Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19376307 | Curation And Provision Of Digital Content | October 2025 | March 2026 | Allow | 4 | 0 | 0 | No | No |
| 19079354 | INTERACTIVE DIGITAL LEGACY SYSTEM AND METHOD | March 2025 | November 2025 | Abandon | 8 | 1 | 0 | No | No |
| 19042498 | Curation And Provision Of Digital Content | January 2025 | September 2025 | Allow | 7 | 2 | 0 | No | No |
| 19003490 | DIFFUSION MODEL FOR GENERATIVE PROTEIN DESIGN | December 2024 | August 2025 | Allow | 7 | 2 | 0 | No | No |
| 19000713 | SYSTEMS AND METHODS FOR PARALLEL EXPLORATION OF A HYPERPARAMETER SEARCH SPACE | December 2024 | February 2025 | Allow | 2 | 0 | 0 | No | No |
| 18973037 | APPARATUS AND METHOD FOR VALIDATING LABELED DATA GENERATED BY A PREDICTION GENERATOR | December 2024 | June 2025 | Allow | 7 | 1 | 0 | Yes | No |
| 18894703 | Systems and Methods for Using an Artificial Intelligence Decision Engine to Extend the Lifespan of Batteries | September 2024 | March 2025 | Allow | 6 | 1 | 0 | Yes | No |
| 18751969 | Curation And Provision Of Digital Content | June 2024 | March 2025 | Allow | 8 | 2 | 0 | No | No |
| 18669259 | ACTION SUGGESTIONS FOR USER-SELECTED CONTENT | May 2024 | August 2025 | Allow | 15 | 1 | 0 | No | No |
| 18652132 | ARTIFICIAL INTELLIGENCE EVENT CLASSIFICATION AND RESPONSE | May 2024 | March 2026 | Abandon | 23 | 6 | 0 | Yes | No |
| 18643691 | SELECTING A NEURAL NETWORK ARCHITECTURE FOR A SUPERVISED MACHINE LEARNING PROBLEM | April 2024 | May 2025 | Allow | 13 | 0 | 0 | No | No |
| 18623923 | FUSION MODEL TRAINING USING DISTANCE METRICS | April 2024 | March 2026 | Allow | 23 | 2 | 0 | Yes | No |
| 18610727 | AUTOMATED MACHINE LEARNING SYSTEM | March 2024 | December 2025 | Allow | 21 | 0 | 0 | No | No |
| 18586893 | APPARATUS AND METHODS FOR CONDITIONING RAW DATA BASED ON TEMPORAL INTERPOLATIONS TO GENERATE OPTIMAL EXTRAPOLATIONS OF AN ENTITY | February 2024 | August 2024 | Allow | 6 | 1 | 0 | Yes | No |
| 18582529 | SYSTEMS AND METHODS FOR ASSESSING GAIT, STABILITY, AND/OR BALANCE OF A USER | February 2024 | February 2025 | Allow | 12 | 1 | 0 | Yes | No |
| 18437882 | Intelligent Dealership Recommendation Engine | February 2024 | April 2025 | Allow | 14 | 1 | 0 | Yes | No |
| 18566999 | INFORMATION PROCESSING SYSTEM, METHOD, APPARATUS AND STORAGE MEDIUM | December 2023 | July 2025 | Allow | 19 | 1 | 0 | No | No |
| 18244171 | MIXTURE OF EXPERTS NEURAL NETWORKS | September 2023 | April 2024 | Allow | 7 | 2 | 0 | Yes | No |
| 18242649 | MACHINE LEARNING BASED APPROACH FOR IDENTIFICATION OF EXTREMELY RARE EVENTS IN HIGH-DIMENSIONAL SPACE | September 2023 | May 2025 | Allow | 20 | 2 | 0 | Yes | No |
| 18459030 | Pre-Publication Assessment of Digital Content | August 2023 | October 2025 | Allow | 25 | 1 | 0 | Yes | No |
| 18222534 | PREDICTIVE ANALYTICS SYSTEMS AND METHODS | July 2023 | September 2024 | Allow | 14 | 1 | 0 | No | No |
| 18221573 | Curation And Provision Of Digital Content | July 2023 | May 2024 | Allow | 10 | 2 | 0 | No | No |
| 18207861 | Unsupervised Machine Learning System to Automate Functions On a Graph Structure | June 2023 | September 2025 | Allow | 27 | 1 | 0 | No | No |
| 18203537 | INTERACTIVE TEMPLATE FOR MULTIMODAL CONTENT GENERATION | May 2023 | March 2024 | Allow | 9 | 2 | 0 | Yes | No |
| 18309438 | PREDICTING OPTIMAL PARAMETERS FOR PHYSICAL DESIGN SYNTHESIS | April 2023 | January 2026 | Allow | 33 | 0 | 0 | No | No |
| 18184220 | MACHINE LEARNING METHODS AND SYSTEMS FOR CHARACTERIZING CORN GROWTH EFFICIENCY | March 2023 | July 2024 | Allow | 16 | 3 | 0 | Yes | No |
| 18116636 | DISTRIBUTED MACHINE LEARNING ARCHITECTURE WITH HYBRID DATA NORMALIZATION, PROOF OF LINEAGE AND DATA INTEGRITY | March 2023 | March 2024 | Allow | 12 | 2 | 0 | No | No |
| 18168016 | SYSTEM AND METHOD FOR COMPACT AND EFFICIENT SPARSE NEURAL NETWORKS | February 2023 | December 2024 | Allow | 22 | 1 | 0 | No | No |
| 18099530 | SYSTEM AND METHOD FOR DEEP LEARNING TECHNIQUES UTILIZING CONTINUOUS FEDERATED LEARNING WITH A DISTRIBUTED DATA GENERATIVE MODEL | January 2023 | October 2025 | Allow | 33 | 0 | 0 | Yes | No |
| 18004021 | CALIBRATION METHOD AND APPARATUS, TERMINAL DEVICE, AND STORAGE MEDIUM | December 2022 | September 2023 | Allow | 8 | 1 | 0 | No | No |
| 18085803 | SYSTEMS AND METHODS OF DATA PREPROCESSING AND AUGMENTATION FOR NEURAL NETWORK CLIMATE FORECASTING MODELS | December 2022 | January 2025 | Allow | 25 | 3 | 0 | No | No |
| 18063380 | Optimizing Machine Learning Based On Embedding Smart Data Drift | December 2022 | May 2023 | Allow | 5 | 0 | 0 | No | No |
| 18077184 | LEARNING IN TIME VARYING, DISSIPATIVE ELECTRICAL NETWORKS | December 2022 | June 2024 | Allow | 18 | 1 | 0 | No | No |
| 18075876 | Resource-Efficient Training of a Sequence-Tagging Model | December 2022 | August 2025 | Allow | 33 | 0 | 0 | No | No |
| 18074815 | Self Learning Machine Learning Transaction Scores Adjustment via Normalization Thereof Accounting for Underlying Transaction Score Bases Relating to an Occurrence of Fraud in a Transaction | December 2022 | April 2023 | Allow | 4 | 0 | 0 | No | No |
| 17925576 | MACHINE LEARNING APPLICATION METHOD, DEVICE, ELECTRONIC APPARATUS, AND STORAGE MEDIUM | November 2022 | February 2026 | Abandon | 39 | 1 | 0 | No | No |
| 17972832 | HARDWARE IMPLEMENTED POINT TO POINT COMMUNICATION PRIMITIVES FOR MACHINE LEARNING | October 2022 | March 2025 | Allow | 29 | 1 | 0 | No | No |
| 17967595 | Systems and Methods for Simulating a Complex Reinforcement Learning Environment | October 2022 | February 2025 | Allow | 28 | 2 | 0 | Yes | No |
| 17943722 | BEHAVIORAL PREDICTION AND BOUNDARY SETTINGS, CONTROL AND SAFETY ASSURANCE OF ML & AI SYSTEMS | September 2022 | March 2025 | Allow | 30 | 1 | 0 | No | No |
| 17877635 | METHOD AND APPARATUS FOR TRAINING ITEM CODING MODEL | July 2022 | May 2023 | Allow | 9 | 1 | 0 | No | No |
| 17815161 | METHODS AND SYSTEMS FOR EXPLAINING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING | July 2022 | November 2025 | Allow | 39 | 2 | 0 | Yes | No |
| 17847361 | Feature Storage Manager | June 2022 | September 2023 | Allow | 15 | 2 | 0 | Yes | No |
| 17807397 | COMPUTING ROBUST POLICIES IN OFFLINE REINFORCEMENT LEARNING | June 2022 | March 2026 | Allow | 45 | 1 | 0 | Yes | No |
| 17751689 | FEATURE SELECTION METHOD | May 2022 | January 2026 | Allow | 44 | 2 | 0 | Yes | No |
| 17663417 | SYSTEM AND METHOD FOR MEDICAL IMAGING | May 2022 | December 2025 | Allow | 43 | 1 | 0 | No | No |
| 17739699 | MACHINE LEARNING METHODS AND SYSTEMS FOR CHARACTERIZING CORN GROWTH EFFICIENCY | May 2022 | October 2022 | Allow | 6 | 1 | 0 | No | No |
| 17661567 | EFFICIENT PROCESSING OF EXTREME INPUTS FOR REAL-TIME PREDICTION OF FUTURE EVENTS | May 2022 | October 2025 | Allow | 41 | 2 | 0 | Yes | No |
| 17660911 | SYSTEMS AND METHODS OF DEPLOYING REINFORCEMENT LEARNING | April 2022 | January 2025 | Allow | 33 | 3 | 0 | Yes | No |
| 17771796 | SYSTEMS AND METHODS FOR ASSESSING GAIT, STABILITY, AND/OR BALANCE OF A USER | April 2022 | November 2023 | Allow | 19 | 1 | 0 | Yes | No |
| 17717664 | SYSTEM AND METHOD FOR A RECURSIVE CORTICAL NETWORK | April 2022 | February 2024 | Abandon | 22 | 1 | 0 | No | No |
| 17703205 | EMBEDDING DRIFT IN A MACHINE LEARNING MODEL | March 2022 | November 2022 | Allow | 7 | 1 | 0 | Yes | No |
| 17687827 | Self Learning Machine Learning Transaction Scores Adjustment via Normalization Thereof Accounting for Underlying Transaction Score Bases | March 2022 | August 2022 | Allow | 6 | 1 | 0 | Yes | No |
| 17685335 | LEARNING IN TIME VARYING, DISSIPATIVE ELECTRICAL NETWORKS | March 2022 | September 2022 | Allow | 7 | 1 | 0 | Yes | No |
| 17650573 | REINFORCEMENT LEARNING MACHINE LEARNING MODELS FOR INTERVENTION RECOMMENDATION | February 2022 | May 2025 | Allow | 39 | 0 | 0 | No | No |
| 17666388 | LABELING/NAMES OF THEMES | February 2022 | December 2023 | Allow | 22 | 1 | 0 | Yes | No |
| 17665025 | TECHNOLOGIES FOR DISTRIBUTING GRADIENT DESCENT COMPUTATION IN A HETEROGENEOUS MULTI-ACCESS EDGE COMPUTING (MEC) NETWORKS | February 2022 | February 2024 | Allow | 24 | 1 | 0 | No | No |
| 17575799 | Batch Processing In A Neural Network Processor | January 2022 | December 2024 | Allow | 35 | 1 | 0 | Yes | No |
| 17565411 | FAIR SELECTIVE CLASSIFICATION VIA A VARIATIONAL MUTUAL INFORMATION UPPER BOUND FOR IMPOSING SUFFICIENCY | December 2021 | November 2025 | Allow | 47 | 2 | 0 | Yes | No |
| 17621378 | SYSTEMS AND METHODS FOR ENCODING A DEEP NEURAL NETWORK | December 2021 | December 2025 | Allow | 48 | 2 | 0 | No | No |
| 17557303 | DATABASE RESOURCE MANAGEMENT USING PREDICTIVE MODELS | December 2021 | August 2025 | Allow | 44 | 1 | 0 | Yes | No |
| 17557732 | Machine Learning Systems and Methods for Assessing Medical Interventions for Utilization Review | December 2021 | October 2023 | Abandon | 21 | 1 | 0 | No | No |
| 17554281 | AUTOMATED TRENDING INPUT RECOGNITION AND ASSIMILATION IN FORECAST MODELING | December 2021 | March 2022 | Allow | 3 | 0 | 0 | No | No |
| 17540421 | DISTRIBUTED LEARNING ANOMALY DETECTOR | December 2021 | April 2024 | Allow | 28 | 1 | 0 | Yes | No |
| 17525602 | BEHAVIORAL PREDICTION AND BOUNDARY SETTINGS, CONTROL AND SAFETY ASSURANCE OF ML & AI SYSTEMS | November 2021 | May 2022 | Allow | 7 | 1 | 0 | No | No |
| 17509522 | SCHEDULING NEURAL NETWORK PROCESSING | October 2021 | November 2024 | Allow | 36 | 2 | 0 | Yes | No |
| 17507427 | EVENT CONDITION DETECTION | October 2021 | March 2025 | Allow | 41 | 4 | 0 | No | No |
| 17497121 | SYSTEMS AND METHODS FOR DOMAIN-AWARE CLASSIFICATION OF UNLABELED DATA | October 2021 | December 2025 | Allow | 50 | 2 | 0 | Yes | No |
| 17494405 | METHODS AND SERVERS FOR DETERMINING METRIC-SPECIFIC THRESHOLDS TO BE USED WITH A PLURALITY OF NESTED METRICS FOR BINARY CLASSIFICATION OF A DIGITAL OBJECT | October 2021 | February 2025 | Allow | 41 | 0 | 0 | No | No |
| 17493091 | METHOD FOR MITIGATING ERROR OF QUANTUM CIRCUIT AND APPARATUS THEREOF | October 2021 | April 2025 | Allow | 42 | 1 | 0 | No | No |
| 17493322 | DEEP LEARNING DOCUMENT GENERATION FROM CONVERSATION TRANSCRIPTS | October 2021 | September 2025 | Allow | 47 | 2 | 0 | Yes | No |
| 17405794 | Intelligent Dealership Recommendation Engine | August 2021 | November 2023 | Allow | 27 | 2 | 0 | Yes | No |
| 17389978 | PRESERVATION OF CAUSAL INFORMATION FOR MACHINE LEARNING | July 2021 | March 2024 | Allow | 32 | 2 | 0 | Yes | No |
| 17365650 | SYSTEM AND METHOD FOR DEEP LEARNING TECHNIQUES UTILIZING CONTINUOUS FEDERATED LEARNING WITH A DISTRIBUTED DATA GENERATIVE MODEL | July 2021 | July 2025 | Allow | 49 | 4 | 0 | Yes | Yes |
| 17357886 | RADIATION THERAPY PLANNING USING INTEGRATED MODEL | June 2021 | January 2026 | Abandon | 55 | 4 | 0 | Yes | Yes |
| 17342825 | SEMI-SUPERVISED CLASSIFICATION SYSTEM | June 2021 | October 2021 | Allow | 4 | 0 | 0 | No | No |
| 17333385 | SYSTEMS AND METHODS FOR PERFORMING RANDOM WALKS ON KNOWLEDGE GRAPHS | May 2021 | February 2025 | Allow | 45 | 1 | 0 | Yes | No |
| 17237654 | BIOMARKERS AND USES THEREOF FOR DIAGNOSING THE SILENT PHASE OF ALZHEIMER'S DISEASE | April 2021 | December 2024 | Abandon | 44 | 6 | 0 | Yes | Yes |
| 17230751 | Enhanced Disease Projections with Mobility | April 2021 | April 2025 | Abandon | 48 | 1 | 0 | No | No |
| 17227832 | Self Learning Machine Learning Transaction Scores Adjustment via Normalization Thereof | April 2021 | October 2021 | Allow | 6 | 1 | 0 | No | No |
| 17226256 | Batch Processing In A Neural Network Processor | April 2021 | September 2021 | Allow | 5 | 1 | 0 | No | No |
| 17280902 | METHOD AND DEVICE FOR CREATING AND TRAINING MACHINE LEARNING MODELS | March 2021 | October 2024 | Allow | 43 | 0 | 0 | No | No |
| 17204541 | METHODS AND SYSTEMS FOR REAL-TIME RESOLUTION OF ERRORS THAT ARE DETECTED BY MULTIVARIATE MACHINE LEARNING MODELS BETWEEN USERS USING UNIVARIATE RESPONSES | March 2021 | August 2025 | Allow | 53 | 3 | 0 | Yes | No |
| 17202537 | METHOD FOR NEAR REAL-TIME SLEEP DETECTION IN A WEARABLE DEVICE BASED ON ARTIFICIAL NEURAL NETWORK | March 2021 | January 2026 | Abandon | 58 | 4 | 0 | Yes | No |
| 17197318 | PREPROCESSING OF TIME SERIES DATA AUTOMATICALLY FOR BETTER AI | March 2021 | January 2026 | Abandon | 58 | 4 | 0 | Yes | No |
| 17186893 | AUTOMATED TRAINING AND SELECTION OF MODELS FOR DOCUMENT ANALYSIS | February 2021 | April 2024 | Allow | 38 | 2 | 0 | Yes | No |
| 17270862 | LEARNING DATA GENERATION DEVICE, LEARNING DATA GENERATION METHOD, AND PROGRAM | February 2021 | June 2024 | Allow | 39 | 1 | 0 | No | No |
| 17169147 | METHODS AND SYSTEMS FOR FACILITATING ANALYSIS OF A MODEL | February 2021 | January 2022 | Abandon | 12 | 2 | 0 | No | No |
| 17167113 | IDENTIFYING A FINDING IN A DATASET USING A MACHINE LEARNING MODEL ENSEMBLE | February 2021 | December 2024 | Allow | 47 | 1 | 0 | No | No |
| 17159255 | SYSTEMS AND METHODS FOR DETERMINING TRAINING PARAMETERS FOR DIALOG GENERATION | January 2021 | January 2024 | Allow | 36 | 1 | 0 | Yes | No |
| 17156517 | GENERATING BEHAVIORAL PROFILES | January 2021 | September 2025 | Allow | 55 | 2 | 0 | No | No |
| 17248373 | NEUROMORPHIC ARCHITECTURE | January 2021 | August 2024 | Allow | 43 | 1 | 0 | No | No |
| 17154493 | SYSTEM AND METHOD FOR PERFORMING OPERATIONS ON MULTI-DIMENSIONAL FUNCTIONS | January 2021 | May 2021 | Allow | 3 | 0 | 0 | No | No |
| 17257876 | METHODS AND SYSTEMS FOR DYNAMIC SERVICE PERFORMANCE PREDICTION USING TRANSFER LEARNING | January 2021 | November 2024 | Abandon | 47 | 1 | 0 | No | No |
| 17138685 | COMPUTER IMPLEMENTED MACHINE LEARNING SYSTEM AND A METHOD FOR OPERATING THE MACHINE LEARNING SYSTEM FOR DETERMINING A TIME SERIES | December 2020 | February 2025 | Allow | 50 | 2 | 0 | No | Yes |
| 17134936 | PREFETCHING WEIGHTS FOR USE IN A NEURAL NETWORK PROCESSOR | December 2020 | August 2023 | Allow | 32 | 1 | 0 | Yes | No |
| 16973707 | Distributed Processing System and Distributed Processing Method | December 2020 | August 2023 | Allow | 32 | 0 | 0 | No | No |
| 17113198 | Method and Device For Testing | December 2020 | December 2024 | Abandon | 48 | 2 | 0 | No | No |
| 17114226 | METHODS AND SYSTEMS FOR USING REINFORCEMENT LEARNING | December 2020 | December 2021 | Allow | 12 | 1 | 0 | Yes | No |
| 17113070 | SYSTEM AND METHOD FOR MAINTAINING NETWORK INTEGRITY FOR INCREMENTALLY TRAINING MACHINE LEARNING MODELS AT EDGE DEVICES OF A PEER TO PEER NETWORK | December 2020 | April 2024 | Allow | 41 | 0 | 0 | No | No |
| 17102471 | Creating and Using Learning Models to Identify Botnet Traffic | November 2020 | April 2025 | Allow | 52 | 3 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner GONZALES, VINCENT.
With a 16.7% reversal rate, the PTAB affirms the examiner's rejections in the vast majority of cases. This reversal rate is below the USPTO average, indicating that appeals face more challenges 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, 17.9% 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 GONZALES, VINCENT works in Art Unit 2124 and has examined 327 patent applications in our dataset. With an allowance rate of 83.5%, this examiner has an above-average tendency to allow applications. Applications typically reach final disposition in approximately 42 months.
Examiner GONZALES, VINCENT's allowance rate of 83.5% places them in the 58% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.
On average, applications examined by GONZALES, VINCENT receive 2.15 office actions before reaching final disposition. This places the examiner in the 58% 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 GONZALES, VINCENT is 42 months. This places the examiner in the 18% percentile for prosecution speed. Applications take longer to reach final disposition with this examiner compared to most others.
Conducting an examiner interview provides a +8.8% benefit to allowance rate for applications examined by GONZALES, VINCENT. This interview benefit is in the 40% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.
When applicants file an RCE with this examiner, 27.7% of applications are subsequently allowed. This success rate is in the 49% 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 38.0% of cases where such amendments are filed. This entry rate is in the 58% percentile among all examiners. Strategic Recommendation: This examiner shows above-average receptiveness to after-final amendments. If your amendments clearly overcome the rejections and do not raise new issues, consider filing after-final amendments before resorting to an RCE.
When applicants request a pre-appeal conference (PAC) with this examiner, 66.7% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 53% 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 55.6% of appeals filed. This is in the 27% percentile among all examiners. Of these withdrawals, 40.0% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner shows below-average willingness to reconsider rejections during appeals. Be prepared to fully prosecute appeals if filed.
When applicants file petitions regarding this examiner's actions, 17.4% are granted (fully or in part). This grant rate is in the 9% percentile among all examiners. Strategic Note: Petitions are rarely granted regarding this examiner's actions compared to other examiners. Ensure you have a strong procedural basis before filing a petition, as the Technology Center Director typically upholds this examiner's decisions.
Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 9% 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 10% 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.