Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18675294 | MEMORY SHARING FOR MACHINE LEARNING PROCESSING | May 2024 | June 2025 | Allow | 13 | 1 | 0 | No | No |
| 18674437 | ELECTRONIC CONTROL OF FLUID OPERATIONS FOR MACHINES | May 2024 | April 2025 | Allow | 10 | 1 | 0 | No | No |
| 18664183 | SYSTEMS AND METHODS FOR DETERMINING ALLOCATABLE RESOURCES DURING PROPORTIONAL MAINTENANCE OF COMPLEX COMPUTING SYSTEMS USING BIFURCATED FILTERING | May 2024 | August 2024 | Allow | 3 | 1 | 0 | Yes | No |
| 18634744 | PROCESSING A USER TASK | April 2024 | September 2025 | Allow | 17 | 4 | 0 | No | No |
| 18631903 | ALLOCATING COMPUTING RESOURCES FOR DEFERRABLE VIRTUAL MACHINES | April 2024 | February 2025 | Allow | 10 | 1 | 0 | No | No |
| 18433101 | NETWORK BEACON FOR HYPERVISOR INSTALLATIONS | February 2024 | March 2025 | Allow | 14 | 2 | 0 | Yes | No |
| 18433389 | Resource Conservation for Containerized Systems | February 2024 | November 2024 | Allow | 10 | 1 | 0 | No | No |
| 18426679 | SYSTEMS AND METHODS OF OPTIMIZING RESOURCE ALLOCATION USING MACHINE LEARNING AND PREDICTIVE CONTROL | January 2024 | December 2024 | Allow | 11 | 1 | 0 | Yes | No |
| 18574657 | EMBEDDED SYSTEM RUNNING METHOD AND APPARATUS, AND EMBEDDED SYSTEM AND CHIP | December 2023 | January 2025 | Allow | 12 | 1 | 0 | No | No |
| 18481474 | INTELLIGENT CONNECTION PLACEMENTS ON SR-IOV VIRTUAL FUNCTIONS | October 2023 | December 2024 | Allow | 15 | 2 | 0 | Yes | No |
| 18477357 | SYSTEM AND METHOD FOR DYNAMICALLY RESIZING COMPUTATIONAL INFRASTRUCTURE TO ACCOMMODATE UNEXPECTED DEMANDS | September 2023 | July 2024 | Allow | 9 | 1 | 0 | No | No |
| 18476690 | OPTIMAL DISPATCHING OF FUNCTION-AS-A-SERVICE IN HETEROGENEOUS ACCELERATOR ENVIRONMENTS | September 2023 | July 2024 | Allow | 10 | 1 | 0 | No | No |
| 18473715 | PERFORMANCE OPTIMIZATION IN ADDITIVE MANUFACTURING | September 2023 | January 2025 | Allow | 16 | 2 | 0 | No | No |
| 18242642 | PROVISIONING AND MANAGING DATA ORCHESTRATION PLATFORMS IN A CLOUD COMPUTING ENVIRONMENT | September 2023 | July 2024 | Allow | 11 | 1 | 0 | No | No |
| 18239930 | SYSTEMS AND METHODS FOR CONFIGURING AND COMMUNICATING WITH HVAC DEVICES | August 2023 | July 2024 | Allow | 11 | 1 | 0 | No | No |
| 18365880 | System and Method for Promoting Reader Groups for Lock Cohorting | August 2023 | May 2024 | Allow | 10 | 1 | 0 | No | No |
| 18229615 | EVOLUTIONARY MODELLING BASED NON-DISRUPTIVE SCHEDULING AND MANAGEMENT OF COMPUTATION JOBS | August 2023 | May 2024 | Allow | 9 | 1 | 0 | Yes | No |
| 18355033 | PREDICTING EXPANSION FAILURES AND DEFRAGMENTING CLUSTER RESOURCES | July 2023 | June 2024 | Allow | 11 | 1 | 0 | No | No |
| 18222937 | HOLISTIC GLOBAL PERFORMANCE AND POWER MANAGEMENT | July 2023 | May 2024 | Allow | 10 | 1 | 0 | No | No |
| 18218983 | ADAPTIVE SELECTION OF MACHINE LEARNING/DEEP LEARNING MODEL WITH OPTIMAL HYPER-PARAMETERS FOR ANOMALY DETECTION OF CONNECTED EQUIPMENT | July 2023 | February 2024 | Allow | 7 | 1 | 0 | No | No |
| 18215921 | Method, System, and Computer Program Product for Dynamically Assigning an Inference Request to a CPU or GPU | June 2023 | July 2024 | Allow | 13 | 2 | 0 | Yes | No |
| 18322833 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING SYSTEM, AND METHOD OF CONTROLLING INFORMATION PROCESSING APPARATUS | May 2023 | October 2025 | Allow | 29 | 0 | 0 | No | No |
| 18317045 | MULTI-PHASE DISTRIBUTED TASK COORDINATION | May 2023 | April 2024 | Allow | 11 | 1 | 0 | Yes | No |
| 18309009 | POWER MANAGEMENT FOR VIRTUAL NETWORK FUNCTIONS OR CONTAINERIZED NETWORK FUNCTIONS | April 2023 | February 2026 | Allow | 34 | 1 | 0 | No | No |
| 18139924 | HARDWARE CO-ORDINATION OF RESOURCE MANAGEMENT IN DISTRIBUTED SYSTEMS | April 2023 | May 2025 | Allow | 25 | 4 | 1 | Yes | No |
| 18194318 | DISTRIBUTED PROCESSING OF PARTITIONED AND ORDERED DATA | March 2023 | October 2025 | Allow | 30 | 0 | 0 | No | No |
| 18246481 | Method, System and Apparatus for Configuring Computing Resource of Service | March 2023 | January 2026 | Allow | 34 | 1 | 0 | No | No |
| 18116942 | ANOMALY DETECTION USING FORECASTING COMPUTATIONAL WORKLOADS | March 2023 | May 2025 | Allow | 27 | 1 | 0 | Yes | No |
| 18115206 | SYSTEM AND METHODS FOR TAG-BASED SYNCHRONIZATION OF TASKS FOR MACHINE LEARNING OPERATIONS | February 2023 | August 2023 | Allow | 5 | 1 | 0 | No | No |
| 18176381 | VIRTUAL PARTITIONING OF A SHARED MESSAGE BUS | February 2023 | July 2023 | Allow | 4 | 0 | 0 | No | No |
| 18175500 | FACILITATING DISTRIBUTED JOB EXECUTION | February 2023 | September 2025 | Allow | 31 | 0 | 0 | No | No |
| 18111354 | NETWORK BEACON FOR HYPERVISOR INSTALLATIONS | February 2023 | October 2023 | Allow | 8 | 1 | 0 | Yes | No |
| 18098772 | PLATFORM INDEPENDENT GPU PROFILES FOR MORE EFFICIENT UTILIZATION OF GPU RESOURCES | January 2023 | May 2023 | Allow | 4 | 0 | 0 | No | No |
| 18098162 | EXCESS CAPACITY GRID FOR ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, AND LOWER PRIORITY PROCESSES | January 2023 | January 2026 | Allow | 36 | 1 | 0 | No | No |
| 18155095 | WORKLOAD SUMMARIZATION FOR CONGESTION AVOIDANCE IN COMPUTER SERVERS | January 2023 | November 2025 | Allow | 34 | 1 | 0 | Yes | No |
| 18095865 | Software Defined Automation System and Architecture | January 2023 | November 2025 | Allow | 34 | 1 | 0 | No | No |
| 18152481 | MULTI-LAYER FORECASTING OF COMPUTATIONAL WORKLOADS | January 2023 | May 2025 | Allow | 29 | 1 | 1 | Yes | No |
| 18095316 | PROVISIONING AND MANAGING DATA ORCHESTRATION PLATFORMS IN A CLOUD COMPUTING ENVIRONMENT | January 2023 | May 2023 | Allow | 4 | 0 | 0 | No | No |
| 18088078 | SUB-IDLE THREAD PRIORITY CLASS | December 2022 | August 2025 | Allow | 31 | 1 | 0 | No | No |
| 18067446 | HARDWARE INTEGRATED, PRIORITY-ENCODED DOMAINS | December 2022 | January 2026 | Allow | 37 | 2 | 0 | No | No |
| 18082447 | REPORT REEXECUTION FRAMEWORK | December 2022 | November 2025 | Allow | 35 | 1 | 0 | Yes | No |
| 18063588 | API and Business Language Schema Design Framework for Message Exchanges | December 2022 | April 2024 | Abandon | 16 | 1 | 0 | Yes | No |
| 18063451 | MONITORING OF RESOURCE CONSUMPTION PER TENANT | December 2022 | October 2025 | Allow | 34 | 1 | 0 | Yes | No |
| 18077065 | TECHNIQUES FOR RESOURCE DISCOVERY WHILE BUILDING DATA CENTERS | December 2022 | September 2025 | Allow | 34 | 1 | 0 | Yes | No |
| 17993803 | SYSTEMS AND METHODS RELATING TO A VIRTUAL CHANNEL ENABLED CREDIT BASED REPEATER PIPELINE | November 2022 | February 2026 | Allow | 39 | 2 | 0 | No | No |
| 18058023 | Complex I/O Value Prediction for Multiple Values with Physical or Virtual Addresses | November 2022 | April 2023 | Allow | 5 | 1 | 0 | No | No |
| 17990086 | AUTOMATIC SYNCHRONOUS OR ASYNCHRONOUS EXECUTION OF REQUESTS | November 2022 | March 2026 | Allow | 40 | 2 | 0 | No | No |
| 18054858 | DYNAMIC CONFIGURATION OF A COMPUTER PROCESSOR BASED ON THE PRESENCE OF A HYPERVISOR | November 2022 | July 2024 | Allow | 20 | 4 | 0 | No | No |
| 17984283 | COMPUTER-READABLE RECORDING MEDIUM STORING INFORMATION PROCESSING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING SYSTEM | November 2022 | September 2025 | Allow | 34 | 1 | 0 | Yes | No |
| 17968621 | User-Controlled Firmware for Hosted Virtual Machines | October 2022 | June 2025 | Allow | 31 | 0 | 0 | No | No |
| 17966301 | SYSTEMS AND METHODS OF HYBRID CENTRALIZED DISTRIBUTIVE SCHEDULING ON SHARED PHYSICAL HOSTS | October 2022 | October 2025 | Allow | 36 | 1 | 0 | No | No |
| 17963699 | ADAPTIVE TRAINING AND DEPLOYMENT OF SINGLE DEVICE AND CLUSTERED DEVICE FAULT DETECTION MODELS FOR CONNECTED EQUIPMENT | October 2022 | April 2023 | Allow | 7 | 1 | 0 | No | No |
| 17960802 | METRIC-AWARE MULTI-CLOUD MIDDLEBOX SERVICE | October 2022 | January 2026 | Abandon | 39 | 1 | 0 | No | No |
| 17937185 | SIMILARITY-BASED QUANTIZATION SELECTION FOR FEDERATED LEARNING WITH HETEROGENEOUS EDGE DEVICES | September 2022 | September 2025 | Allow | 36 | 1 | 0 | No | No |
| 17955179 | SYSTEMS AND METHODS MANAGING CONTAINERS IN AN OPERATIONAL TECHNOLOGY NETWORK | September 2022 | September 2025 | Allow | 36 | 1 | 0 | No | No |
| 17945936 | VIRTUAL MACHINE CREATION BASED ON DYNAMIC GROUP HOST NODE FEATURE SET | September 2022 | August 2025 | Allow | 35 | 1 | 0 | No | No |
| 17941119 | METHOD FOR PROCESS ALLOCATION ON MULTICORE SYSTEMS | September 2022 | April 2025 | Allow | 31 | 0 | 0 | No | No |
| 17801580 | DUPLEX OPERATION SYSTEM, DUPLEX OPERATION METHOD, AND PROGRAM | August 2022 | September 2025 | Abandon | 37 | 1 | 0 | No | No |
| 17888418 | SITE CONVERGENCE AGENT AND ASSOCIATED METHOD | August 2022 | November 2025 | Abandon | 39 | 1 | 0 | No | No |
| 17888162 | METHOD OF SCHEDULING CACHE BUDGET IN MULTI-CORE PROCESSING DEVICE AND MULTI-CORE PROCESSING DEVICE PERFORMING THE SAME | August 2022 | October 2025 | Allow | 38 | 2 | 0 | Yes | No |
| 17882124 | METHOD AND SYSTEM FOR ACCELERATING APPLICATION PERFORMANCE IN SOLID STATE DRIVE | August 2022 | December 2025 | Allow | 40 | 3 | 0 | Yes | No |
| 17882175 | Methods of Hardware and Software-Coordinated Opt-In to Advanced Features on Hetero ISA Platforms | August 2022 | March 2023 | Allow | 7 | 1 | 0 | No | No |
| 17873037 | REPOSITIONING APPLICATIONS FROM PHYSICAL DEVICES TO THE CLOUD | July 2022 | June 2023 | Allow | 10 | 1 | 0 | Yes | No |
| 17813763 | METHODS AND SYSTEMS FOR COMMUNICATIONS BETWEEN HARDWARE COMPONENTS | July 2022 | July 2025 | Allow | 36 | 1 | 0 | No | No |
| 17867705 | INTEGRATED CLUSTERING SYSTEM | July 2022 | July 2025 | Allow | 36 | 1 | 0 | No | No |
| 17861610 | COMPUTER-READABLE RECORDING MEDIUM STORING PROGRAM, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING APPARATUS | July 2022 | July 2025 | Allow | 36 | 1 | 0 | No | No |
| 17846051 | WORKFLOW SCHEDULING METHOD AND SYSTEM BASED ON MULTI-TARGET PARTICLE SWARM ALGORITHM, AND STORAGE MEDIUM | June 2022 | October 2025 | Abandon | 39 | 2 | 0 | No | No |
| 17833808 | MULTI-PHASE DISTRIBUTED TASK COORDINATION | June 2022 | February 2023 | Allow | 8 | 0 | 0 | No | No |
| 17748931 | CLUSTER INFRASTRUCTURE WITH ON-DEMAND ACTIVATION | May 2022 | April 2025 | Allow | 35 | 0 | 0 | No | No |
| 17747277 | SINGLE HOP APPROACH FOR DISTRIBUTED BLOCK STORAGE VIA A NETWORK VIRTUALIZATION DEVICE | May 2022 | November 2025 | Allow | 42 | 2 | 0 | Yes | No |
| 17736791 | HETEROMORPHIC I/O DISCOVERY AND HANDSHAKE | May 2022 | December 2025 | Allow | 43 | 2 | 1 | No | No |
| 17661405 | METHOD AND APPARATUS FOR SUPPORTING SECURITY IMPLEMENTATION IN A VIRTUAL NETWORK | April 2022 | April 2025 | Allow | 35 | 1 | 0 | Yes | No |
| 17733652 | SYSTEMS AND METHODS FOR GENERATING A PROVENANCE RECORD FOR PROCESSING INFORMATION IN ACCORDANCE WITH A COMPUTATIONAL WORKFLOW | April 2022 | June 2025 | Allow | 37 | 1 | 0 | No | No |
| 17660565 | DEVICE AND PROCESSOR FOR IMPLEMENTING RESOURCE INDEX REPLACEMENT | April 2022 | April 2023 | Allow | 12 | 0 | 0 | No | No |
| 17767815 | METHODS, APPARATUS AND SYSTEMS FOR DECOMPOSING MOBILE APPLICATIONS INTO MICRO-SERVICES (MSs) AT RUNTIME FOR DISTRIBUTED EXECUTION | April 2022 | May 2025 | Allow | 37 | 1 | 0 | No | No |
| 17710816 | NEED-BASED RESOURCE SYNCHRONIZATION IN MULTI-NODE DATA PIPELINES AND SAMPLING METRICS OF A DATA PIPELINE | March 2022 | June 2025 | Abandon | 38 | 1 | 0 | No | No |
| 17708609 | CENTRAL RANDOMIZED SCHEDULER FOR HYPOTHESIS-BASED WORKLOADS | March 2022 | July 2025 | Allow | 40 | 1 | 0 | Yes | No |
| 17698811 | LIVE MOUNTING A VIRTUAL MACHINE IN A PUBLIC CLOUD BASED ON ACCESSING A SIMULATED VIRTUAL DISK AS AN INTERNET SMALL COMPUTER SYSTEMS INTERFACE (ISCSI) TARGET | March 2022 | December 2024 | Allow | 33 | 0 | 0 | No | No |
| 17651186 | SELECTING BEST CLOUD COMPUTING ENVIRONMENT IN A HYBRID CLOUD SCENARIO | February 2022 | June 2025 | Allow | 40 | 1 | 0 | Yes | No |
| 17591965 | MULTI -TENANT ACTOR SYSTEMS WITH WEB ASSEMBLY | February 2022 | July 2023 | Allow | 17 | 1 | 0 | No | No |
| 17576878 | DYNAMIC MODELER | January 2022 | May 2023 | Allow | 16 | 0 | 0 | No | No |
| 17570692 | SYSTEM AND METHOD OF OPTIMIZING VM DISK DATA TRANSFER TIME FOR COLD MIGRATION BY PRELOADING PAGE-CACHE | January 2022 | May 2025 | Abandon | 40 | 1 | 0 | No | No |
| 17566443 | MANAGEMENT AND ORCHESTRATION IN A HYBRID APPLICATIONS ENVIRONMENT | December 2021 | March 2025 | Allow | 39 | 1 | 0 | Yes | No |
| 17562291 | GENERATION OF CLOUD-BASED ACTIONABLE PROCESSES | December 2021 | September 2025 | Allow | 45 | 3 | 0 | No | No |
| 17556567 | DYNAMIC SAFETY AWARENESS TASK DISTRIBUTION | December 2021 | April 2025 | Allow | 39 | 1 | 0 | No | No |
| 17547956 | System and Method for Promoting Reader Groups for Lock Cohorting | December 2021 | May 2023 | Allow | 17 | 1 | 0 | No | No |
| 17545332 | KNOWLEDGE BASE FOR PREDICTING SUCCESS OF CLUSTER SCALING | December 2021 | August 2024 | Allow | 33 | 1 | 0 | No | No |
| 17535745 | TWO-LEVEL PARALLELIZTION OF GOODNESS-OF-FIT TESTS FOR SPATIAL PROCESS MODELS | November 2021 | April 2022 | Allow | 5 | 0 | 0 | Yes | No |
| 17535429 | DATA MOBILITY FOR IMMOBILE STORAGE SERVICES | November 2021 | April 2023 | Allow | 16 | 0 | 0 | No | No |
| 17529546 | CLOUD EDGE DEVICE VIRTUALIZATION | November 2021 | February 2025 | Allow | 39 | 1 | 0 | No | No |
| 17521381 | VIRTUAL INFRASTRUCTURE MANAGER ENHANCEMENTS FOR REMOTE EDGE CLOUD DEPLOYMENTS | November 2021 | March 2023 | Allow | 16 | 1 | 0 | Yes | No |
| 17453064 | ELECTRONIC CONTROL OF FLUID OPERATIONS FOR MACHINES | November 2021 | February 2024 | Allow | 28 | 4 | 0 | No | No |
| 17510012 | NETWORK-BASED SIGNALING TO CONTROL VIRTUAL MACHINE PLACEMENT | October 2021 | November 2024 | Allow | 37 | 2 | 0 | No | No |
| 17509951 | METHODS AND APPARATUS FOR MEMORY ALLOCATION AND REALLOCATION IN NETWORKING STACK INFRASTRUCTURES | October 2021 | January 2025 | Allow | 39 | 1 | 0 | No | No |
| 17451747 | DISTRIBUTED MEDICAL SOFTWARE PLATFORM | October 2021 | April 2025 | Allow | 41 | 1 | 0 | Yes | No |
| 17505415 | System and Method for Auto-Clustering of Clusterable Services | October 2021 | June 2025 | Allow | 44 | 2 | 0 | No | No |
| 17450313 | Method for Balancing a Transfer Function of a Reservoir Controller | October 2021 | November 2024 | Allow | 37 | 3 | 0 | No | No |
| 17449639 | COLLOCATED VIRTUAL MACHINE INSTANCES IN AN ON-DEMAND NETWORK CODE EXECUTION SYSTEM | September 2021 | September 2024 | Allow | 35 | 0 | 0 | No | No |
| 17490817 | INFRASTRUCTURE CREATION BASED ON APPLICATION CODE | September 2021 | January 2025 | Allow | 40 | 1 | 0 | Yes | No |
| 17449636 | CHAINED TASKS FOR EXECUTION IN AN ON-DEMAND NETWORK CODE EXECUTION SYSTEM | September 2021 | September 2024 | Allow | 35 | 0 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner WU, QING YUAN.
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, 33.3% 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 WU, QING YUAN works in Art Unit 2199 and has examined 647 patent applications in our dataset. With an allowance rate of 92.7%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 29 months.
Examiner WU, QING YUAN's allowance rate of 92.7% places them in the 79% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by WU, QING YUAN receive 1.36 office actions before reaching final disposition. This places the examiner in the 20% percentile for office actions issued. This examiner issues significantly fewer office actions than most examiners.
The median time to disposition (half-life) for applications examined by WU, QING YUAN is 29 months. This places the examiner in the 63% percentile for prosecution speed. Prosecution timelines are slightly faster than average with this examiner.
Conducting an examiner interview provides a +7.0% benefit to allowance rate for applications examined by WU, QING YUAN. This interview benefit is in the 35% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.
When applicants file an RCE with this examiner, 38.2% of applications are subsequently allowed. This success rate is in the 87% 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 54.1% of cases where such amendments are filed. This entry rate is in the 80% percentile among all examiners. Strategic Recommendation: This examiner is highly receptive to after-final amendments compared to other examiners. Per MPEP § 714.12, after-final amendments may be entered "under justifiable circumstances." Consider filing after-final amendments with a clear showing of allowability rather than immediately filing an RCE, as this examiner frequently enters such amendments.
When applicants request a pre-appeal conference (PAC) with this examiner, 22.2% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 28% percentile among all examiners. Note: Pre-appeal conferences show below-average success with this examiner. Consider whether your arguments are strong enough to warrant a PAC request.
This examiner withdraws rejections or reopens prosecution in 47.8% of appeals filed. This is in the 13% percentile among all examiners. Of these withdrawals, 27.3% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner rarely withdraws rejections during the appeal process compared to other examiners. If you file an appeal, be prepared to fully prosecute it to a PTAB decision. Per MPEP § 1207, the examiner will prepare an Examiner's Answer maintaining the rejections.
When applicants file petitions regarding this examiner's actions, 43.6% are granted (fully or in part). This grant rate is in the 36% 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 0.3% of allowed cases (in the 56% 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 2.0% of allowed cases (in the 68% percentile). This examiner issues Quayle actions more often than average when claims are allowable but formal matters remain (MPEP § 714.14).
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.