Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18760152 | CLOUD RESOURCES FOR SMARTPHONE APPLICATIONS | July 2024 | May 2025 | Allow | 10 | 1 | 0 | No | No |
| 18738221 | SYSTEMS AND METHODS FOR OPTIMIZED EXECUTION OF PROGRAM OPERATIONS ON CLOUD-BASED SERVICES BASED ON PROCESSING CONSTRAINTS | June 2024 | June 2025 | Allow | 12 | 1 | 0 | No | No |
| 18738246 | SYSTEMS AND METHODS FOR OPTIMIZED EXECUTION OF PROGRAM OPERATIONS ON CLOUD-BASED SERVICES | June 2024 | May 2025 | Allow | 11 | 1 | 0 | No | No |
| 18669909 | Merging Streams For Call Enhancement In Virtual Desktop Infrastructure | May 2024 | December 2025 | Allow | 19 | 2 | 0 | Yes | No |
| 18667648 | HYPERVISOR HIBERNATION | May 2024 | December 2024 | Allow | 7 | 0 | 0 | No | No |
| 18538237 | HYPERVISOR HOT RESTART | December 2023 | July 2024 | Allow | 7 | 0 | 0 | Yes | No |
| 18512913 | SERVICES DEVELOPMENT AND DEPLOYMENT FOR BACKEND SYSTEM INTEGRATION | November 2023 | March 2026 | Allow | 28 | 0 | 0 | Yes | No |
| 18511676 | TRIGGERED QUEUE TRANSFORMATION | November 2023 | July 2024 | Allow | 8 | 0 | 0 | No | No |
| 18387902 | COMPUTING NETWORKING SYSTEM FOR CONTAINER ORCHESTRATION AND METHOD THEREOF | November 2023 | February 2026 | Allow | 28 | 0 | 0 | No | No |
| 18459307 | FLOW CONFIGURABLE EVENT-DRIVEN MICROSERVICES | August 2023 | January 2026 | Allow | 28 | 0 | 0 | No | No |
| 18365806 | Replicated Time Wheel Delay Event Scheduling | August 2023 | February 2026 | Allow | 30 | 0 | 0 | Yes | No |
| 18365513 | CROSS-INSTANCE INTELLIGENT RESOURCE POOLING FOR DISPARATE DATABASES IN CLOUD NATIVE ENVIRONMENT | August 2023 | December 2025 | Allow | 28 | 0 | 0 | No | No |
| 18219217 | PROVIDING STATEFUL SERVICES IN A SCALABLE MANNER FOR MACHINES EXECUTING ON HOST COMPUTERS | July 2023 | August 2025 | Abandon | 25 | 4 | 0 | No | No |
| 18347725 | System Integration in Automation Engineering | July 2023 | February 2026 | Allow | 31 | 1 | 0 | No | No |
| 18345827 | REINFORCEMENT LEARNING POLICY SERVING AND TRAINING FRAMEWORK IN PRODUCTION CLOUD SYSTEMS | June 2023 | February 2026 | Allow | 31 | 1 | 0 | Yes | No |
| 18343729 | BLOCKCHAIN PROVISION SYSTEM AND METHOD USING NON-COMPETITIVE CONSENSUS ALGORITHM AND MICRO-CHAIN ARCHITECTURE TO ENSURE TRANSACTION PROCESSING SPEED, SCALABILITY, AND SECURITY SUITABLE FOR COMMERCIAL SERVICES | June 2023 | December 2025 | Allow | 30 | 2 | 0 | Yes | No |
| 18269261 | METHOD AND APPARATUS FOR DEPLOYING DEEP LEARNING SYSTEM | June 2023 | October 2025 | Allow | 28 | 0 | 0 | No | No |
| 18335004 | METHODS AND SYSTEMS FOR SEAMLESS VIRTUAL MACHINE CHANGING FOR SOFTWARE APPLICATIONS | June 2023 | August 2024 | Allow | 14 | 1 | 0 | No | No |
| 18325647 | GRAPH PARTITIONING AND IMPLEMENTATION OF LARGE MODELS ON TENSOR STREAMING PROCESSORS | May 2023 | March 2026 | Allow | 33 | 1 | 0 | Yes | No |
| 18311356 | VIRTUAL HARDWARE COMPONENTS | May 2023 | January 2026 | Allow | 33 | 1 | 0 | Yes | No |
| 18302652 | POWER-MANAGEMENT VIRTUAL MACHINES | April 2023 | January 2026 | Allow | 33 | 1 | 0 | No | No |
| 18193853 | Automated Provisioning of Cloud Resources | March 2023 | January 2026 | Allow | 34 | 1 | 0 | Yes | No |
| 18193032 | CACHING MEMORY MAPPED I/O EMULATION FOR VIRTUAL MACHINES | March 2023 | January 2026 | Allow | 34 | 1 | 0 | No | No |
| 18120965 | ENABLING COMMUNICATION BETWEEN VIRTUAL MACHINES AND VIRTUAL DEVICES BY HYPERVISOR-CONTROLLED FIRMWARE | March 2023 | February 2026 | Allow | 35 | 1 | 0 | Yes | No |
| 18178876 | DISTRIBUTED, DETERMINISTIC COMPUTE AND NETWORKING CO-SCHEDULING SYSTEM FOR CYBER-PHYSICAL SYSTEMS BASED ON A TIME-TRIGGERED ARCHITECTURE | March 2023 | February 2026 | Abandon | 35 | 1 | 0 | No | No |
| 18107034 | ACCESS METHOD OF STORAGE DEVICE AND VIRTUAL DEVICE | February 2023 | November 2025 | Allow | 33 | 1 | 0 | Yes | No |
| 18102683 | METHODS, SYSTEMS AND APPARATUS TO PROVIDE A HIGHLY AVAILABLE CLUSTER NETWORK | January 2023 | December 2025 | Abandon | 35 | 1 | 0 | No | No |
| 18098617 | REENTRANT SERVICE DEPLOYMENTS | January 2023 | June 2025 | Allow | 29 | 0 | 0 | Yes | No |
| 18155255 | POD DEPLOYMENT IN A GUEST CLUSTER EXECUTING AS A VIRTUAL EXTENSION OF MANAGEMENT CLUSTER IN A VIRTUALIZED COMPUTING SYSTEM | January 2023 | January 2026 | Allow | 36 | 1 | 0 | No | No |
| 18148515 | INFORMATION PROCESSING DEVICE, VEHICLE, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM | December 2022 | January 2026 | Allow | 37 | 1 | 0 | Yes | No |
| 18079182 | SYSTEM AND METHOD FOR ESG REPORTNG BASED OPTIMIZED RESOURCE ALLOCATION ACROSS ESG DIMENSIONS | December 2022 | May 2025 | Allow | 30 | 0 | 0 | Yes | No |
| 17926059 | PRE-LOADING SOFTWARE APPLICATIONS IN A CLOUD COMPUTING ENVIRONMENT | November 2022 | December 2025 | Allow | 37 | 1 | 0 | Yes | No |
| 17988793 | GENERATING INSTALLATION IMAGES BASED UPON DPU-SPECIFIC CAPABILITIES | November 2022 | September 2025 | Allow | 34 | 1 | 0 | No | No |
| 17967322 | FAIL-SAFE POST COPY MIGRATION OF CONTAINERIZED APPLICATIONS | October 2022 | March 2026 | Allow | 41 | 2 | 0 | No | No |
| 17935124 | METHODS AND SYSTEMS FOR IDENTIFYING MULTIPLE WORKLOADS IN A HETEROGENEOUS ENVIRONMENT | September 2022 | September 2025 | Allow | 36 | 1 | 0 | Yes | No |
| 17784866 | METHOD, APPARATUS, AND DEVICE FOR GENERATING BARE METAL SERVER LINUX SYSTEM IMAGE | September 2022 | August 2025 | Allow | 39 | 1 | 0 | Yes | No |
| 17931401 | Non-Disruptive Hibernating And Resuming Guest Environment Using Network Virtual Service Client | September 2022 | January 2026 | Allow | 40 | 2 | 0 | Yes | No |
| 17901891 | GUEST OS MANAGED POINT IN TIME SNAPSHOTS | September 2022 | August 2025 | Allow | 36 | 1 | 0 | Yes | No |
| 17899288 | MANAGING EVENTS FOR SERVICES OF A CLOUD PLATFORM IN A HYBRID CLOUD ENVIRONMENT | August 2022 | September 2025 | Allow | 37 | 1 | 0 | Yes | No |
| 17897584 | DATA-AT-REST PROTECTION FOR VIRTUAL MACHINES | August 2022 | December 2025 | Allow | 40 | 3 | 0 | Yes | No |
| 17896718 | MAPPING COMMON PATHS FOR APPLICATIONS | August 2022 | November 2025 | Abandon | 39 | 1 | 0 | No | No |
| 17816187 | UTILIZATION OF A RESOURCE TO PERFORM A TASK BASED ON A PREDICTED CAPACITY OF THE RESOURCE | July 2022 | July 2025 | Allow | 36 | 2 | 0 | Yes | No |
| 17876457 | OFFLOADING STATEFUL SERVICES FROM GUEST MACHINES TO HOST RESOURCES | July 2022 | January 2026 | Abandon | 41 | 2 | 0 | Yes | No |
| 17871021 | CLOUD SAFETY COMPUTING METHOD, DEVICE AND STORAGE MEDIUM BASED ON CLOUD FAULT-TOLERANT TECHNOLOGY | July 2022 | February 2026 | Abandon | 43 | 2 | 0 | No | No |
| 17871500 | PROVIDING AVAILABILITY OF PASSTHROUGH DEVICES CONFIGURED ON VIRTUAL COMPUTING INSTANCES | July 2022 | October 2025 | Abandon | 38 | 1 | 0 | No | No |
| 17852200 | EFFICIENT NETWORK DEVICE FAILOVER MANAGEMENT FOR VIRTUAL MACHINES | June 2022 | June 2025 | Allow | 36 | 2 | 0 | No | No |
| 17849694 | SYSTEM FOR APPLICATION PROTECTION AND NON-TRANSITORY MACHINE-READABLE MEDIUM FOR STORING PROGRAM CODE THAT PROVIDES APPLICATION PROTECTION WHEN EXECUTED | June 2022 | March 2025 | Allow | 32 | 0 | 0 | No | No |
| 17846820 | FOCUS SYNCHRONIZATION ACROSS INCOMPATIBLE OPERATING SYSTEMS | June 2022 | February 2025 | Allow | 32 | 1 | 0 | Yes | No |
| 17841552 | ALLOCATING OF COMPUTING RESOURCES FOR APPLICATIONS | June 2022 | November 2025 | Allow | 41 | 2 | 0 | Yes | No |
| 17840941 | SETTING CHANGING DEVICE, SETTING CHANGING METHOD, AND COMPUTER READABLE MEDIUM | June 2022 | June 2025 | Abandon | 36 | 1 | 0 | No | No |
| 17663875 | INFORMATION PROCESSING SYSTEM | May 2022 | April 2025 | Allow | 35 | 2 | 0 | Yes | No |
| 17771450 | SIGNAL PROCESSING DEVICE AND DISPLAY APPARATUS FOR VEHICLES INCLUDING THE SAME | April 2022 | September 2025 | Allow | 40 | 2 | 0 | Yes | No |
| 17724484 | DEVICE PASS-THROUGH METHOD FOR VIRTUAL MACHINE AND SERVER USING THE SAME | April 2022 | June 2025 | Abandon | 37 | 1 | 0 | No | No |
| 17711462 | CONTAINER PROVISIONING | April 2022 | February 2026 | Abandon | 47 | 2 | 0 | No | No |
| 17709836 | SYSTEM AND METHOD FOR DEPLOYING A SOFTWARE-DEFINED DATA CENTER BASED ON DESIRED STATE SPECIFICATION FROM VIRTUALIZATION SOFTWARE | March 2022 | July 2025 | Allow | 39 | 2 | 0 | No | Yes |
| 17704140 | METHOD AND APPARATUS FOR SCHEDULING WORKFLOW ON CLOUD PLATFORMS USING LINUX CRON | March 2022 | August 2025 | Abandon | 41 | 2 | 0 | Yes | No |
| 17702198 | METHOD AND APPARATUS FOR SCHEDULING WORKFLOW ON CLOUD PLATFORMS | March 2022 | January 2025 | Allow | 34 | 1 | 0 | No | No |
| 17701505 | METHODS AND SYSTEMS FOR DECENTRALIZED BLOCKCHAIN-SCHEDULED CONTAINER ORCHESTRATION, REPOSITORY AND CODE DEPLOYMENT WITH TOKENIZED TRACKING | March 2022 | October 2025 | Abandon | 42 | 1 | 1 | No | No |
| 17699814 | MAPPING LOGICAL PARTITIONS FOR EVENT DATA TO A PLURALITY OF QUEUES | March 2022 | January 2025 | Allow | 34 | 1 | 0 | Yes | No |
| 17698668 | GENERATING POWER EFFICIENT SECURE MULTICLIENT PERFORMANCE MONITORING DATA | March 2022 | July 2025 | Allow | 40 | 3 | 0 | Yes | No |
| 17696921 | PRE-POPULATED SECURITY POLICIES FOR VIRTUAL DESKTOP SESSIONS | March 2022 | April 2025 | Abandon | 37 | 1 | 0 | No | No |
| 17695949 | DUAL STAGE BULKHEADS | March 2022 | August 2024 | Allow | 29 | 0 | 0 | No | No |
| 17641921 | METHOD FOR OVERLOAD CONTROL IN A CONTAINER-VIRTUALIZED COMPUTING APPARATUS | March 2022 | April 2025 | Allow | 38 | 2 | 0 | Yes | No |
| 17691759 | Virtualizing Hardware Processing Resources in a Processor | March 2022 | July 2025 | Allow | 40 | 2 | 0 | Yes | No |
| 17691168 | COMPUTER-READABLE RECORDING MEDIUM STORING JOB OPERATION PROGRAM, JOB OPERATION SYSTEM, AND JOB OPERATION METHOD | March 2022 | February 2025 | Allow | 35 | 2 | 0 | Yes | No |
| 17688028 | ASYNCHRONOUS INPUT DEPENDENCY RESOLUTION MECHANISM | March 2022 | September 2024 | Allow | 30 | 0 | 0 | No | No |
| 17687593 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM | March 2022 | February 2025 | Allow | 35 | 1 | 0 | Yes | No |
| 17671379 | RUNTIME CUSTOMIZATION FOR NETWORK FUNCTION DEPLOYMENT | February 2022 | October 2025 | Abandon | 44 | 3 | 0 | No | No |
| 17590372 | Optimization of Virtual Warehouse Computing Resource Allocation | February 2022 | October 2024 | Allow | 32 | 1 | 0 | Yes | No |
| 17564794 | MEMORY RECLAMATION METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM | December 2021 | January 2025 | Abandon | 37 | 1 | 0 | No | No |
| 17564519 | EDGE COMPUTE ENVIRONMENT CONFIGURATION TOOL | December 2021 | April 2025 | Abandon | 40 | 2 | 0 | No | Yes |
| 17646044 | REAL-TIME SIMULATION OF COMPUTE ACCELERATOR WORKLOADS WITH REMOTELY ACCESSED WORKING SETS | December 2021 | November 2024 | Allow | 35 | 1 | 0 | No | No |
| 17554166 | CONFIGURABLE AND SCALABLE MACHINE LEARNING MODEL LIFECYCLE OPERATOR | December 2021 | November 2024 | Allow | 35 | 1 | 0 | Yes | No |
| 17643802 | OFFLOADING OF REMOTE SERVICE INTERACTIONS TO VIRTUALIZED SERVICE DEVICES | December 2021 | September 2024 | Allow | 33 | 1 | 0 | Yes | No |
| 17539161 | MANAGEMENT OF SECRETS DURING DEPLOYMENT OF VIRTUAL ENVIRONMENT | November 2021 | September 2024 | Allow | 34 | 1 | 0 | Yes | No |
| 17537824 | TIME-BOUND TASK MANAGEMENT IN PARALLEL PROCESSING ENVIRONMENT | November 2021 | June 2025 | Allow | 42 | 3 | 0 | Yes | No |
| 17536325 | METHOD FOR AUTOMATIC SCHEDULING OF TASKS, ELECTRONIC DEVICE EMPLOYING METHOD, AND COMPUTER READABLE STORAGE MEDIUM | November 2021 | January 2025 | Allow | 37 | 2 | 0 | Yes | No |
| 17535458 | ENABLING A HOST PASSTHROUGH BASED ON A HARDWARE IDENTIFICATION INSTRUCTION | November 2021 | November 2025 | Abandon | 47 | 2 | 0 | No | No |
| 17611017 | SYSTEMS AND METHODS FOR DIGITAL WORKFORCE INTELLIGENT ORCHESTRATION | November 2021 | June 2025 | Allow | 43 | 3 | 0 | Yes | No |
| 17484825 | MULTIPLE SECURE VIRTUAL PROCESSORS FOR A TRUST DOMAIN | September 2021 | November 2024 | Allow | 37 | 2 | 0 | Yes | No |
| 17484473 | Wireless Network Authentication by a Trusted Virtual Machine | September 2021 | July 2025 | Allow | 45 | 4 | 0 | Yes | No |
| 17471263 | SYSTEM AND METHOD FOR A SYSTEM CONTROL PROCESSOR-CONTROLLED PARTITIONING OF BARE-METAL SYSTEM RESOURCES | September 2021 | October 2024 | Allow | 38 | 2 | 0 | No | No |
| 17470569 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, NON-TRANSITORY STORAGE MEDIUM, AND INFORMATION PROCESSING SYSTEM | September 2021 | September 2024 | Allow | 36 | 1 | 0 | No | No |
| 17469741 | INTELLIGENT CONTAINER CONFIGURING USING AUGMENTED REALITY | September 2021 | May 2025 | Allow | 45 | 4 | 0 | Yes | No |
| 17469605 | SCALING SYSTEM AND CALCULATION METHOD | September 2021 | May 2025 | Allow | 44 | 3 | 0 | Yes | No |
| 17376758 | DIRECT ACCESS TO HARDWARE ACCELERATOR IN AN O-RAN SYSTEM | July 2021 | March 2025 | Abandon | 44 | 2 | 0 | No | No |
| 17369290 | HIGHLY SCALABLE, PEER-BASED, REAL-TIME AGENT ARCHITECTURE | July 2021 | May 2025 | Abandon | 46 | 3 | 0 | No | No |
| 17367470 | AUTOMATED INSTANTIATION AND MANAGEMENT OF MOBILE NETWORKS | July 2021 | December 2024 | Abandon | 41 | 2 | 0 | No | No |
| 17244103 | GENERATING AND/OR MODIFYING METADATA FOR INFRASTRUCTURE AND RUNTIME INFORMATION FOR CONTENT | April 2021 | January 2025 | Allow | 45 | 4 | 0 | Yes | No |
| 17219182 | TRANSPARENT DATA REDUCTION IN PRIVATE/PUBLIC CLOUD ENVIRONMENTS FOR HOST ENCRYPTED DATA | March 2021 | November 2025 | Abandon | 55 | 2 | 0 | Yes | Yes |
| 17171861 | DYNAMIC CONTAINERIZED CONTENT DELIVERY | February 2021 | February 2025 | Allow | 48 | 5 | 0 | Yes | No |
| 17169137 | VIRTUALIZED FILE SERVER DATA SHARING | February 2021 | June 2024 | Allow | 40 | 2 | 0 | Yes | Yes |
| 17135975 | METHOD AND SYSTEM FOR MANAGING APPLICATIONS ON A VIRTUAL MACHINE | December 2020 | May 2025 | Abandon | 53 | 5 | 0 | Yes | No |
| 16989002 | SYSTEMS AND METHODS FOR ACCELERATOR TASK PROFILING VIA VIRTUAL ACCELERATOR MANAGER BASED ON SLOT SPEED | August 2020 | May 2023 | Abandon | 34 | 4 | 0 | No | No |
| 16261534 | METHODS, SYSTEMS, AND DEVICES FOR ADAPTIVE DATA RESOURCE ASSIGNMENT AND PLACEMENT IN DISTRIBUTED DATA STORAGE SYSTEMS | January 2019 | January 2020 | Allow | 12 | 1 | 0 | No | No |
| 16154385 | STREAM PROCESSING AT SCALE | October 2018 | November 2019 | Allow | 13 | 1 | 0 | No | No |
| 16034300 | MANAGING COMPUTATIONAL TASKS IN VEHICLE CONTEXT | July 2018 | March 2020 | Allow | 20 | 0 | 0 | No | No |
| 15997648 | PROGRAM VERIFICATION USING HASH CHAINS | June 2018 | September 2018 | Allow | 3 | 0 | 0 | No | No |
| 15888691 | FACILITATING HIBERNATION MODE TRANSITIONS FOR VIRTUAL MACHINES | February 2018 | May 2019 | Allow | 15 | 2 | 0 | Yes | No |
| 15836052 | MANAGEMENT OF RESOURCES WITHIN A COMPUTING ENVIRONMENT | December 2017 | July 2019 | Allow | 19 | 1 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner KIM, DONG U.
With a 25.0% 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, 55.6% 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 KIM, DONG U works in Art Unit 2197 and has examined 134 patent applications in our dataset. With an allowance rate of 93.3%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 33 months.
Examiner KIM, DONG U's allowance rate of 93.3% places them in the 80% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by KIM, DONG U receive 1.60 office actions before reaching final disposition. This places the examiner in the 31% percentile for office actions issued. This examiner issues fewer office actions than average, which may indicate efficient prosecution or a more lenient examination style.
The median time to disposition (half-life) for applications examined by KIM, DONG U is 33 months. This places the examiner in the 47% percentile for prosecution speed. Prosecution timelines are slightly slower than average with this examiner.
Conducting an examiner interview provides a +7.5% benefit to allowance rate for applications examined by KIM, DONG U. This interview benefit is in the 36% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.
When applicants file an RCE with this examiner, 40.9% of applications are subsequently allowed. This success rate is in the 92% percentile among all examiners. Strategic Insight: RCEs are highly effective with this examiner compared to others. If you receive a final rejection, filing an RCE with substantive amendments or arguments has a strong likelihood of success.
This examiner enters after-final amendments leading to allowance in 15.9% 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, 66.7% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 54% 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 63.6% of appeals filed. This is in the 43% percentile among all examiners. Of these withdrawals, 14.3% 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, 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 0.0% of allowed cases (in the 13% 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 16% 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.