LEARNING ENVIRONMENT DRIVEN BY REAL-TIME IDENTIFICATION OF ENGAGEMENT LEVEL | March 2023 | October 2024 | Allow | 19 | 3 | 0 | Yes | No |
| 18116003 | PROMPT MODIFICATION FOR AUTOMATED IMAGE GENERATION | March 2023 | June 2024 | Allow | 15 | 2 | 0 | No | No |
| 18173533 | REAL-TIME QUBIT INFORMATION SERVICE | February 2023 | September 2025 | Allow | 31 | 0 | 0 | No | No |
| 18111649 | INTELLIGENT PROVISIONING OF QUANTUM PROGRAMS TO QUANTUM HARDWARE | February 2023 | November 2025 | Allow | 33 | 0 | 0 | No | No |
| 18171427 | REPRESENTATION LEARNING APPARATUS, METHOD, AND STORAGE MEDIUM | February 2023 | October 2025 | Allow | 32 | 0 | 0 | No | No |
| 18103428 | SIMULATED LOW BIT-WIDTH QUANTIZATION USING BIT SHIFTED NEURAL NETWORK PARAMETERS | January 2023 | October 2025 | Allow | 33 | 0 | 0 | No | No |
| 18018377 | Method for Training a Classifier to Ascertain a Handheld Machine Tool Device State | January 2023 | March 2026 | Abandon | 38 | 1 | 0 | No | No |
| 18159075 | BAYESIAN VARIATIONAL INFERENCE USING ASYMMETRIC HAMILTONIAN MONTE CARLO | January 2023 | October 2025 | Allow | 33 | 0 | 0 | No | No |
| 18094679 | SYSTEM, METHOD, AND COMPUTER PROGRAM FOR COMPUTING CHANGE-AGNOSTIC DATA POINTS THROUGH VARIABILITY EXPLANATION STRESS TESTING | January 2023 | September 2025 | Allow | 32 | 0 | 0 | No | No |
| 18148535 | SYSTEM AND METHOD FOR ELECTRONIC IDENTIFICATION OF BIOMARKERS ASSOCIATED WITH PATHOLOGY | December 2022 | October 2025 | Allow | 33 | 0 | 0 | No | No |
| 18090628 | MEMORY DEVICE FOR OPTIMIZING COMPUTATION OF CONVOLUTION LAYER, METHOD FOR CONTROLLING MEMORY DEVICE, AND RECORDING MEDIUM STORING INSTRUCTION TO PERFORM METHOD FOR CONTROLLING MEMORY DEVICE | December 2022 | March 2026 | Allow | 38 | 1 | 0 | No | No |
| 18087976 | AUTOMATED GROUND TRUTH GENERATION USING A NEURO-SYMBOLIC METAMODEL | December 2022 | September 2025 | Allow | 33 | 0 | 0 | No | No |
| 18082123 | SYSTEMS AND METHODS FOR AI INFERENCE PLATFORM AND SENSOR CORRELATION | December 2022 | February 2026 | Allow | 38 | 1 | 0 | Yes | No |
| 18065395 | INTELLIGENT UPGRADE WORKFLOW FOR A CONTAINER ORCHESTRATION SYSTEM | December 2022 | September 2025 | Allow | 33 | 0 | 0 | No | No |
| 18071770 | VISUALLY DEPICTING A TOPOLOGY OF A QUANTUM DEVICE THAT CONVEYS QUANTUM OPERATIONAL CHARACTERISTICS | November 2022 | August 2025 | Allow | 33 | 0 | 0 | No | No |
| 18060498 | SIMULATING QUANTUM COMPUTING CIRCUITS USING KRONECKER FACTORIZATION | November 2022 | August 2025 | Allow | 33 | 0 | 0 | No | No |
| 18070858 | SYSTEM AND METHOD FOR ONLINE TIME-SERIES FORECASTING USING SPIKING RESERVOIR | November 2022 | August 2025 | Allow | 32 | 0 | 0 | No | No |
| 17988168 | METHOD AND APPARATUS FOR PROCESSING SYNTHETIC FEATURES, MODEL TRAINING METHOD, AND ELECTRONIC DEVICE | November 2022 | August 2025 | Allow | 33 | 0 | 0 | No | No |
| 17986771 | CONTROLLING A QUANTUM COMPUTING SYSTEM USING IMAGINARY-TIME EVOLUTION | November 2022 | August 2025 | Allow | 33 | 0 | 0 | No | No |
| 18054235 | METHODS, SYSTEMS AND DEVICES FOR REMOTELY MANAGING ONE OR MORE ELECTRONIC DEVICES | November 2022 | February 2026 | Allow | 39 | 0 | 0 | No | No |
| 18053072 | QUANTUM-CAPACITANCE SIMULATION USING GAUSSIAN-SUBSPACE AGGREGATION | November 2022 | August 2025 | Allow | 33 | 0 | 0 | No | No |
| 17971458 | UNIVERSAL GATE PULSE FOR TWO-QUBIT GATES ON A TRAPPED-ION QUANTUM COMPUTER | October 2022 | September 2025 | Allow | 35 | 0 | 0 | No | No |
| 18046454 | Method and Apparatus for Entraining Signals | October 2022 | July 2025 | Allow | 33 | 0 | 0 | No | No |
| 17955029 | MULTI-OBJECTIVE WORK PRIORITIZATION FOR COMMON ASSETS | September 2022 | July 2025 | Allow | 34 | 0 | 0 | No | No |
| 17936045 | Capturing Data Properties to Recommend Machine Learning Models for Datasets | September 2022 | February 2026 | Allow | 40 | 1 | 0 | Yes | No |
| 17954059 | SYSTEM AND METHOD FOR EFFICIENT ESTIMATION OF CUMULATIVE DISTRIBUTION FUNCTION | September 2022 | July 2025 | Allow | 42 | 0 | 0 | No | No |
| 17952194 | QUALITY DETECTION OF VARIANT CALLING USING A MACHINE LEARNING CLASSIFIER | September 2022 | July 2025 | Allow | 34 | 0 | 0 | No | No |
| 17930860 | GENERATING AND UTILIZING PERFORATIONS TO IMPROVE DECISION MAKING | September 2022 | March 2025 | Allow | 30 | 0 | 0 | No | No |
| 17901947 | INTELLIGENT QUANTUM CIRCUIT GENERATION | September 2022 | July 2025 | Allow | 34 | 0 | 0 | No | No |
| 17821921 | WIDGET DISPLAY METHOD AND APPARATUS | August 2022 | January 2026 | Allow | 41 | 0 | 0 | No | No |
| 17822065 | SAMPLE DATA GENERATION FOR A MOCKING SERVICE | August 2022 | June 2025 | Allow | 34 | 0 | 0 | No | No |
| 17821587 | AUTOMATED MACHINE LEARNING FOR NETWORK-BASED DATABASE SYSTEMS | August 2022 | January 2026 | Allow | 41 | 1 | 0 | No | No |
| 17893451 | MACHINE LEARNING TRAINING CONTENT DELIVERY | August 2022 | January 2026 | Allow | 40 | 1 | 0 | Yes | No |
| 17883844 | METHOD AND DEVICE WITH NEURAL NETWORK MODEL | August 2022 | June 2025 | Allow | 34 | 0 | 0 | No | No |
| 17797678 | POLICY ESTIMATION METHOD, POLICY ESTIMATION APPARATUS AND PROGRAM | August 2022 | June 2025 | Allow | 34 | 0 | 0 | No | No |
| 17788025 | SYSTEM AND METHOD FOR THE QUALITY ASSURANCE OF DATA-BASED MODELS | June 2022 | May 2025 | Allow | 35 | 0 | 0 | Yes | No |
| 17839252 | Efficient Cross-Platform Serving of Deep Neural Networks for Low Latency Applications | June 2022 | October 2025 | Allow | 41 | 1 | 0 | No | No |
| 17741795 | GRAPH NEURAL NETWORK BASED CLOUD TRAFFIC PREDICTION AND OPTIMIZATION | May 2022 | May 2025 | Allow | 36 | 0 | 0 | No | No |
| 17731939 | EVENT PROCESSING BASED ON MULTIPLE TIME WINDOWS | April 2022 | February 2026 | Allow | 45 | 1 | 0 | No | No |
| 17768495 | USER FEATURE VALUE MEASUREMENT METHOD AND APPARATUS, STORAGE MEDIUM AND ELECTRONIC DEVICE | April 2022 | January 2026 | Allow | 45 | 1 | 0 | No | No |
| 17717527 | METHODS AND APPARATUS FOR AUTOMATED ENTERPRISE MACHINE LEARNING WITH DATA FUSED FROM MULTIPLE DOMAINS | April 2022 | February 2025 | Allow | 34 | 0 | 0 | No | No |
| 17710510 | CORRECTING TIME SERIES PREDICTIONS FOR SEASONALITY WITH TRENDS | March 2022 | August 2025 | Allow | 41 | 0 | 0 | No | No |
| 17657431 | TWO-DIMENSIONAL MESH FOR COMPUTE-IN-MEMORY ACCELERATOR ARCHITECTURE | March 2022 | June 2025 | Allow | 39 | 0 | 0 | No | No |
| 17695517 | FOLDABLE SCREEN DISPLAY METHOD AND ELECTRONIC DEVICE | March 2022 | February 2025 | Allow | 35 | 5 | 0 | No | No |
| 17651210 | Jeans with Laser Finishing Patterns Created by Neural Network | February 2022 | February 2025 | Allow | 36 | 0 | 0 | No | No |
| 17668075 | METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR INFERRING DEVICE RENDERED OBJECT INTERACTION BEHAVIOR | February 2022 | July 2024 | Allow | 29 | 2 | 0 | No | No |
| 17589445 | MONITORING AND VISUALIZATION OF MODEL-BASED CLUSTERING DEFINITION PERFORMANCE | January 2022 | May 2025 | Allow | 39 | 0 | 0 | No | No |
| 17583899 | MACHINE LEARNING TECHNIQUES FOR PARASOMNIA EPISODE MANAGEMENT | January 2022 | May 2025 | Allow | 39 | 0 | 0 | No | No |
| 17571098 | TRANSFORMING MODEL DATA | January 2022 | January 2026 | Allow | 49 | 2 | 0 | Yes | No |
| 17623128 | ESTIMATING THE FIDELITY OF QUANTUM LOGIC GATES AND QUANTUM CIRCUITS | December 2021 | August 2025 | Allow | 43 | 0 | 0 | No | No |
| 17539143 | EXTRACTION RULE GENERATION USING CLUSTERING | November 2021 | March 2025 | Allow | 39 | 0 | 0 | No | No |
| 17529067 | CONSTRAINT BASED INFERENCE AND MACHINE LEARNING SYSTEM | November 2021 | December 2024 | Allow | 37 | 0 | 0 | No | No |
| 17500946 | METHOD FOR ESTABLISHING DEFECT DETECTION MODEL AND ELECTRONIC APPARATUS | October 2021 | January 2026 | Allow | 51 | 2 | 0 | No | No |
| 17498651 | GAIN SCALING OF INPUT TO NEURAL NETWORK FOR END-TO-END LEARNING IN WIRELESS COMMUNICATION SYSTEM | October 2021 | May 2025 | Allow | 43 | 0 | 0 | No | No |
| 17493790 | NEURAL NETWORKS WITH PRE-NORMALIZED LAYERS OR REGULARIZATION NORMALIZATION LAYERS | October 2021 | November 2024 | Allow | 38 | 0 | 0 | No | No |
| 17601105 | PREDICTING BIOLOGICAL FUNCTIONS OF PROTEINS USING DILATED CONVOLUTIONAL NEURAL NETWORKS | October 2021 | March 2025 | Allow | 42 | 0 | 0 | No | No |
| 17492127 | SYSTEMS AND METHODS FOR GENERATING TRAINING DATA FOR SEQUENTIAL CONVERSATIONAL RESPONSES | October 2021 | December 2024 | Allow | 38 | 0 | 0 | Yes | No |
| 17481655 | METHOD AND INFORMATION PROCESSING APPARATUS THAT PERFORM TRANSFER LEARNING WHILE SUPPRESSING OCCURRENCE OF CATASTROPHIC FORGETTING | September 2021 | September 2024 | Allow | 36 | 0 | 0 | No | No |
| 17479770 | SYSTEMS AND METHODS TO MIMIC TARGET FOOD ITEMS USING ARTIFICIAL INTELLIGENCE | September 2021 | October 2024 | Allow | 37 | 0 | 0 | No | No |
| 17478957 | METHOD FOR SHARING ELECTRONIC CONTENT OR COMMENTS TO SPECIFIC USERS | September 2021 | January 2025 | Allow | 40 | 4 | 0 | No | No |
| 17471903 | GENERATIVE TNA SEQUENCE DESIGN WITH EXPERIMENT-IN-THE-LOOP TRAINING | September 2021 | September 2024 | Allow | 36 | 0 | 0 | No | No |
| 17468605 | Outlier Determination Among Models of Future Event Prediction | September 2021 | April 2025 | Allow | 43 | 1 | 0 | No | No |
| 17461424 | TIME-RESTRICTED MACHINE LEARNING MODELS | August 2021 | September 2025 | Allow | 48 | 0 | 0 | No | No |
| 17434849 | ROBUST MODEL PERFORMANCE ACROSS DISPARATE SUB-GROUPS WITHIN A SAME GROUP | August 2021 | November 2024 | Allow | 38 | 0 | 0 | No | No |
| 17408852 | ORDINAL TIME SERIES CLASSIFICATION WITH MISSING INFORMATION | August 2021 | August 2024 | Allow | 36 | 0 | 0 | No | No |
| 17402683 | Making an Enabled Capability | August 2021 | February 2026 | Allow | 54 | 2 | 1 | Yes | No |
| 17332223 | COMPUTER-AUTOMATED PROCESSING WITH RULE-SUPPLEMENTED MACHINE LEARNING | May 2021 | March 2025 | Allow | 45 | 1 | 0 | No | No |
| 17326098 | SUBJECT-AWARE CONTRASTIVE LEARNING FOR BIOSIGNALS | May 2021 | May 2025 | Allow | 48 | 1 | 0 | Yes | No |
| 17317644 | ARTIFICIAL INTELLIGENCE-DRIVEN QUANTUM COMPUTING | May 2021 | February 2025 | Allow | 46 | 1 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner CHOI, DAVID E.
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, 62.5% 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 face challenges. Ensure your case has strong merit before committing to full Board review.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner CHOI, DAVID E works in Art Unit 2148 and has examined 79 patent applications in our dataset. With an allowance rate of 98.7%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 41 months.
Examiner CHOI, DAVID E's allowance rate of 98.7% places them in the 92% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by CHOI, DAVID E receive 2.47 office actions before reaching final disposition. This places the examiner in the 72% 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 CHOI, DAVID E is 41 months. This places the examiner in the 21% percentile for prosecution speed. Applications take longer to reach final disposition with this examiner compared to most others.
Conducting an examiner interview provides a -2.9% benefit to allowance rate for applications examined by CHOI, DAVID E. 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, 23.8% of applications are subsequently allowed. This success rate is in the 34% 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 29.7% of cases where such amendments are filed. This entry rate is in the 43% percentile among all examiners. Strategic Recommendation: This examiner shows below-average receptiveness to after-final amendments. You may need to file an RCE or appeal rather than relying on after-final amendment entry.
When applicants request a pre-appeal conference (PAC) with this examiner, 100.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 71% percentile among all examiners. Strategic Recommendation: Pre-appeal conferences show above-average effectiveness with this examiner. If you have strong arguments, a PAC request may result in favorable reconsideration.
This examiner withdraws rejections or reopens prosecution in 88.9% of appeals filed. This is in the 82% percentile among all examiners. Of these withdrawals, 62.5% 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, 44.4% are granted (fully or in part). This grant rate is in the 37% 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 1.3% of allowed cases (in the 70% 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 0.0% of allowed cases (in the 11% percentile). This examiner rarely issues Quayle actions compared to other examiners. Allowances typically 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.