Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19060157 | SYSTEM AND METHOD FOR AUTOMATED PROXY AUTOCONFIGURATION FILES | February 2025 | November 2025 | Allow | 8 | 2 | 0 | No | No |
| 19004880 | DIGITAL PROCESSING SYSTEMS AND METHODS FOR ENHANCED DATA REPRESENTATION | December 2024 | October 2025 | Allow | 10 | 2 | 0 | Yes | No |
| 18756652 | Card Display Method, Electronic Device, and Computer Readable Storage Medium | June 2024 | February 2025 | Allow | 8 | 0 | 0 | No | No |
| 18755359 | CLICKABLE ACCESS POINT | June 2024 | February 2025 | Allow | 8 | 0 | 0 | Yes | No |
| 18619127 | VOICE ASSISTANT-ENABLED CLIENT APPLICATION WITH USER VIEW CONTEXT AND MULTI-MODAL INPUT SUPPORT | March 2024 | June 2025 | Allow | 14 | 1 | 0 | No | No |
| 18595214 | PORTABLE MULTIFUNCTION DEVICE, METHOD, AND GRAPHICAL USER INTERFACE FOR AN EMAIL CLIENT | March 2024 | June 2025 | Abandon | 15 | 1 | 0 | No | No |
| 18595207 | PORTABLE MULTIFUNCTION DEVICE, METHOD, AND GRAPHICAL USER INTERFACE FOR AN EMAIL CLIENT | March 2024 | February 2025 | Allow | 12 | 1 | 0 | Yes | No |
| 18594512 | METHOD FOR DISPLAYING PAGE ELEMENTS AND ELECTRONIC DEVICE | March 2024 | September 2024 | Allow | 7 | 0 | 0 | Yes | No |
| 18595210 | PORTABLE MULTIFUNCTION DEVICE, METHOD, AND GRAPHICAL USER INTERFACE FOR AN EMAIL CLIENT | March 2024 | September 2025 | Abandon | 19 | 2 | 0 | Yes | No |
| 18595217 | PORTABLE MULTIFUNCTION DEVICE, METHOD, AND GRAPHICAL USER INTERFACE FOR AN EMAIL CLIENT | March 2024 | March 2025 | Allow | 13 | 2 | 0 | Yes | No |
| 18426151 | USER INTERFACE COMMON COMPONENTS AND SCALABLE INTEGRABLE REUSABLE ISOLATED USER INTERFACE | January 2024 | October 2024 | Allow | 9 | 0 | 0 | Yes | No |
| 18405044 | METHOD FOR PARTIALLY PUBLISHING EDITS TO A DOCUMENT | January 2024 | August 2024 | Allow | 7 | 0 | 0 | Yes | No |
| 18525538 | ICON UPDATING METHOD AND APPARATUS, AND ELECTRONIC DEVICE | November 2023 | October 2025 | Allow | 23 | 1 | 0 | No | No |
| 18515695 | METHOD AND APPARATUS FOR INTERACTING WITH APPLICATION PROGRAM, AND ELECTRONIC DEVICE | November 2023 | May 2025 | Allow | 18 | 4 | 0 | Yes | No |
| 18499049 | REMOTELY CONFIGURING WINDOWS DISPLAYED ON A DISPLAY DEVICE | October 2023 | February 2025 | Allow | 15 | 1 | 0 | Yes | No |
| 18241707 | AUTOMATED ASSISTANT TRAINING AND/OR EXECUTION OF INTER-USER PROCEDURES | September 2023 | September 2024 | Allow | 12 | 0 | 0 | Yes | No |
| 18240213 | KERNEL LEARNING APPARATUS USING TRANSFORMED CONVEX OPTIMIZATION PROBLEM | August 2023 | November 2024 | Abandon | 15 | 1 | 0 | No | No |
| 18240221 | KERNEL LEARNING APPARATUS USING TRANSFORMED CONVEX OPTIMIZATION PROBLEM | August 2023 | December 2024 | Abandon | 16 | 1 | 0 | No | No |
| 18315572 | SYSTEMS AND METHODS FOR CHAINED MACHINE LEARNING MODELS FOR SIGNAL DATA SIGNATURE LABELLING | May 2023 | February 2026 | Allow | 33 | 0 | 0 | No | No |
| 18144783 | COORDINATION OF STATIC BACKGROUNDS AND RUBBERBANDING | May 2023 | June 2024 | Allow | 14 | 1 | 0 | Yes | No |
| 18140219 | TRAINING LARGE DL MODELS VIA SERVERLESS ARCHITECTURE USING CLOUD STORAGE SERVICES-BASED COMMUNICATION CHANNEL | April 2023 | January 2026 | Allow | 32 | 0 | 0 | No | No |
| 18181050 | INFORMATION DISPLAY DEVICE AND PROGRAM | March 2023 | October 2025 | Allow | 31 | 2 | 0 | Yes | No |
| 18181299 | SACCADE DRIVEN TEXT COMPREHENSION ARTIFICIAL INTELLIGENCE ENGINE | March 2023 | April 2025 | Allow | 25 | 3 | 0 | Yes | No |
| 18165068 | DYNAMIC GRAPHICAL USER INTERFACE MODIFICATION AND MONITORING | February 2023 | August 2024 | Allow | 18 | 1 | 0 | No | No |
| 18165083 | CLASSIFICATION MODEL TRAINING METHOD, HYPERPARAMETER SEARCH METHOD, AND APPARATUS | February 2023 | October 2025 | Allow | 32 | 0 | 0 | No | No |
| 18094339 | APPLICATION ICON CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICE | January 2023 | February 2026 | Allow | 37 | 1 | 0 | No | No |
| 18147453 | QUANTUM MECHANICAL LOGIC FOR CLASSICAL COMPUTATION | December 2022 | September 2025 | Allow | 32 | 0 | 0 | No | No |
| 18086781 | STRUCTURAL OBFUSCATION FOR PROTECTING DEEP LEARNING MODELS ON EDGE DEVICES | December 2022 | January 2026 | Allow | 37 | 1 | 0 | No | No |
| 18059852 | CATEGORY CLASSIFICATION SYSTEM FOR FEATURE CONTRIBUTION SCORES | November 2022 | August 2025 | Allow | 32 | 0 | 0 | Yes | No |
| 17990473 | QUANTUM ADVANTAGE USING QUANTUM CIRCUIT FOR GRADIENT ESTIMATION | November 2022 | August 2025 | Allow | 33 | 0 | 0 | Yes | No |
| 17974545 | SYSTEM, METHOD, AND COMPUTER-READABLE STORAGE MEDIUM FOR FEDERATED LEARNING OF LOCAL MODEL BASED ON LEARNING DIRECTION OF GLOBAL MODEL | October 2022 | February 2026 | Allow | 39 | 1 | 0 | No | No |
| 17962495 | SYSTEM AND METHOD FOR GENERATING A NETWORK HEALTH DASHBOARD FOR A MULTI-CLOUD ENVIRONMENT | October 2022 | September 2025 | Allow | 35 | 7 | 0 | No | No |
| 17930035 | SYSTEMS AND METHODS FOR A DIGITAL REGISTER OF MODELS MONITORING CHANGES IN ACCURACY OF ARTIFICIAL INTELLIGENCE MODELS | September 2022 | September 2025 | Allow | 36 | 0 | 0 | No | No |
| 17901817 | MACHINE LEARNING SYSTEM AND METHOD, INTEGRATION SERVER, INFORMATION PROCESSING APPARATUS, PROGRAM, AND INFERENCE MODEL CREATION METHOD | September 2022 | June 2025 | Allow | 34 | 0 | 0 | No | No |
| 17899519 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM PRODUCT FOR EVALUATING PERFORMANCE OF MACHINE LEARNING MODEL | August 2022 | January 2026 | Allow | 40 | 1 | 0 | Yes | No |
| 17905196 | MACHINE LEARNING ALGORITHM SEARCH WITH SYMBOLIC PROGRAMMING | August 2022 | June 2025 | Allow | 34 | 0 | 0 | No | No |
| 17893005 | STRATIFICATION IN NON-CLASSIFIED HETEROGENEOUS OBJECT LABELS | August 2022 | March 2026 | Abandon | 43 | 1 | 0 | No | No |
| 17889936 | STATE MAPS FOR QUANTUM COMPUTING | August 2022 | November 2025 | Allow | 39 | 1 | 0 | Yes | No |
| 17798152 | PROCESSING OF MACHINE LEARNING MODELING DATA TO IMPROVE ACCURACY OF CATEGORIZATION | August 2022 | October 2025 | Allow | 39 | 1 | 0 | Yes | No |
| 17873321 | A MACHINE LEARNING PROCESSING APPARATUS, METHOD, AND PROGRAM | July 2022 | December 2025 | Allow | 41 | 1 | 0 | Yes | No |
| 17813708 | TWO-DIMENSIONAL VIEW OF A PRESENTATION IN A THREE-DIMENSIONAL VIDEOCONFERENCING ENVIRONMENT | July 2022 | September 2025 | Allow | 38 | 4 | 0 | No | Yes |
| 17867630 | WEIGHT SPARSITY IN DATA PROCESSING ENGINES | July 2022 | October 2025 | Allow | 39 | 1 | 0 | Yes | No |
| 17812207 | EFFICIENT SECOND ORDER PRUNING OF COMPUTER-IMPLEMENTED NEURAL NETWORKS | July 2022 | May 2025 | Allow | 34 | 0 | 0 | No | No |
| 17856357 | SHIFT RULE FOR GRADIENT DETERMINATION IN PARAMETERISED QUANTUM EVOLUTIONS | July 2022 | July 2025 | Allow | 37 | 0 | 0 | No | No |
| 17853189 | AUTOMATED CONCEPT DRIFT DETECTION IN LIVE MACHINE LEARNING SYSTEMS FOR MACHINE LEARNING MODEL UPDATING | June 2022 | June 2025 | Allow | 35 | 0 | 0 | No | No |
| 17789038 | WIND SPEED PREDICTION METHOD BASED ON FORWARD COMPLEX-VALUED NEURAL NETWORK | June 2022 | May 2025 | Allow | 34 | 0 | 0 | No | No |
| 17838983 | DATA SELECTION ASSIST DEVICE AND DATA SELECTION ASSIST METHOD | June 2022 | December 2025 | Abandon | 42 | 1 | 0 | No | No |
| 17773192 | ONTOLOGY MAPPING SYSTEM AND ONTOLOGY MAPPING PROGRAM | April 2022 | December 2025 | Abandon | 44 | 1 | 0 | No | No |
| 17713420 | BIAS DETECTION TECHNIQUE IN A DATA-DRIVEN MODEL FOR MULTIPLE TENANTS | April 2022 | August 2025 | Allow | 40 | 1 | 0 | Yes | No |
| 17711415 | HETEROGENEOUS COMPUTE-BASED ARTIFICIAL INTELLIGENCE MODEL PARTITIONING | April 2022 | November 2025 | Allow | 44 | 1 | 0 | No | No |
| 17765064 | Nonlinear Model Modeling Method, Device and Storage Medium | March 2022 | October 2025 | Abandon | 42 | 1 | 0 | No | No |
| 17691066 | SOCIAL NETWORK MAPS WITH PLACE REACTIONS | March 2022 | March 2025 | Abandon | 36 | 1 | 0 | No | No |
| 17687583 | NEURAL NETWORK PARAMETER QUANTIZATION FOR BASE CALLING | March 2022 | September 2025 | Allow | 42 | 1 | 0 | Yes | No |
| 17683886 | DYNAMIC TOPOLOGY RECONFIGURATION IN FEDERATED LEARNING SYSTEMS | March 2022 | October 2025 | Allow | 44 | 1 | 0 | Yes | No |
| 17652273 | ANALYTE DATA PROCESSING, REPORTING, AND VISUALIZATION | February 2022 | November 2024 | Allow | 33 | 2 | 0 | Yes | No |
| 17586639 | SYSTEM AND METHOD FOR DETERMINATION OF MODEL FITNESS AND STABILITY FOR MODEL DEPLOYMENT IN AUTOMATED MODEL GENERATION | January 2022 | November 2025 | Allow | 46 | 1 | 0 | Yes | No |
| 17569771 | CALIBRATION OF ANALOG CIRCUITS FOR NEURAL NETWORK COMPUTING | January 2022 | October 2025 | Abandon | 45 | 2 | 0 | No | No |
| 17597189 | CLOUD-EDGE COLLABORATION FORECASTING SYSTEM AND METHOD FOR ALUMINUM OXIDE PRODUCTION INDEXES | December 2021 | March 2025 | Allow | 38 | 1 | 0 | Yes | No |
| 17548814 | EVENT EXPERIENCE REPRESENTATION USING TENSILE SPHERE MIXING AND MERGING | December 2021 | April 2025 | Allow | 40 | 0 | 0 | No | No |
| 17548987 | FEATURE SELECTION BASED AT LEAST IN PART ON TEMPORALLY STATIC FEATURE SELECTION CRITERIA AND TEMPORALLY DYNAMIC FEATURE SELECTION CRITERIA | December 2021 | March 2025 | Allow | 39 | 0 | 0 | No | No |
| 17538013 | FLUX CONTROL ARCHITECTURE FOR 1ST ORDER NOISE INSENSITIVITY | November 2021 | May 2025 | Allow | 41 | 1 | 0 | Yes | No |
| 17535844 | BUSINESS LANGUAGE PROCESSING USING LoQoS AND rb-LSTM | November 2021 | December 2025 | Allow | 48 | 2 | 0 | Yes | No |
| 17611641 | System and Method for Automated Multi-Objective Policy Implementation, Using Reinforcement Learning | November 2021 | August 2025 | Abandon | 45 | 1 | 0 | No | No |
| 17524606 | METHODS AND SYSTEMS FOR CONVERTING WEIGHTS OF A DEEP NEURAL NETWORK FROM A FIRST NUMBER FORMAT TO A SECOND NUMBER FORMAT | November 2021 | September 2025 | Allow | 46 | 2 | 0 | No | No |
| 17513308 | PUSH NOTIFICATION QUBIT MANIPULATION | October 2021 | May 2025 | Allow | 43 | 1 | 0 | Yes | No |
| 17497707 | Methods and Systems for Determining Candidate Data Sets for Labelling | October 2021 | August 2025 | Abandon | 46 | 1 | 0 | No | No |
| 17408077 | COMPUTER-READABLE RECORDING MEDIUM STORING ABNORMALITY DETERMINATION PROGRAM, ABNORMALITY DETERMINATION METHOD, AND ABNORMALITY DETERMINATION APPARATUS | August 2021 | June 2025 | Abandon | 46 | 1 | 0 | No | No |
| 17402600 | LEARNING DEVICE AND DETERMINATION DEVICE | August 2021 | May 2025 | Abandon | 45 | 1 | 0 | No | No |
| 17380684 | METHOD, APPARATUS, DEVICE AND STORAGE MEDIUM FOR INFORMATION PROCESSING | July 2021 | February 2026 | Abandon | 55 | 3 | 0 | Yes | No |
| 17364775 | RESOURCE-EFFICIENT TECHNIQUES FOR REPEATED HYPER-PARAMETER OPTIMIZATION | June 2021 | February 2025 | Allow | 44 | 1 | 0 | No | No |
| 17337320 | MACHINE LEARNING PIPELINES | June 2021 | April 2025 | Allow | 47 | 2 | 0 | No | No |
| 17334205 | NEURAL NETWORK OPERATION METHOD AND APPARATUS BASED ON A CHIP HAVING AN OPERATION ARRAY | May 2021 | October 2024 | Allow | 40 | 1 | 0 | No | No |
| 17329414 | MODEL SELECTION METHOD AND TERMINAL | May 2021 | January 2025 | Allow | 44 | 2 | 0 | No | No |
| 17291818 | AUTO-FORMATTING OF A DATA TABLE | May 2021 | December 2024 | Allow | 43 | 1 | 0 | Yes | No |
| 17231314 | FEDERATED-LEARNING BASED METHOD OF ACQUIRING MODEL PARAMETERS, SYSTEM AND READABLE STORAGE MEDIUM | April 2021 | April 2025 | Abandon | 48 | 2 | 0 | No | No |
| 17283376 | EXPLORING AN UNEXPLORED DOMAIN BY PARALLEL REINFORCEMENT | April 2021 | February 2025 | Allow | 47 | 1 | 0 | Yes | No |
| 17219339 | SYSTEMS AND METHODS FOR VIDEO REPRESENTATION LEARNING WITH A WEAK TEACHER | March 2021 | October 2024 | Allow | 42 | 1 | 0 | Yes | No |
| 17218724 | AUTO FEATURE PREPARATION FOR HIGH PERFORMANCE ONLINE INFERENCING | March 2021 | September 2024 | Allow | 42 | 1 | 0 | Yes | No |
| 17217623 | BATCHING TECHNIQUES FOR HANDLING UNBALANCED TRAINING DATA FOR A CHATBOT | March 2021 | October 2024 | Allow | 43 | 2 | 0 | Yes | No |
| 17216027 | MACHINE-LEARNING-BASED UNSUPERVISED MASTER DATA CORRECTION | March 2021 | April 2025 | Abandon | 49 | 2 | 0 | No | No |
| 17190269 | MACHINE LEARNING MODEL GENERATION SYSTEM AND MACHINE LEARNING MODEL GENERATION METHOD | March 2021 | December 2024 | Abandon | 46 | 2 | 0 | No | No |
| 17118211 | DECENTRALIZED ONLINE MULTI-AGENT VISUAL QUESTION ANSWERING | December 2020 | January 2025 | Abandon | 49 | 2 | 0 | Yes | No |
| 17115373 | DEVICE FOR ENSEMBLING DATA RECEIVED FROM PREDICTION DEVICES AND OPERATING METHOD THEREOF | December 2020 | October 2024 | Allow | 46 | 2 | 0 | Yes | No |
| 17104642 | AUTOMATED DATA QUALITY INSPECTION AND IMPROVEMENT FOR AUTOMATED MACHINE LEARNING | November 2020 | July 2025 | Abandon | 56 | 4 | 0 | Yes | No |
| 17074392 | LABELING AND DATA AUGMENTATION FOR GRAPH DATA | October 2020 | November 2024 | Abandon | 49 | 2 | 0 | No | No |
| 17062241 | SYSTEMS AND METHODS FOR GENERATING AUTOMATED NATURAL LANGUAGE RESPONSES BASED ON IDENTIFIED GOALS AND SUB-GOALS FROM AN UTTERANCE | October 2020 | October 2024 | Allow | 48 | 3 | 0 | Yes | No |
| 15246493 | Automatic Deep View Card Stacking | August 2016 | April 2017 | Allow | 7 | 1 | 0 | Yes | No |
| 14858801 | Automatic Deep View Card Stacking | September 2015 | August 2017 | Allow | 23 | 1 | 0 | Yes | No |
| 14835916 | NATURAL LANGUAGE BASED CAPTURING OF USER INTERFACE INTERACTIONS | August 2015 | February 2018 | Allow | 30 | 1 | 0 | Yes | No |
| 14562077 | CELLPHONE MANAGER | December 2014 | June 2019 | Allow | 54 | 4 | 0 | Yes | No |
| 14554285 | CHANNEL SELECTION INTERFACE FOR A VEHICLE | November 2014 | April 2019 | Allow | 53 | 3 | 0 | Yes | No |
| 14536777 | INFORMATION PROCESSING TERMINAL, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING SYSTEM | November 2014 | December 2018 | Allow | 49 | 3 | 0 | Yes | No |
| 13993639 | CAPTURING OBJECTS IN EDITABLE FORMAT USING GESTURES | June 2013 | February 2019 | Allow | 60 | 5 | 0 | Yes | No |
| 13821560 | VIRTUAL REALITY APPLICATIONS | March 2013 | February 2017 | Allow | 47 | 4 | 1 | Yes | Yes |
| 13164564 | CONTENT SHARING INTERFACE FOR SHARING CONTENT IN SOCIAL NETWORKS | June 2011 | August 2016 | Allow | 60 | 4 | 0 | Yes | No |
| 12848322 | METHOD AND DEVICE FOR CREATION OF INTEGRATED USER INTERFACE | August 2010 | July 2016 | Allow | 60 | 8 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner BARRETT, RYAN S.
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, 100.0% 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.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner BARRETT, RYAN S works in Art Unit 2148 and has examined 39 patent applications in our dataset. With an allowance rate of 71.8%, this examiner has a below-average tendency to allow applications. Applications typically reach final disposition in approximately 46 months.
Examiner BARRETT, RYAN S's allowance rate of 71.8% places them in the 35% percentile among all USPTO examiners. This examiner has a below-average tendency to allow applications.
On average, applications examined by BARRETT, RYAN S receive 2.03 office actions before reaching final disposition. This places the examiner in the 52% 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 BARRETT, RYAN S is 46 months. This places the examiner in the 11% percentile for prosecution speed. Applications take longer to reach final disposition with this examiner compared to most others.
Conducting an examiner interview provides a +40.8% benefit to allowance rate for applications examined by BARRETT, RYAN S. This interview benefit is in the 88% percentile among all examiners. Recommendation: Interviews are highly effective with this examiner and should be strongly considered as a prosecution strategy. Per MPEP § 713.10, interviews are available at any time before the Notice of Allowance is mailed or jurisdiction transfers to the PTAB.
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 20.0% of cases where such amendments are filed. This entry rate is in the 24% 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 100.0% of appeals filed. This is in the 89% percentile among all examiners. 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, 120.0% are granted (fully or in part). This grant rate is in the 95% 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 11% 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 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.