Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18949736 | GENERAL PURPOSE COMMAND SYSTEM AND INTERFACE FOR A LIVE BROADCAST | November 2024 | May 2025 | Allow | 6 | 1 | 0 | Yes | No |
| 18740598 | SYSTEMS AND METHODS FOR PROCESSING DATA PROXIMATE TO THE POINT OF COLLECTION | June 2024 | April 2025 | Allow | 10 | 0 | 0 | Yes | No |
| 18661222 | SYSTEMS AND METHODS FOR ADDITIVE MANUFACTURING OPERATIONS | May 2024 | January 2025 | Allow | 8 | 0 | 0 | Yes | No |
| 18659242 | SYSTEMS AND METHODS FOR CHOOSING AN APPROPRIATE SCALING TECHNIQUE FOR ALLOCATING COMPUTATIONAL RESOURCES TO DISTRIBUTED APPLICATIONS | May 2024 | November 2024 | Allow | 7 | 0 | 0 | Yes | No |
| 18595719 | SCALABLE RECOVERY AND/OR MIGRATION TO CLOUD-BASED CUSTOM-MADE VIRTUAL MACHINES WITHOUT USING FAILED MACHINES' CREDENTIALS | March 2024 | October 2024 | Allow | 8 | 0 | 0 | Yes | No |
| 18431833 | PLACING VIRTUAL GRAPHICS PROCESSING UNIT (GPU)-CONFIGURED VIRTUAL MACHINES ON PHYSICAL GPUS SUPPORTING MULTIPLE VIRTUAL GPU PROFILES | February 2024 | November 2024 | Allow | 9 | 0 | 0 | Yes | No |
| 18542719 | ALLOCATING RESOURCES FOR NETWORK FUNCTION VIRTUALIZATION | December 2023 | August 2024 | Allow | 8 | 0 | 0 | Yes | No |
| 18535241 | ANALYTIC MODEL EXECUTION ENGINE WITH INSTRUMENTATION FOR GRANULAR PERFORMANCE ANALYSIS FOR METRICS AND DIAGNOSTICS FOR TROUBLESHOOTING | December 2023 | January 2025 | Allow | 13 | 0 | 0 | Yes | No |
| 18496442 | PRIVACY-PRESERVING DISTRIBUTED VISUAL DATA PROCESSING | October 2023 | April 2025 | Allow | 18 | 2 | 0 | Yes | No |
| 18382125 | METHODS FOR DYNAMIC THROTTLING TO SATISFY MINIMUM THROUGHPUT SERVICE LEVEL OBJECTIVES AND DEVICES THEREOF | October 2023 | June 2024 | Allow | 8 | 0 | 0 | Yes | No |
| 18476575 | DATA STRUCTURE USED TO AUTOMATE GENERATION OF BROADCAST SCHEDULES | September 2023 | October 2024 | Allow | 13 | 2 | 0 | Yes | No |
| 18457224 | SECURITY VULNERABILITY MITIGATION USING ADDRESS SPACE CO-EXECUTION | August 2023 | September 2024 | Allow | 13 | 2 | 0 | Yes | No |
| 18332393 | HIGH-SPEED SYNCHRONIZATION APPARATUS AND METHOD BASED ON BLOCKCHAIN UNIT FILE | June 2023 | January 2025 | Allow | 20 | 0 | 0 | Yes | No |
| 18136750 | SYSTEMS AND METHODS FOR ADDITIVE MANUFACTURING OPERATIONS | April 2023 | February 2024 | Allow | 10 | 0 | 0 | Yes | No |
| 18127824 | METHOD OF PROCESSING A NEURAL NETWORK MODEL | March 2023 | May 2024 | Allow | 13 | 2 | 0 | Yes | No |
| 18188444 | ALLOCATING RESOURCES FOR NETWORK FUNCTION VIRTUALIZATION | March 2023 | October 2023 | Allow | 7 | 0 | 0 | Yes | No |
| 18100135 | Computational Partition for a Multi-Threaded, Self-Scheduling Reconfigurable Computing Fabric | January 2023 | October 2023 | Allow | 9 | 0 | 0 | Yes | No |
| 18152227 | SYSTEM AND METHOD FOR DISTRIBUTED MANAGEMENT OF CONFIGURABLE HARDWARE TO SATISFY USER INTENT | January 2023 | June 2025 | Allow | 29 | 0 | 0 | Yes | No |
| 18151384 | EFFICIENT INTER-CHIP INTERCONNECT TOPOLOGY FOR DISTRIBUTED PARALLEL DEEP LEARNING | January 2023 | November 2023 | Allow | 10 | 0 | 0 | Yes | No |
| 18014855 | SERVER MAINTENANCE CONTROL DEVICE, SERVER MAINTENANCE SYSTEM, SERVER MAINTENANCE CONTROL METHOD, AND PROGRAM | January 2023 | June 2025 | Allow | 29 | 0 | 0 | Yes | No |
| 18013873 | A REST INTERFACE SPECIFICATION ENCAPSULATION SYSTEM BASED ON NETWORK SNIFFING | December 2022 | June 2025 | Allow | 29 | 0 | 0 | Yes | No |
| 18073075 | SYSTEMS AND METHODS FOR MANAGING INTERRUPT PRIORITY LEVELS | December 2022 | June 2025 | Allow | 30 | 0 | 0 | Yes | No |
| 18070168 | ANALYTIC MODEL EXECUTION ENGINE WITH INSTRUMENTATION FOR GRANULAR PERFORMANCE ANALYSIS FOR METRICS AND DIAGNOSTICS FOR TROUBLESHOOTING | November 2022 | September 2023 | Allow | 10 | 0 | 0 | Yes | No |
| 17988812 | Work scheduling | November 2022 | July 2025 | Allow | 31 | 0 | 0 | Yes | No |
| 18056423 | CLOUD MANAGEMENT OF CUSTOMER-CREATED APPLICATIONS | November 2022 | May 2025 | Allow | 30 | 0 | 0 | Yes | No |
| 17978885 | VIRTUAL MACHINE MANAGEMENT IN DATA CENTERS | November 2022 | June 2025 | Allow | 32 | 0 | 0 | Yes | No |
| 17918515 | Thread Management Method and Apparatus Based on Operating System Load | October 2022 | March 2025 | Allow | 29 | 0 | 0 | Yes | No |
| 17958400 | Collecting Diagnostic Information from a Failed Container | October 2022 | March 2025 | Allow | 30 | 0 | 0 | Yes | No |
| 17951031 | Systems and Methods for Balancing Loads Across Multiple Processing Cores of a Wireless Device | September 2022 | June 2025 | Abandon | 33 | 1 | 0 | No | No |
| 17934459 | SYMBOLIC STATE ESTIMATION FOR CONTACT-RICH MANIPULATION TASKS | September 2022 | April 2025 | Allow | 31 | 0 | 0 | Yes | No |
| 17947435 | MEMORY BARRIER ELISION FOR MULTI-THREADED WORKLOADS | September 2022 | January 2025 | Allow | 28 | 0 | 0 | Yes | No |
| 17945817 | DETECTION AND TRANSFER OF DEVICE CAPABILITIES BETWEEN DEVICES OF AN ECOSYSTEM OF DEVICES TO FACILITATE IMPROVEMENT OF A PERFORMANCE OF A DEFINED GROUP TASK OF THE ECOSYSTEM OF DEVICES | September 2022 | May 2025 | Allow | 32 | 0 | 0 | Yes | No |
| 17801203 | NEURAL PATHS FOR WORKLOAD EXECUTION | August 2022 | May 2025 | Allow | 33 | 0 | 0 | Yes | No |
| 17817880 | DYNAMIC SCHEDULING PLATFORM FOR AUTOMATED COMPUTING TASKS | August 2022 | April 2025 | Allow | 32 | 0 | 0 | Yes | No |
| 17871578 | DYNAMIC OPTIMIZATION OF BOT SCHEDULES | July 2022 | February 2025 | Allow | 31 | 0 | 0 | Yes | No |
| 17861795 | Compute Platform Optimization Over the Life of a Workload in a Distributed Computing Environment | July 2022 | July 2024 | Allow | 24 | 2 | 0 | Yes | No |
| 17857114 | WIRELESS COMMUNICATION NETWORK RESOURCE ALLOCATION METHOD WITH DYNAMIC ADJUSTMENT ON DEMAND | July 2022 | February 2025 | Allow | 32 | 0 | 0 | Yes | No |
| 17850378 | PRIORITY-BASED LOAD SHEDDING FOR COMPUTING SYSTEMS | June 2022 | February 2025 | Allow | 32 | 0 | 0 | Yes | No |
| 17836927 | RESOURCE ALLOCATION IN VIRTUALIZED ENVIRONMENTS | June 2022 | April 2025 | Allow | 35 | 1 | 0 | Yes | No |
| 17804860 | SWITCHING BETWEEN POLLING-MODE AND INTERRUPTION-DRIVEN MODES WITHOUT LOSS OF I/O REPLIES | June 2022 | March 2025 | Allow | 34 | 0 | 0 | Yes | No |
| 17743546 | METHOD AND SYSTEM FOR AUTOMATED REFACTORING OF MAINFRAME BASED BATCH SYSTEMS TO CLOUD NATIVE ENVIRONMENT | May 2022 | December 2024 | Allow | 31 | 0 | 0 | Yes | No |
| 17742568 | TASK SCHEDULING BASED ON TASK TYPE USE LEVELS AND PRIORITY LEVELS | May 2022 | February 2025 | Allow | 33 | 1 | 0 | Yes | No |
| 17726165 | CONTEXT-DRIVEN FRAMEWORK TO MIGRATE THE APPLICATIONS AND ITS DEPENDENCIES BY ANALYZING THE RELATIONSHIPS | April 2022 | March 2025 | Allow | 35 | 1 | 0 | Yes | No |
| 17715569 | METHODS FOR DYNAMIC THROTTLING TO SATISFY MINIMUM THROUGHPUT SERVICE LEVEL OBJECTIVES AND DEVICES THEREOF | April 2022 | August 2023 | Allow | 16 | 0 | 0 | Yes | No |
| 17710357 | PROGRAMMABLE HARDWARE PROXY FOR ASSESSMENT OF CONTROL LOGIC | March 2022 | October 2024 | Allow | 31 | 0 | 0 | Yes | No |
| 17657017 | DYNAMIC FACTORING AND COMPOSING WORKFLOWS | March 2022 | February 2025 | Allow | 34 | 1 | 0 | Yes | No |
| 17704651 | VIRTUAL NETWORKING FOR SPECIAL TYPES OF NESTED VIRTUAL MACHINES | March 2022 | October 2024 | Allow | 31 | 0 | 0 | Yes | No |
| 17576884 | TASK ALLOCATION ACROSS PROCESSING UNITS OF A DISTRIBUTED SYSTEM | January 2022 | February 2025 | Allow | 37 | 1 | 0 | Yes | No |
| 17647689 | System and Method for Managing Size of Clusters in a Computing Environment | January 2022 | June 2025 | Allow | 41 | 2 | 0 | Yes | Yes |
| 17573481 | TECHNIQUES FOR DEPLOYING CHANGES TO IMPROVE RELIABILITY OF A CLOUD SERVICE | January 2022 | October 2024 | Allow | 34 | 1 | 0 | Yes | No |
| 17570659 | COGNITIVE ALLOCATION OF SPECIALIZED HARDWARE RESOURCES | January 2022 | March 2025 | Allow | 38 | 0 | 0 | Yes | No |
| 17566533 | System and method of path execution optimization | December 2021 | February 2025 | Allow | 38 | 1 | 0 | Yes | No |
| 17565406 | Error Avoidance Load Balancing Across Distributed Clustered Containerized Environments | December 2021 | December 2024 | Allow | 36 | 1 | 0 | Yes | No |
| 17563881 | LEARNING AND USING PROGRAMMING STYLES | December 2021 | May 2023 | Allow | 16 | 0 | 0 | Yes | No |
| 17646137 | CLOUD-NATIVE APPLICATION RESERVATION MANAGEMENT METHOD AND APPARATUS | December 2021 | December 2023 | Allow | 24 | 1 | 0 | Yes | No |
| 17645696 | Prediction Model for Determining Decision Thresholds | December 2021 | December 2024 | Allow | 35 | 1 | 0 | Yes | No |
| 17643756 | DATA MIGRATION WITH METADATA | December 2021 | September 2024 | Allow | 33 | 1 | 0 | Yes | No |
| 17547944 | PERFORMING WORKLOAD MIGRATION IN A VIRTUALIZED SYSTEM BASED ON PREDICTED RESOURCE DISTRIBUTION | December 2021 | November 2024 | Allow | 36 | 2 | 0 | Yes | No |
| 17643572 | CONFIGURABLE ADDRESS DECODER | December 2021 | October 2024 | Allow | 35 | 1 | 0 | Yes | No |
| 17643283 | CONTROL DEVICE FOR CONTROLLING MULTIPLE APPLICATIONS BASED ON PRIORITY-BASED MESSAGE ENCRYPTION ARBITRATION | December 2021 | August 2024 | Allow | 32 | 1 | 0 | Yes | No |
| 17643276 | SYSTEM AND METHOD FOR AUTOMATED ONBOARDING | December 2021 | August 2024 | Allow | 32 | 1 | 0 | Yes | No |
| 17643265 | VEHICULAR CONTROL DEVICE, VEHICULAR DISPLAY SYSTEM, AND VEHICULAR DISPLAY CONTROL METHOD | December 2021 | July 2024 | Allow | 31 | 1 | 0 | Yes | No |
| 17616153 | DIGITAL TWIN COMPUTING APPARATUS, DIGITAL TWIN COMPUTING METHOD, PROGRAM AND DATA STRUCTURE | December 2021 | August 2024 | Allow | 33 | 1 | 0 | Yes | No |
| 17455583 | ACCELERATOR TRUSTWORTHINESS | November 2021 | October 2024 | Allow | 34 | 1 | 0 | Yes | No |
| 17519058 | CASCADED PRIORITY MAPPING | November 2021 | January 2025 | Allow | 38 | 2 | 0 | Yes | No |
| 17608698 | DISTRIBUTED AND ASSOCIATIVE CONTAINER PLATFORM SYSTEM | November 2021 | March 2024 | Allow | 28 | 0 | 0 | Yes | No |
| 17453341 | VARYING FIRMWARE FOR VIRTUALIZED DEVICE | November 2021 | August 2024 | Allow | 33 | 3 | 0 | Yes | No |
| 17452869 | THREAD SCHEDULING INCLUDING PREEMPTION OF A THREAD IN A KERNEL PERSONA | October 2021 | September 2024 | Allow | 34 | 1 | 0 | Yes | No |
| 17499239 | SCENE ENTITY PROCESSING USING FLATTENED LIST OF SUB-ITEMS IN COMPUTER GAME | October 2021 | September 2024 | Allow | 36 | 2 | 0 | Yes | No |
| 17498592 | METHOD FOR REPOINTING RESOURCES BETWEEN HOSTS | October 2021 | October 2023 | Allow | 24 | 0 | 0 | Yes | No |
| 17494699 | AUTOMATED METHODS AND SYSTEMS THAT PROVIDE RESOURCE RECOMMENDATIONS FOR VIRTUAL MACHINES | October 2021 | January 2025 | Allow | 39 | 2 | 0 | Yes | No |
| 17489999 | AUTOMATIC SELECTION OF NODES ON WHICH TO PERFORM TASKS | September 2021 | July 2024 | Allow | 33 | 1 | 0 | Yes | No |
| 17488309 | TASK EXECUTION SYSTEM FOR AUTONOMOUS ROBOT | September 2021 | May 2024 | Allow | 32 | 1 | 0 | Yes | No |
| 17487609 | SOFTWARE DEFINED PROCESS CONTROL SYSTEM AND METHODS FOR INDUSTRIAL PROCESS PLANTS | September 2021 | January 2024 | Allow | 28 | 0 | 0 | Yes | No |
| 17485579 | METHOD AND SYSTEM FOR DEPLOYING A PRODUCTION SYSTEM IN A VIRTUALIZED ENVIRONMENT | September 2021 | May 2024 | Allow | 32 | 1 | 0 | Yes | No |
| 17485662 | GARBAGE COLLECTING WAVEFRONT | September 2021 | February 2025 | Allow | 40 | 2 | 0 | Yes | No |
| 17482125 | Processing system, inter-processor communication method, and shared resource management method | September 2021 | November 2024 | Allow | 38 | 2 | 0 | Yes | No |
| 17480189 | ARITHMETIC OPERATION METHOD AND ARITHMETIC OPERATION INSTRUCTION SYSTEM | September 2021 | July 2024 | Allow | 34 | 1 | 0 | Yes | No |
| 17447663 | INCREMENTAL SNAPSHOTS OF STATE INFORMATION IN AN ON-DEMAND NETWORK CODE EXECUTION SYSTEM | September 2021 | January 2025 | Allow | 41 | 2 | 0 | Yes | No |
| 17468691 | CLOUD SERVICE SYSTEM AND OPERATION METHOD THEREOF FOR PROVIDING COMPUTING RESOURCES FOR TASK EXECUTION | September 2021 | July 2024 | Allow | 35 | 2 | 0 | Yes | No |
| 17437049 | INTERNET VIRTUAL DATA CENTER SYSTEM UTILIZING DATA RESOURCE DISTRIBUTION MAP, AND METHOD FOR CONSTRUCTING | September 2021 | November 2024 | Abandon | 38 | 2 | 0 | No | No |
| 17468328 | Priority Inversion Mitigation Techniques | September 2021 | April 2024 | Allow | 31 | 1 | 0 | Yes | No |
| 17462710 | AUTOMATED CAUSAL ANALYSIS OF ISSUES AFFECTING WORKLOADS EXECUTING IN AN INFORMATION TECHNOLOGY INFRASTRUCTURE | August 2021 | April 2024 | Allow | 32 | 1 | 0 | Yes | No |
| 17460886 | INACCESSIBLE PREFIX PAGES DURING VIRTUAL MACHINE EXECUTION | August 2021 | May 2024 | Allow | 32 | 1 | 0 | Yes | No |
| 17459705 | FUNCTION-BASED SERVICE FRAMEWORK WITH TRUSTED EXECUTION PLATFORM | August 2021 | April 2024 | Allow | 32 | 1 | 0 | Yes | No |
| 17406524 | UV, SOUND POINT, iA OPERATING SYSTEM | August 2021 | September 2024 | Abandon | 37 | 1 | 0 | No | No |
| 17403921 | INFORMATION PROCESSING APPARATUS AND JOB SCHEDULING METHOD | August 2021 | July 2024 | Abandon | 35 | 1 | 0 | No | No |
| 17404408 | Wi-Fi Virtualization | August 2021 | September 2024 | Allow | 37 | 2 | 0 | No | No |
| 17401509 | DATA PROCESSING METHOD AND CORRESPONDING APPARATUS BASED ON STATUS INFORMATION OF PROCESSORS | August 2021 | May 2024 | Allow | 34 | 2 | 0 | Yes | No |
| 17400385 | PREDICTIVE SCALING OF CONTAINER ORCHESTRATION PLATFORMS | August 2021 | October 2023 | Allow | 26 | 1 | 0 | Yes | No |
| 17395164 | INSTRUCTION INTERPRETATION FOR WEB TASK AUTOMATION | August 2021 | July 2024 | Allow | 35 | 1 | 0 | Yes | No |
| 17394105 | Thread Priority Management in a Multi-Threaded, Self-Scheduling Processor | August 2021 | August 2024 | Allow | 37 | 2 | 0 | Yes | No |
| 17391546 | AUTOMATED RESOURCE REQUEST MECHANISM FOR HETEROGENEOUS INFRASTRUCTURE USING PROFILING INFORMATION | August 2021 | April 2024 | Allow | 32 | 1 | 0 | Yes | No |
| 17427238 | SERVER INFRASTRUCTURE AND PHYSICAL CPU ALLOCATION PROGRAM | July 2021 | April 2024 | Allow | 32 | 1 | 0 | Yes | No |
| 17389204 | SCALABLE RECOVERY AND/OR MIGRATION TO CLOUD-BASED CUSTOM-MADE VIRTUAL MACHINES WITHOUT USING FAILED MACHINES' CREDENTIALS | July 2021 | December 2023 | Allow | 28 | 0 | 0 | Yes | No |
| 17388390 | ESTABLISHING PROCESS CONNECTIONS UTILIZING AN INTERMEDIARY BROKER | July 2021 | September 2024 | Allow | 38 | 3 | 0 | Yes | No |
| 17387273 | MIGRATION EVALUATION SYSTEM AND METHOD | July 2021 | July 2024 | Abandon | 36 | 1 | 0 | No | No |
| 17386818 | Cyber Life Electronic Networking and Commerce Operating Exchange | July 2021 | June 2023 | Allow | 22 | 0 | 0 | Yes | No |
| 17384462 | METHODS AND APPARATUS TO FACILITATE CONTENT GENERATION FOR CLOUD COMPUTING PLATFORMS | July 2021 | November 2024 | Abandon | 39 | 2 | 0 | No | No |
| 17384030 | OPTIMIZING VM NUMA CONFIGURATION AND WORKLOAD PLACEMENT IN A HETEROGENEOUS CLUSTER | July 2021 | May 2024 | Allow | 34 | 1 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner LEE, ADAM.
With a 10.0% 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, 37.5% 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 LEE, ADAM works in Art Unit 2193 and has examined 575 patent applications in our dataset. With an allowance rate of 90.1%, this examiner has an above-average tendency to allow applications. Applications typically reach final disposition in approximately 29 months.
Examiner LEE, ADAM's allowance rate of 90.1% places them in the 71% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.
On average, applications examined by LEE, ADAM receive 1.29 office actions before reaching final disposition. This places the examiner in the 25% 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 LEE, ADAM is 29 months. This places the examiner in the 45% percentile for prosecution speed. Prosecution timelines are slightly slower than average with this examiner.
Conducting an examiner interview provides a +57.6% benefit to allowance rate for applications examined by LEE, ADAM. This interview benefit is in the 97% 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, 34.8% of applications are subsequently allowed. This success rate is in the 72% 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 30.9% of cases where such amendments are filed. This entry rate is in the 37% 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, 0.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 6% percentile among all examiners. Note: Pre-appeal conferences show limited success with this examiner compared to others. While still worth considering, be prepared to proceed with a full appeal brief if the PAC does not result in favorable action.
This examiner withdraws rejections or reopens prosecution in 52.4% of appeals filed. This is in the 18% 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, 46.5% are granted (fully or in part). This grant rate is in the 53% percentile among all examiners. Strategic Note: Petitions show above-average success regarding this examiner's actions. Petitionable matters include restriction requirements (MPEP § 1002.02(c)(2)) and various procedural issues.
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 0.8% of allowed cases (in the 53% 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.