Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19048513 | DYNAMICALLY COMPOSABLE DATA-IN-PLACE SYSTEM | February 2025 | April 2025 | Allow | 2 | 0 | 0 | No | No |
| 18988734 | Machine Learning Technique for Efficiently Scheduling Tasks for Large-Scale Analysis of Binary Executables | December 2024 | April 2025 | Allow | 4 | 1 | 0 | Yes | No |
| 18987197 | SYSTEMS AND METHODS TO FACILITATE ADAPTIVE RESOURCE CAPACITY PREDICTION AND CONTROL USING CLOUD INFRASTRUCTURES WITH A CAPACITY PREDICTION INTERFACE | December 2024 | June 2025 | Allow | 6 | 1 | 0 | Yes | No |
| 18905078 | Machine Learning Technique for Efficiently Scheduling Tasks for Large-Scale Analysis of Binary Executables | October 2024 | December 2024 | Allow | 2 | 0 | 0 | No | No |
| 18785993 | SYSTEMS AND METHODS TO FACILITATE ADAPTIVE RESOURCE CAPACITY PREDICTION AND CONTROL USING CLOUD INFRASTRUCTURES WITH A CAPACITY PREDICTION INTERFACE | July 2024 | December 2024 | Allow | 5 | 1 | 0 | Yes | No |
| 18739658 | SYSTEM AND METHOD FOR OBSERVING AND PREDICTING DATA BATCH ACTIVITY IN REAL TIME | June 2024 | September 2024 | Allow | 3 | 1 | 0 | No | No |
| 18677805 | METHOD, AN APPARATUS, AN ELECTRONIC DEVICE, AND A STORAGE MEDIUM FOR DETECTING VIRTUAL MACHINE LOAD | May 2024 | August 2024 | Allow | 2 | 0 | 0 | No | No |
| 18667804 | MANAGING PROXY VIRTUAL MACHINES | May 2024 | July 2025 | Allow | 14 | 1 | 0 | No | No |
| 18584281 | VIRTUAL SERVER AGENT LOAD BALANCING | February 2024 | January 2025 | Allow | 11 | 1 | 0 | No | No |
| 18437039 | TECHNIQUES FOR DISTRIBUTED COMPUTING AND STORAGE | February 2024 | July 2024 | Allow | 6 | 1 | 0 | No | No |
| 18417445 | METHOD AND APPARATUS FOR MANAGING THREADS IN MANYCORE | January 2024 | July 2024 | Allow | 6 | 1 | 0 | No | No |
| 18402659 | COMPLEX COMPUTING NETWORK FOR CONTROLLING COMPUTING OPERATIONS BASED ON A COMPUTING LOAD | January 2024 | May 2024 | Allow | 4 | 0 | 0 | No | No |
| 18395473 | TRANSACTION SCHEDULING FOR A USER DATA CACHE BY ASSESSING UPDATE CRITERIA | December 2023 | March 2025 | Allow | 14 | 1 | 0 | No | No |
| 18525748 | Managing Resources of a System Based on Hardware Transactional Memory | November 2023 | February 2025 | Allow | 14 | 1 | 0 | No | No |
| 18498999 | METHODS AND SYSTEMS FOR IDENTIFYING CONTROL FLOW PATTERNS IN SOFTWARE CODE TO DETECT SOFTWARE ANOMALIES | October 2023 | May 2024 | Allow | 6 | 1 | 0 | No | No |
| 18492355 | Event processing in a distributed computing environment | October 2023 | October 2024 | Allow | 12 | 0 | 0 | No | No |
| 18239977 | CRYPTOMINING HEAT MANAGEMENT | August 2023 | May 2024 | Allow | 8 | 1 | 0 | No | No |
| 18362721 | DYNAMIC SELECTION OF WHERE TO EXECUTE APPLICATION CODE IN A DISTRIBUTED CLOUD COMPUTING NETWORK | July 2023 | January 2025 | Allow | 18 | 2 | 0 | No | No |
| 18224993 | SYSTEMS AND METHODS FOR MODELING LIVE EVENTS | July 2023 | September 2024 | Allow | 14 | 2 | 0 | Yes | No |
| 18345993 | ORCHESTRATING SELF-TUNING FOR CLOUD STORAGE | June 2023 | March 2025 | Allow | 20 | 2 | 0 | No | No |
| 18340335 | TECHNIQUES FOR DETECTING DRIFT IN A DEPLOYMENT ORCHESTRATOR | June 2023 | July 2024 | Allow | 13 | 0 | 0 | No | No |
| 18207664 | Managing Resources of a System Based on Hardware Transactional Memory | June 2023 | August 2023 | Allow | 3 | 0 | 0 | No | No |
| 18317827 | Techniques for Concurrently Supporting Virtual NUMA and CPU/Memory Hot-Add in a Virtual Machine | May 2023 | March 2024 | Allow | 10 | 0 | 0 | No | No |
| 18143048 | CIRCUIT AND METHOD OF HANDLING LOAD BALANCE | May 2023 | September 2025 | Allow | 28 | 0 | 0 | No | No |
| 18184964 | SINGLE-CLICK EJECTION OF PERIPHERAL DEVICES ASSOCIATED WITH VIRTUAL MACHINES | March 2023 | April 2024 | Allow | 13 | 1 | 0 | No | No |
| 18169392 | MANAGING WORKLOADS IN A CONTAINER ORCHESTRATION SYSTEM | February 2023 | August 2025 | Allow | 30 | 0 | 0 | No | No |
| 18166400 | DYNAMIC SELECTION OF WHERE TO EXECUTE APPLICATION CODE IN A DISTRIBUTED CLOUD COMPUTING NETWORK | February 2023 | April 2023 | Allow | 2 | 0 | 0 | No | No |
| 18103087 | HARDWARE ACCELERATOR FOR COMPUTING AN ALGEBRAIC FUNCTION | January 2023 | July 2025 | Allow | 29 | 0 | 0 | No | No |
| 18095201 | System for Transparent Provisioning of Functionally Identical Resources across Diverse Hosting and Cloud Platforms | January 2023 | June 2025 | Allow | 29 | 0 | 0 | No | No |
| 18152533 | RESOURCE-CAPABILITY-AND-CONNECTIVITY-BASED WORKLOAD PERFORMANCE IMPROVEMENT SYSTEM | January 2023 | July 2025 | Allow | 30 | 0 | 0 | No | No |
| 18087104 | System and Method for User Interactive Pipelining of a Computing Application | December 2022 | June 2025 | Allow | 30 | 0 | 0 | No | No |
| 18067364 | SYSTEMS AND METHODS FOR MODELING LIVE EVENTS | December 2022 | April 2023 | Allow | 4 | 0 | 0 | No | No |
| 18071692 | Offloading execution of a multi-task parameter-dependent operation to a network device | November 2022 | November 2023 | Allow | 11 | 1 | 0 | No | No |
| 18070443 | BASELINE MONITORING METHOD AND APPARATUS, READABLE MEDIUM, AND ELECTRONIC DEVICE | November 2022 | August 2023 | Allow | 19 | 2 | 0 | Yes | No |
| 18052684 | Systems and Methods to Leverage Unused Compute Resource for Machine Learning Tasks | November 2022 | January 2025 | Allow | 26 | 3 | 0 | No | No |
| 18052329 | Resource Management Unit for Capturing Operating System Configuration States and Offloading Tasks | November 2022 | May 2023 | Allow | 7 | 0 | 0 | No | No |
| 17968748 | EDGE-CASE RESOLUTION IN ARTIFICIAL INTELLIGENCE SYSTEMS | October 2022 | July 2025 | Allow | 32 | 1 | 0 | No | No |
| 17957655 | SYSTEM AND METHOD FOR DETERMINING CRITICAL SEQUENCES OF ACTIONS CAUSING PREDETERMINED EVENTS DURING APPLICATION OPERATIONS | September 2022 | April 2025 | Allow | 31 | 0 | 0 | No | No |
| 17957521 | REQUESTING POWER MANAGEMENT METRICS FOR A PARALLEL ACCELERATED PROCESSOR FOR A VIRTUAL FUNCTION | September 2022 | July 2025 | Allow | 33 | 1 | 0 | Yes | No |
| 17941958 | DISTRIBUTED SYSTEM FOR AUTONOMOUS DISCOVERY AND EXPLOITATION OF AN ORGANIZATION'S COMPUTING | September 2022 | August 2024 | Allow | 23 | 3 | 0 | No | No |
| 17940972 | VARIABLE AND EVENT REPORTING IN A CLOUD SERVICE SYSTEM | September 2022 | September 2023 | Allow | 12 | 0 | 0 | No | No |
| 17898642 | CUSTOMIZED ROOT PROCESSES FOR GROUPS OF APPLICATIONS | August 2022 | July 2024 | Allow | 22 | 3 | 0 | No | No |
| 17907785 | SERVICE PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM | August 2022 | May 2023 | Allow | 8 | 0 | 0 | No | No |
| 17818422 | DYNAMIC TOGGLE OF FEATURES FOR ENTERPRISE RESOURCES | August 2022 | May 2023 | Allow | 10 | 0 | 0 | No | No |
| 17879599 | IMPLEMENTING SERVERLESS FUNCTIONS USING CONTAINER ORCHESTRATION SYSTEMS AND OPERATIONAL TECHNOLOGY DEVICES | August 2022 | June 2023 | Allow | 10 | 0 | 0 | No | No |
| 17877844 | SCHEDULING METHOD, SCHEDULING APPARATUS AND STORAGE MEDIUM | July 2022 | July 2025 | Allow | 36 | 1 | 0 | No | No |
| 17874182 | TECHNIQUES FOR INTER-CLOUD FEDERATED LEARNING | July 2022 | July 2025 | Allow | 35 | 1 | 0 | No | No |
| 17813786 | System, Method, And Device for Ingesting Data into Remote Computing Environments | July 2022 | June 2025 | Allow | 35 | 1 | 0 | No | No |
| 17867368 | SEMI-AUTONOMOUS INTELLIGENT TASK HUB | July 2022 | July 2024 | Allow | 24 | 0 | 0 | No | No |
| 17813009 | AUTOMATED RECONFIGURATION OF REAL TIME DATA STREAM PROCESSING | July 2022 | July 2023 | Allow | 12 | 1 | 0 | No | No |
| 17863247 | DISTRIBUTION OF A WORKLOAD AMONG NODES OF A SYSTEM WITH A NUMA ARCHITECTURE | July 2022 | June 2025 | Allow | 35 | 1 | 0 | No | No |
| 17790667 | SCHEDULING METHOD AND DEVICE BASED ON DEEP LEARNING NODE COMPUTATION, AND STORAGE MEDIUM | July 2022 | April 2025 | Allow | 34 | 1 | 0 | No | No |
| 17809873 | CRASH RESILIENCE IN SHARED MEMORY PROCESSING SYSTEMS | June 2022 | April 2025 | Allow | 34 | 0 | 0 | No | No |
| 17843918 | MODELING CLOUD INEFFICIENCIES USING DOMAIN-SPECIFIC TEMPLATES | June 2022 | December 2024 | Allow | 30 | 0 | 0 | No | No |
| 17834378 | TECHNIQUES FOR DETECTING DRIFT IN A DEPLOYMENT ORCHESTRATOR | June 2022 | March 2023 | Allow | 9 | 0 | 0 | No | No |
| 17833476 | SUBTASK STORAGE FOR STREAMING CONVOLUTIONS IN NEURAL NETWORK PROCESSOR | June 2022 | May 2025 | Allow | 36 | 0 | 0 | No | No |
| 17746967 | METHOD FOR PROCESSING DATA USING COMPUTING ARRAY AND COMPUTING SYSTEM | May 2022 | February 2025 | Allow | 33 | 1 | 0 | No | No |
| 17746636 | RESPONDING TO APPLICATION DEMAND IN A SYSTEM THAT USES PROGRAMMABLE LOGIC COMPONENTS | May 2022 | October 2023 | Allow | 17 | 4 | 0 | Yes | No |
| 17743155 | SYSTEM FOR INTELLIGENT TYPE-BASED IMPLEMENTATION OF RESTRICTIONS ON RESOURCE TRANSFERS | May 2022 | March 2025 | Allow | 34 | 1 | 0 | No | No |
| 17726853 | INTELLIGENT LOAD SCHEDULING IN A STORAGE SYSTEM | April 2022 | April 2025 | Allow | 36 | 2 | 0 | No | No |
| 17721689 | CONFIGURATION TECHNIQUES FOR MANAGED VIRTUAL MACHINES | April 2022 | November 2023 | Allow | 19 | 1 | 0 | No | No |
| 17719677 | DEPLOYING VIRTUAL MACHINES TO A VIRTUALIZATION MANAGEMENT ENVIRONMENT USING AN AGENT TO OBTAIN REMOTE VIRTUAL MACHINE TEMPLATES | April 2022 | November 2024 | Allow | 31 | 0 | 0 | No | No |
| 17717859 | APPARATUS AND METHOD FOR DYNAMIC CONTROL OF MICROPROCESSOR CONFIGURATION | April 2022 | September 2023 | Allow | 17 | 1 | 0 | No | No |
| 17710371 | CONFIGURABLE TELEMETRY DATA PROCESSING VIA OBSERVABILITY PIPELINES | March 2022 | February 2025 | Allow | 34 | 1 | 0 | No | No |
| 17699385 | Computer-Implemented Method for Performing a System Assessment | March 2022 | September 2024 | Allow | 30 | 0 | 0 | No | No |
| 17642644 | SUBMISSION AND SYNCHRONIZATION TECHNIQUES FOR SCHEDULING AND LOAD BALANCING HARDWARE ACCELERATED TASKS ON HETEROGENEOUS PLATFORMS | March 2022 | February 2025 | Allow | 35 | 2 | 0 | Yes | No |
| 17654528 | Instant Submission Queue Release | March 2022 | February 2025 | Allow | 35 | 2 | 1 | Yes | No |
| 17691621 | Cooperative Group Arrays | March 2022 | February 2025 | Allow | 35 | 1 | 1 | No | No |
| 17687839 | VIRTUALIZED SYSTEM AND METHOD OF PREVENTING MEMORY CRASH OF SAME | March 2022 | November 2024 | Allow | 32 | 1 | 0 | Yes | No |
| 17684362 | Computer System Execution Environment Builder Tool | March 2022 | August 2024 | Allow | 30 | 0 | 0 | No | No |
| 17682323 | EDGE UTILITY SYSTEM WITH DISTRIBUTED LEDGER VERIFICATION FOR DYNAMIC AGGREGATION OF EDGE RESOURCES | February 2022 | January 2025 | Allow | 35 | 1 | 0 | No | No |
| 17681309 | CHAIN SCHEDULE MANAGEMENT FOR MACHINE LEARNING MODEL-BASED PROCESSING IN COMPUTING ENVIRONMENT | February 2022 | October 2024 | Allow | 31 | 1 | 0 | No | No |
| 17636366 | METHOD, APPARATUS AND DEVICE FOR PARALLEL EXECUTION OF SMART CONTRACT, AND MEDIUM | February 2022 | February 2025 | Allow | 36 | 1 | 0 | No | No |
| 17674442 | DISTRIBUTED EDGE COMPUTING PLATFORM FOR VEHICLES | February 2022 | June 2024 | Allow | 28 | 0 | 0 | No | No |
| 17650979 | CONTAINER SCHEDULING FOR EXECUTING DYNAMIC WORKLOADS IN CLOUD COMPUTING ENVIRONMENTS | February 2022 | March 2025 | Abandon | 37 | 1 | 0 | No | No |
| 17668959 | USING A NANOSERVICE TO INFORM AN EXTERNAL JOB SERVICE OF A JOB STATUS OF A MICROSERVICE | February 2022 | June 2025 | Allow | 40 | 1 | 0 | No | No |
| 17581946 | ON-DEMAND CLUSTERS IN CONTAINER COMPUTING ENVIRONMENT | January 2022 | May 2025 | Allow | 40 | 1 | 0 | No | No |
| 17576676 | TEST CONTROLLER SECURELY CONTROLLING A TEST PLATFORM TO RUN TEST APPLICATIONS | January 2022 | April 2023 | Allow | 15 | 1 | 0 | No | No |
| 17562994 | DEVICE VIRTUALIZATION SECURITY LAYER | December 2021 | June 2023 | Allow | 18 | 0 | 0 | No | No |
| 17560142 | TEAMING OF SMART NICS | December 2021 | October 2024 | Allow | 34 | 1 | 0 | No | No |
| 17556690 | DYNAMIC ROUTING OF WORKLOADS TO ACCELERATOR RESOURCES | December 2021 | August 2024 | Allow | 32 | 1 | 0 | No | No |
| 17527923 | Method and Device for Process Data Sharing | November 2021 | January 2025 | Allow | 38 | 2 | 0 | Yes | No |
| 17519395 | FPGA ACCELERATION FOR SERVERLESS COMPUTING | November 2021 | April 2023 | Allow | 17 | 3 | 0 | Yes | Yes |
| 17518069 | SHARING GLOBAL VARIABLES BETWEEN ADDRESSING MODE PROGRAMS | November 2021 | April 2025 | Allow | 42 | 1 | 0 | Yes | No |
| 17453233 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING SYSTEM, NON-TRANSITORY RECORDING MEDIUM, AND INFORMATION PROCESSING METHOD | November 2021 | December 2024 | Abandon | 37 | 1 | 0 | No | No |
| 17515031 | GEO-SPATIAL WORKLOAD SCHEDULING IN DISTRIBUTED SYSTEMS | October 2021 | April 2022 | Allow | 5 | 1 | 0 | Yes | No |
| 17513679 | EFFICIENT OPTIMIZATION FOR NEURAL NETWORK DEPLOYMENT AND EXECUTION | October 2021 | April 2024 | Allow | 30 | 0 | 0 | No | No |
| 17512002 | DYNAMIC GENERATION AND PRESENTATION OF LOAD RECORDS FOR LOAD ALLOCATION | October 2021 | July 2024 | Allow | 32 | 1 | 0 | Yes | No |
| 17606451 | APPLICATION CONTROL METHOD AND APPARATUS, TERMINAL, AND COMPUTER-READABLE STORAGE MEDIUM | October 2021 | August 2024 | Allow | 34 | 1 | 0 | No | No |
| 17509956 | Migrating Workloads Using Active Disaster Recovery | October 2021 | May 2024 | Allow | 31 | 1 | 0 | No | No |
| 17506368 | DIRECTED INTERRUPT VIRTUALIZATION WITH FALLBACK | October 2021 | August 2023 | Allow | 22 | 1 | 0 | No | No |
| 17605050 | VIRTUALIZATION PLATFORM CONTROL DEVICE, VIRTUALIZATION PLATFORM CONTROL METHOD, AND VIRTUALIZATION PLATFORM CONTROL PROGRAM | October 2021 | March 2024 | Allow | 29 | 0 | 0 | No | No |
| 17451481 | POST HOC IMAGE AND VOLUME REVIEW OF SHORT-LIVED LINUX CONTAINERS | October 2021 | May 2023 | Allow | 19 | 0 | 0 | No | No |
| 17503097 | TECHNOLOGIES FOR ANNOTATING PROCESS AND USER INFORMATION FOR NETWORK FLOWS | October 2021 | February 2023 | Allow | 16 | 4 | 0 | Yes | No |
| 17488019 | MANAGING PROXY VIRTUAL MACHINES | September 2021 | February 2024 | Allow | 29 | 0 | 0 | No | No |
| 17486056 | TASK EXECUTION METHOD AND ELECTRONIC DEVICE USING THE SAME | September 2021 | July 2024 | Allow | 34 | 1 | 0 | Yes | No |
| 17484947 | MEMORY ALLOCATION IN A RAY TRACING SYSTEM | September 2021 | August 2024 | Allow | 35 | 3 | 0 | No | No |
| 17478730 | PARTITIONING DATA ACROSS SHARED PERMISSIONED DATABASE STORAGE FOR MULTIPARTY DATA RECONCILIATION | September 2021 | August 2024 | Allow | 35 | 2 | 0 | Yes | No |
| 17478866 | WORKFLOW RUNTIME ENVIRONMENT WITH DISTRIBUTED CONTROL AND NETWORKED SERVICE INVOCATIONS HAVING SEPARATE LOGICAL AND PHYSICAL ENDPOINT IDENTIFIERS | September 2021 | February 2024 | Allow | 29 | 0 | 0 | No | No |
| 17473428 | PIPELINE PARALLEL COMPUTING USING EXTENDED MEMORY | September 2021 | August 2024 | Allow | 35 | 2 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner SUN, CHARLIE.
With a 0.0% reversal rate, the PTAB affirms the examiner's rejections in the vast majority of cases. This reversal rate is in the bottom 25% across the USPTO, indicating that appeals face significant challenges here.
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, 50.0% 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.
⚠ 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 SUN, CHARLIE works in Art Unit 2196 and has examined 487 patent applications in our dataset. With an allowance rate of 92.6%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 23 months.
Examiner SUN, CHARLIE's allowance rate of 92.6% 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 SUN, CHARLIE receive 1.31 office actions before reaching final disposition. This places the examiner in the 18% 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 SUN, CHARLIE is 23 months. This places the examiner in the 85% percentile for prosecution speed. Applications move through prosecution relatively quickly with this examiner.
Conducting an examiner interview provides a +6.1% benefit to allowance rate for applications examined by SUN, CHARLIE. This interview benefit is in the 33% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.
When applicants file an RCE with this examiner, 29.6% of applications are subsequently allowed. This success rate is in the 56% 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 32.0% of cases where such amendments are filed. This entry rate is in the 47% percentile among all examiners. Strategic Recommendation: This examiner shows below-average receptiveness to after-final amendments. You may need to file an RCE or appeal rather than relying on after-final amendment entry.
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 70.6% of appeals filed. This is in the 57% percentile among all examiners. Of these withdrawals, 50.0% 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, 19.0% are granted (fully or in part). This grant rate is in the 10% 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 0.2% of allowed cases (in the 53% 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 3.5% of allowed cases (in the 76% percentile). Per MPEP § 714.14, a Quayle action indicates that all claims are allowable but formal matters remain. This examiner frequently uses Quayle actions compared to other examiners, which is a positive indicator that once substantive issues are resolved, allowance follows quickly.
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.