Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18827286 | SYSTEMS AND METHODS FOR DYNAMIC ALLOCATION OF COMPUTE RESOURCES VIA A MACHINE LEARNING-INFORMED FEEDBACK SEQUENCE | September 2024 | December 2025 | Allow | 16 | 1 | 0 | Yes | No |
| 18817035 | METHOD FOR PROCESSING INFORMATION | August 2024 | February 2025 | Allow | 6 | 1 | 0 | No | No |
| 18754011 | APPLICATION PROGRAMMING INTERFACE TO CAUSE GRAPH CODE TO WAIT ON A SEMAPHORE | June 2024 | July 2025 | Allow | 13 | 1 | 0 | Yes | No |
| 18745855 | APPLICATION PROGRAMMING INTERFACE TO CAUSE GRAPH CODE TO WAIT ON A SEMAPHORE | June 2024 | July 2025 | Allow | 13 | 1 | 0 | Yes | No |
| 18737728 | COMMON PRIORITY INFORMATION FOR MULTIPLE RESOURCE ARBITRATION | June 2024 | August 2025 | Allow | 14 | 2 | 0 | No | No |
| 18732297 | DYNAMICALLY SELECTING ARTIFICIAL INTELLIGENCE MODELS AND HARDWARE ENVIRONMENTS TO EXECUTE TASKS | June 2024 | August 2025 | Allow | 15 | 3 | 0 | Yes | No |
| 18676219 | Methods and User Interface Generation and Application Modification | May 2024 | July 2025 | Allow | 14 | 1 | 0 | No | No |
| 18627375 | SYSTEMS AND METHODS FOR DYNAMIC ALLOCATION OF COMPUTE RESOURCES VIA A MACHINE LEARNING-INFORMED FEEDBACK SEQUENCE | April 2024 | September 2024 | Allow | 6 | 1 | 0 | Yes | No |
| 18624288 | ADAPTIVE CPU USAGE MECHANISM FOR NETWORKING SYSTEM IN A VIRTUAL ENVIRONMENT | April 2024 | April 2025 | Allow | 13 | 1 | 0 | No | No |
| 18611615 | Methods for User Interface Generation and Application Modification | March 2024 | August 2025 | Allow | 17 | 2 | 0 | Yes | No |
| 18597070 | SYSTEMS AND METHODS FOR VIDEO/AUDIO PRODUCTION AND ARCHITECTURE TO OPTIMIZE UNUSED CAPACITY | March 2024 | April 2025 | Allow | 13 | 1 | 0 | Yes | No |
| 18428544 | TECHNIQUES FOR BEHAVIORAL PAIRING IN A TASK ASSIGNMENT SYSTEM | January 2024 | February 2026 | Allow | 24 | 3 | 0 | No | No |
| 18412105 | EXECUTION OF AUXILIARY FUNCTIONS IN AN ON-DEMAND NETWORK CODE EXECUTION SYSTEM | January 2024 | January 2025 | Allow | 13 | 1 | 0 | No | No |
| 18574436 | Vehicle, Computing System, Operating Method of Computing System and Computer Program | December 2023 | June 2025 | Allow | 18 | 1 | 0 | Yes | No |
| 18544348 | HIGHLY EFFICIENT INEXACT COMPUTING STORAGE DEVICE | December 2023 | April 2025 | Allow | 16 | 1 | 0 | Yes | No |
| 18517830 | COMPUTATIONAL GRAPH CRITICAL SECTIONS | November 2023 | March 2025 | Allow | 16 | 1 | 0 | No | No |
| 18516173 | Asynchronous Object Manager In A Network Routing Environment | November 2023 | January 2025 | Allow | 14 | 1 | 0 | No | No |
| 18514981 | ALLOCATING COMPUTING RESOURCES BASED ON USER INTENT | November 2023 | August 2024 | Allow | 9 | 0 | 0 | Yes | No |
| 18508155 | ARCHITECTURE FOR MANAGING I/O AND STORAGE FOR A VIRTUALIZATION ENVIRONMENT | November 2023 | December 2024 | Allow | 13 | 1 | 0 | No | No |
| 18240499 | ADDITIONAL IMPROVEMENTS TO NBMP STANDARD | August 2023 | September 2024 | Allow | 12 | 1 | 0 | No | No |
| 18227849 | TECHNIQUES FOR CONTAINER SCHEDULING IN A VIRTUAL ENVIRONMENT | July 2023 | June 2024 | Allow | 11 | 1 | 0 | No | No |
| 18227079 | TRADE PLATFORM WITH REINFORCEMENT LEARNING NETWORK AND MATCHING ENGINE | July 2023 | May 2024 | Allow | 10 | 1 | 0 | No | No |
| 18355056 | STREAM-BASED JOB PROCESSING | July 2023 | October 2024 | Allow | 15 | 1 | 0 | No | No |
| 18353694 | SCALABLE VIRTUAL MACHINE OPERATION INSIDE TRUST DOMAINS WITHIN THE TRUST DOMAIN ARCHITECTURE | July 2023 | November 2024 | Allow | 16 | 1 | 0 | No | No |
| 18215534 | OPTIMIZATION OF CLOUD EGRESS TASKS | June 2023 | January 2026 | Allow | 31 | 1 | 0 | Yes | No |
| 18340281 | SCHEDULING MULTIPLE PROCESSES WITH VARYING DELAY SENSITIVITY | June 2023 | October 2024 | Allow | 16 | 1 | 0 | Yes | No |
| 18210566 | CLUSTER JOB SUBMISSION | June 2023 | September 2024 | Allow | 15 | 1 | 0 | Yes | No |
| 18206032 | DYNAMIC INFORMATION VIRTUALIZATION | June 2023 | January 2026 | Allow | 31 | 3 | 0 | Yes | No |
| 18329576 | Systems and Methods for Java Virtual Machine Management | June 2023 | September 2025 | Allow | 28 | 3 | 0 | Yes | No |
| 18197824 | EXTRACTION OF SIDE CHANNEL INFORMATION FROM MULTITHREADED PROCESSORS BASED ON PROCESSOR RESOURCE CONTENTION | May 2023 | August 2024 | Allow | 15 | 1 | 0 | No | No |
| 18142670 | APPARATUS AND METHOD FOR TASK ALLOCATION | May 2023 | March 2024 | Allow | 11 | 3 | 0 | Yes | No |
| 18194059 | SYSTEM AND METHODS FOR TRANSACTION-BASED PROCESS MANAGEMENT | March 2023 | May 2024 | Allow | 14 | 1 | 0 | Yes | No |
| 18186709 | PRE-EMPTIVE SCHEDULING OF WORKLOADS TO ENABLE IMPROVED SHARING OF RESOURCES | March 2023 | February 2026 | Allow | 35 | 1 | 0 | Yes | No |
| 18180777 | TECHNIQUES FOR SEQUENTIAL DATA ENRICHMENT | March 2023 | January 2026 | Allow | 35 | 1 | 0 | Yes | No |
| 18169386 | SYSTEMS AND METHODS FOR MICROSERVICES BASED FUNCTIONALITIES | February 2023 | December 2025 | Allow | 34 | 6 | 0 | Yes | No |
| 18163721 | METHOD AND SYSTEM FOR AUTOMATED MIGRATION OF HIGH PERFORMANCE COMPUTING APPLICATION TO SERVERLESS PLATFORM | February 2023 | September 2025 | Allow | 31 | 0 | 0 | No | No |
| 18162704 | MEMORY DEALLOCATION ACROSS A TRUST BOUNDARY | January 2023 | May 2024 | Allow | 16 | 1 | 0 | No | No |
| 18101407 | METHOD AND SYSTEM FOR AUTOMATICALLY PROVIDING A PROCESS COMPLETION INFORMATION OF AN APPLICATION PROCESS | January 2023 | October 2025 | Allow | 33 | 1 | 0 | No | No |
| 18158366 | Methods for User Interface Generation and Application Modification | January 2023 | December 2023 | Allow | 11 | 1 | 0 | No | No |
| 18152391 | PROACTIVE RESOURCE PROVISIONING IN LARGE-SCALE CLOUD SERVICE WITH INTELLIGENT POOLING | January 2023 | January 2026 | Allow | 36 | 2 | 0 | No | No |
| 18091544 | USER-AWARE REQUEST PROCESSING IN APPLICATION SERVICES | December 2022 | March 2024 | Allow | 14 | 2 | 0 | Yes | No |
| 18087848 | VIRTUAL DESKTOPS ACCESS CONTROL | December 2022 | December 2025 | Abandon | 35 | 1 | 0 | No | No |
| 18145662 | DYNAMIC PROVISIONING OF PORTIONS OF A DATA PROCESSING ARRAY FOR SPATIAL AND TEMPORAL SHARING | December 2022 | January 2026 | Allow | 37 | 2 | 0 | Yes | No |
| 18082070 | USER INTERFACE AUTOMATION AND MONITORING INTEGRATING APPLICATION EVENT LISTENERS | December 2022 | February 2026 | Allow | 38 | 2 | 0 | Yes | No |
| 18078839 | DESIGN OPERATION EXECUTION FOR CONNECTION SERVICE INTEGRATION | December 2022 | October 2025 | Allow | 34 | 1 | 0 | No | No |
| 18075717 | SYSTEMS, METHODS AND COMPUTER PROGRAM PRODUCTS FOR JOB MANAGEMENT | December 2022 | September 2025 | Allow | 33 | 1 | 0 | No | No |
| 18061459 | Methods and User Interface Generation and Application Modification | December 2022 | February 2024 | Allow | 15 | 1 | 0 | No | No |
| 18071904 | BLOCKCHAIN REQUEST PRESCREENING FOR PARALLEL REQUEST PROCESSING | November 2022 | November 2025 | Abandon | 36 | 1 | 0 | No | No |
| 18053174 | PREVENTING SCHEDULING OR EXECUTING A RESOURCE ON AN INCONSISTENT HOST NODE | November 2022 | August 2025 | Allow | 34 | 1 | 0 | No | No |
| 17980070 | System and Method of Context Oriented Quotas (CoQ) In Cloud Systems | November 2022 | March 2026 | Abandon | 40 | 2 | 0 | Yes | No |
| 17976214 | METHOD FOR ROBOTIC PROCESS AUTOMATION, APPARATUS AND SYSTEM FOR EXECUTING THE METHOD | October 2022 | February 2026 | Allow | 40 | 2 | 0 | No | No |
| 18049689 | Techniques for Discarding Graphics Work for Quality of Service | October 2022 | September 2025 | Allow | 35 | 1 | 0 | Yes | No |
| 17956060 | EXTENSIBLE SCHEMES AND SCHEME SIGNALING FOR CLOUD BASED PROCESSING | September 2022 | April 2024 | Allow | 18 | 1 | 0 | No | No |
| 17951423 | DISTRIBUTED COMMUNICATION BETWEEN DEVICES | September 2022 | November 2025 | Allow | 38 | 1 | 0 | Yes | No |
| 17933235 | METHOD, APPARATUS, AND STORAGE MEDIUM FOR SCHEDULING TASKS | September 2022 | August 2025 | Allow | 35 | 2 | 0 | No | No |
| 17887968 | APPARATUS AND METHOD WITH SCHEDULING | August 2022 | October 2025 | Allow | 38 | 2 | 0 | Yes | No |
| 17878401 | Data Processing Method and Computer Device | August 2022 | January 2025 | Allow | 29 | 3 | 0 | Yes | No |
| 17874658 | METHODS AND APPARATUS FOR WORKLOAD SCHEDULING | July 2022 | June 2025 | Allow | 35 | 1 | 0 | No | No |
| 17871317 | COMPUTATIONAL RESOURCE ALLOCATION ADVISOR FOR ELASTIC CLOUD DATABASES | July 2022 | June 2025 | Allow | 34 | 1 | 0 | No | No |
| 17813448 | VIRTUAL MACHINE OPERATION MANAGEMENT IN COMPUTING DEVICES | July 2022 | February 2024 | Allow | 19 | 2 | 0 | Yes | No |
| 17863823 | METHOD FOR SELECTING AND CONTROLLING SECOND WORK PROCESS DURING FIRST WORK PROCESS IN MULTITASKING MOBILE TERMINAL | July 2022 | May 2024 | Allow | 22 | 2 | 0 | No | No |
| 17862983 | SYSTEM AND METHOD FOR INFERENCE GENERATION THROUGH DYNAMIC REASSIGNMENT OF INFERENCE MODEL PORTIONS | July 2022 | July 2025 | Allow | 36 | 0 | 0 | No | No |
| 17810162 | SYSTEMS AND METHODS FOR DYNAMIC TASK SCHEDULING AND RESCHEDULING USING HETEROGENEOUS MULTI-AGENT FLEET | June 2022 | June 2025 | Allow | 36 | 1 | 0 | No | No |
| 17846345 | Function Node Migration Method and Related Device | June 2022 | March 2026 | Allow | 45 | 3 | 0 | Yes | No |
| 17843879 | AUTOMATICALLY PROVISIONING AND MANAGING SECURE DATABASE RESOURCES IN A CLOUD COMPUTING ENVIRONMENT | June 2022 | September 2025 | Allow | 39 | 2 | 0 | No | No |
| 17840150 | METHOD FOR COORDINATING INFRASTRUCTURE UPGRADE WITH HOSTED APPLICATIONS/VIRTUAL NETWORK FUNCTIONS (VNFs) | June 2022 | September 2023 | Allow | 15 | 1 | 0 | No | No |
| 17718419 | DISTRIBUTED CONTROL PLANE FOR HANDLING WORKER NODE FAILURES OF A DISTRIBUTED STORAGE ARCHITECTURE | April 2022 | January 2025 | Allow | 34 | 1 | 0 | Yes | No |
| 17715567 | MULTI-CLOUD SPOT INSTANCE MARKET | April 2022 | August 2025 | Abandon | 40 | 2 | 0 | Yes | No |
| 17714975 | HIGH-PERFORMANCE COMPUTING DEVICE WITH ADAPTABLE COMPUTING POWER | April 2022 | August 2025 | Allow | 41 | 2 | 0 | Yes | No |
| 17714247 | WORKFLOW OPTIMIZATION | April 2022 | September 2023 | Allow | 17 | 1 | 0 | Yes | No |
| 17705176 | ARCHITECTURE FOR MANAGING I/O AND STORAGE FOR A VIRTUALIZATION ENVIRONMENT | March 2022 | August 2023 | Allow | 16 | 1 | 0 | Yes | No |
| 17699992 | LOAD STORE BANK AWARE THREAD SCHEDULING TECHNIQUES | March 2022 | August 2025 | Allow | 41 | 1 | 0 | Yes | No |
| 17697051 | EFFICIENCY-ADJUSTED HARDWARE RESOURCE CAPACITY TO SUPPORT A WORKLOAD PLACEMENT DECISION | March 2022 | May 2025 | Allow | 38 | 2 | 0 | Yes | No |
| 17695466 | DEVICE MANAGEMENT BASED ON DEGRADATION AND WORKLOAD | March 2022 | May 2025 | Allow | 38 | 2 | 0 | No | No |
| 17695607 | COMBINED SECURITY AND VIRTUAL INFRASTRUCTURE MANAGEMENT SYSTEM AND RELATED APPLICATION | March 2022 | February 2025 | Abandon | 35 | 1 | 0 | No | No |
| 17753715 | PARALLEL DATA PROCESSING IN EMBEDDED SYSTEMS | March 2022 | December 2025 | Allow | 45 | 3 | 0 | No | No |
| 17691104 | CONTROL METHOD, CONTROL APPARATUS, AND ELECTRONIC DEVICE | March 2022 | July 2025 | Allow | 40 | 2 | 0 | No | No |
| 17689049 | COMPUTATIONAL STORAGE DEVICE AND STORAGE SYSTEM INCLUDING THE COMPUTATIONAL STORAGE DEVICE | March 2022 | October 2025 | Allow | 43 | 3 | 0 | Yes | No |
| 17688560 | Lifecycle Management of VNFC Software Modules | March 2022 | May 2023 | Allow | 14 | 1 | 0 | Yes | No |
| 17680355 | MULTIPLE READER/WRITER MODE FOR CONTAINERS IN A VIRTUALIZED COMPUTING ENVIRONMENT | February 2022 | December 2024 | Allow | 34 | 1 | 0 | No | No |
| 17680725 | ADJUSTING THE SIZE OF A RESOURCE POOL FOR A VIRTUAL MACHINE BASED ON EVENTS ASSOCIATED WITH THE VIRTUAL MACHINE | February 2022 | April 2025 | Allow | 37 | 3 | 0 | Yes | No |
| 17678777 | METHOD AND SYSTEM FOR MAXIMIZING RESOURCE UTILIZATION AND USER EXPERIENCE FOR A POOL OF VIRTUAL DESKTOPS | February 2022 | August 2025 | Abandon | 41 | 2 | 0 | No | No |
| 17674187 | MANAGING CUSTOM WORKFLOWS FOR DOMAIN OBJECTS DEFINED WITHIN MICROSERVICES | February 2022 | September 2022 | Allow | 7 | 1 | 0 | Yes | No |
| 17632301 | SOFTWARE UPDATING APPARATUS, SOFTWARE UPDATING METHOD, AND PROGRAM | February 2022 | November 2024 | Allow | 33 | 2 | 0 | Yes | No |
| 17572568 | METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR CUSTOMIZING DATA PLANE PIPELINE PROCESSING USING BERKELEY PACKET FILTER (BPF) HOOK ENTRY POINTS | January 2022 | July 2025 | Allow | 42 | 3 | 0 | No | No |
| 17644731 | SYSTEMS AND METHODS FOR RESOLVING INTERDEPENDENCIES BETWEEN USER INTERFACES IN A DOMAIN DRIVEN DESIGN MICROSERVICE ARCHITECTURE | December 2021 | June 2025 | Allow | 42 | 3 | 0 | No | No |
| 17549620 | APPLICATION PROGRAMMING INTERFACE TO CAUSE GRAPH CODE TO WAIT ON A SEMAPHORE | December 2021 | October 2025 | Allow | 46 | 2 | 0 | Yes | No |
| 17539893 | Asynchronous Object Manager In A Network Routing Environment | December 2021 | June 2023 | Allow | 18 | 1 | 0 | Yes | No |
| 17536018 | SCHEDULING SYSTEM FOR COMPUTATIONAL WORK ON HETEROGENEOUS HARDWARE | November 2021 | September 2023 | Abandon | 21 | 1 | 0 | No | No |
| 17533223 | COMPUTATIONAL GRAPH CRITICAL SECTIONS | November 2021 | August 2023 | Allow | 21 | 1 | 0 | No | No |
| 17525300 | Hardware Accelerator Service Aggregation | November 2021 | April 2025 | Allow | 41 | 3 | 0 | Yes | Yes |
| 17454607 | REDUCING LATENCY IN HIGHLY SCALABLE HPC APPLICATIONS VIA ACCELERATOR-RESIDENT RUNTIME MANAGEMENT | November 2021 | January 2026 | Allow | 50 | 4 | 0 | No | No |
| 17454132 | SOFTWARE DEFINED ANOMALY DETECTION FOR WORKLOADS | November 2021 | December 2024 | Allow | 37 | 2 | 0 | No | No |
| 17521592 | TECHNOLOGIES FOR PROVIDING DYNAMIC SELECTION OF EDGE AND LOCAL ACCELERATOR RESOURCES | November 2021 | September 2023 | Allow | 22 | 1 | 0 | Yes | No |
| 17520161 | CONTROL DEVICE AND CONTROL METHOD FOR MULTIPLE VIRTUAL MACHINES | November 2021 | October 2024 | Abandon | 36 | 1 | 0 | No | No |
| 17511994 | REMOVING SOFTWARE OPERATORS FROM DISTRIBUTED COMPUTING ENVIRONMENTS | October 2021 | July 2024 | Allow | 32 | 1 | 0 | Yes | No |
| 17505820 | SYSTEMS AND METHODS FOR WORKLOAD PLACEMENT BASED ON SUBGRAPH SIMILARITY | October 2021 | October 2024 | Allow | 36 | 2 | 0 | No | No |
| 17504062 | AUTOMATIC LOCALIZATION OF ACCELERATION IN EDGE COMPUTING ENVIRONMENTS | October 2021 | May 2023 | Allow | 19 | 1 | 0 | Yes | No |
| 17502196 | TELEMETRY OF ARTIFICIAL INTELLIGENCE (AI) AND/OR MACHINE LEARNING (ML) WORKLOADS | October 2021 | November 2025 | Abandon | 49 | 4 | 0 | Yes | No |
| 17594026 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM | September 2021 | January 2025 | Abandon | 39 | 2 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner SWIFT, CHARLES M.
With a 13.0% 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, 34.4% 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 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 SWIFT, CHARLES M works in Art Unit 2196 and has examined 782 patent applications in our dataset. With an allowance rate of 81.8%, this examiner has an above-average tendency to allow applications. Applications typically reach final disposition in approximately 30 months.
Examiner SWIFT, CHARLES M's allowance rate of 81.8% places them in the 53% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.
On average, applications examined by SWIFT, CHARLES M receive 2.28 office actions before reaching final disposition. This places the examiner in the 64% 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 SWIFT, CHARLES M is 30 months. This places the examiner in the 59% percentile for prosecution speed. Prosecution timelines are slightly faster than average with this examiner.
Conducting an examiner interview provides a +20.7% benefit to allowance rate for applications examined by SWIFT, CHARLES M. This interview benefit is in the 65% percentile among all examiners. Recommendation: Interviews provide an above-average benefit with this examiner and are worth considering.
When applicants file an RCE with this examiner, 31.6% of applications are subsequently allowed. This success rate is in the 65% 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 15.6% of cases where such amendments are filed. This entry rate is in the 17% 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.
When applicants request a pre-appeal conference (PAC) with this examiner, 64.5% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 52% 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 68.1% of appeals filed. This is in the 54% percentile among all examiners. Of these withdrawals, 38.8% 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, 37.3% are granted (fully or in part). This grant rate is in the 25% 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 1.7% of allowed cases (in the 72% 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 15% 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.