Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18989966 | SYSTEMS AND METHODS FOR ENERGY-INTELLIGENT COMPUTING POWER ORCHESTRATION | December 2024 | October 2025 | Allow | 10 | 2 | 0 | No | No |
| 18989893 | APPARATUS AND METHOD FOR RESOURCE GUIDANCE | December 2024 | June 2025 | Allow | 5 | 1 | 0 | No | No |
| 18871459 | RESOURCE ALLOCATION METHOD AND APPARATUS AND ARTIFICIAL INTELLIGENCE TRAINING SYSTEM | December 2024 | June 2025 | Allow | 6 | 1 | 0 | No | No |
| 18963034 | EVENT-BASED RESOURCE ALLOCATION SYSTEM | November 2024 | April 2025 | Allow | 5 | 1 | 0 | Yes | No |
| 18859208 | RESOURCE ALLOCATION METHOD AND APPARATUS FOR PERIPHERAL, SERVER, AND STORAGE MEDIUM | October 2024 | February 2025 | Allow | 3 | 0 | 0 | No | No |
| 18752865 | SYSTEM AND METHOD FOR MANAGING COMPUTERIZED NODES IN COMPUTER CLUSTER ENVIRONMENTS | June 2024 | November 2024 | Allow | 5 | 1 | 0 | No | No |
| 18749020 | METHOD OF RESOURCE ADJUSTMENT FOR SERVICE CLUSTER, ELECTRONIC DEVICE AND STORAGE MEDIUM | June 2024 | August 2024 | Allow | 2 | 0 | 0 | No | No |
| 18737810 | DATABASE-BASED DATA PROCESSING METHOD, DEVICE, MEDIUM AND ELECTRONIC APPARATUS | June 2024 | August 2024 | Allow | 2 | 0 | 0 | No | No |
| 18734363 | INTERACTIONS WITH A GENERATIVE RESPONSE ENGINE DURING A LONG RUNNING TASK | June 2024 | February 2025 | Allow | 9 | 2 | 0 | Yes | No |
| 18673115 | TECHNIQUES FOR BALANCING WORKLOADS WHEN PARALLELIZING MULTIPLY-ACCUMULATE COMPUTATIONS | May 2024 | November 2025 | Allow | 18 | 3 | 0 | No | No |
| 18671948 | SERVICE CREATION AND MANAGEMENT | May 2024 | October 2025 | Allow | 17 | 2 | 0 | No | No |
| 18656174 | SHELF LABEL COMMUNICATION METHOD BASED ON SYNCHRONOUS NETWORK, SHELF LABEL SYSTEM AND COMPUTER DEVICE | May 2024 | July 2024 | Allow | 2 | 0 | 0 | No | No |
| 18649616 | VIRTUAL MACHINE PROVISIONING AND DIRECTORY SERVICE MANAGEMENT | April 2024 | February 2025 | Allow | 10 | 1 | 0 | No | No |
| 18642668 | CLIENT-CONFIGURABLE RETENTION PERIODS FOR MACHINE LEARNING SERVICE-MANAGED RESOURCES | April 2024 | November 2024 | Allow | 7 | 0 | 0 | No | No |
| 18700181 | MEMORY MANAGEMENT METHOD FOR DEVICE, MEMORY MANAGEMENT DEVICE, AND COMPUTING SYSTEM | April 2024 | July 2024 | Allow | 4 | 0 | 0 | No | No |
| 18608244 | MEMORY ALLOCATION FOR 3-D GRAPHICS RENDERING | March 2024 | May 2025 | Allow | 14 | 2 | 0 | No | No |
| 18594526 | Autonomous Warehouse-Scale Computers | March 2024 | March 2025 | Allow | 12 | 2 | 0 | Yes | No |
| 18582373 | Virtual Non-Uniform Memory Access (NUMA) Locality Table for NUMA Systems | February 2024 | February 2025 | Allow | 12 | 1 | 0 | No | No |
| 18442603 | SYSTEM AND METHOD FOR MAINTAINING DEPENDENCIES IN A PARALLEL PROCESS | February 2024 | September 2024 | Allow | 7 | 0 | 0 | No | No |
| 18437392 | MEDICAL IMAGING DISTRIBUTION SYSTEM AND DEVICE | February 2024 | September 2024 | Allow | 8 | 0 | 0 | No | No |
| 18404715 | HARDWARE ACCELERATION FOR FUNCTION PROCESSING | January 2024 | August 2024 | Allow | 7 | 0 | 0 | No | No |
| 18404705 | HARDWARE ACCELERATION FOR FUNCTION PROCESSING | January 2024 | December 2024 | Allow | 12 | 1 | 1 | Yes | No |
| 18542227 | MULTI-REGION DEPLOYMENT OF JOBS IN A FEDERATED CLOUD INFRASTRUCTURE | December 2023 | February 2025 | Allow | 14 | 2 | 0 | No | No |
| 18517896 | Resource Manager Integration in Cloud Computing Environments | November 2023 | August 2024 | Allow | 9 | 1 | 0 | No | No |
| 18516072 | Hardware Accelerator Service Discovery | November 2023 | November 2024 | Allow | 12 | 2 | 0 | No | No |
| 18512465 | Optimizing Distributed and Parallelized Batch Data Processing | November 2023 | September 2024 | Allow | 10 | 1 | 0 | No | No |
| 18375312 | CONTROLLING VIRTUAL MACHINE PORTING ACTIVITY BASED ON DYNAMICALLY-CALCULATED VIRTUAL MACHINE PREDICATE VALUES IN MATCH EXPRESSIONS | September 2023 | March 2026 | Allow | 29 | 0 | 0 | No | No |
| 18214204 | SECURE DRIVE FOR COMPUTER SYSTEMS | June 2023 | November 2025 | Allow | 28 | 0 | 0 | No | No |
| 18205294 | STACKING STACK TECHNIQUE FOR OPERATING SYSTEM KERNELS TO SUPPORT PRIORITIZED AND PREMPTIBLE TASKLETS | June 2023 | March 2026 | Allow | 34 | 0 | 0 | No | No |
| 18204877 | RUNTIME TECHNIQUES FOR DETECTING ANTI-PATTERNS CAUSING PERFORMANCE ISSUES | June 2023 | September 2025 | Allow | 27 | 0 | 0 | No | No |
| 18038345 | Application Keep-Alive Method and Electronic Device | May 2023 | January 2026 | Allow | 31 | 1 | 0 | No | No |
| 18320646 | ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF | May 2023 | October 2024 | Allow | 17 | 3 | 0 | Yes | No |
| 18312397 | STATIC MEMORY ALLOCATION USING SAT SOLVER | May 2023 | November 2025 | Allow | 30 | 0 | 1 | No | No |
| 18141676 | SYSTEM, METHOD, AND UTILITY FOR SAP START/STOP AUTOMATION | May 2023 | January 2026 | Allow | 32 | 0 | 0 | No | No |
| 18309148 | FACILITATING SHARING OF A NAMESPACE OF AN EPHEMERAL STORAGE DEVICE BY MULTIPLE CONSUMERS OF A VIRTUAL STORAGE SYSTEM | April 2023 | August 2025 | Allow | 28 | 0 | 0 | No | No |
| 18308379 | OPTIMAL MULTI-INSTANCE GPU (MIG) AWARE PLACEMENT OF CLIENTS | April 2023 | February 2026 | Abandon | 34 | 1 | 0 | No | No |
| 18135233 | Real Time Optimization Apparatus for Dynamic Code Evolution using Quantum Machine Learning with Non-Fungible Tokens | April 2023 | August 2025 | Allow | 28 | 0 | 0 | No | No |
| 18296515 | PERFORMANCE-DRIVEN TIMEOUT | April 2023 | October 2025 | Allow | 30 | 0 | 0 | No | No |
| 18117670 | Systems and Methods for Increasing Request Processing Performance | March 2023 | November 2025 | Allow | 32 | 1 | 0 | Yes | No |
| 18114013 | SCALING A REST CLUSTER USING TASK PROCESSING LOGIC | February 2023 | October 2025 | Allow | 32 | 1 | 0 | No | No |
| 18173888 | Cluster-Wide Visible Work Coordination System Using System B-Trees | February 2023 | September 2025 | Allow | 30 | 0 | 0 | No | No |
| 18111211 | CLOUD ENVIRONMENT MIGRATION SYSTEM | February 2023 | January 2026 | Allow | 35 | 1 | 0 | No | No |
| 18110547 | COMPUTING PLATFORM FOR SIMULATING AN INDUSTRIAL SYSTEM AND METHOD OF MANAGING THE SIMULATION | February 2023 | June 2025 | Allow | 28 | 0 | 0 | No | No |
| 18105437 | DYNAMIC APPLICATION STORAGE ALLOCATION | February 2023 | February 2026 | Allow | 36 | 1 | 1 | Yes | No |
| 18103425 | VISUAL PLANNING AND ASSIGNMENT OF CLOUD-BASED COMPUTING RESOURCES | January 2023 | December 2025 | Allow | 35 | 2 | 0 | Yes | No |
| 18100812 | WORKLOAD PLACEMENT RESPONSIVE TO FAULT | January 2023 | June 2025 | Allow | 29 | 0 | 0 | No | No |
| 18157379 | Register Caching for Efficient Virtual Machine Introspection | January 2023 | October 2025 | Allow | 33 | 1 | 0 | Yes | No |
| 18156357 | COMPUTING DEVICE, OPERATION METHOD THEREOF, AND SYSTEM ON CHIP WITH DYNAMIC ARITHMETIC UNIT ALLOCATION BETWEEN DEEP LEARNING ACCELERATOR AND VECTOR PROCESSOR | January 2023 | September 2025 | Allow | 32 | 1 | 0 | No | No |
| 18094182 | CIRCUITRY FOR ROUTING AND DELAY CORRECTION IN A MULTI-FUNCTIONAL UNIT SYSTEM | January 2023 | December 2025 | Allow | 35 | 2 | 0 | No | No |
| 18087065 | PARTITIONING RESPONSIVE TO PROCESSORS HAVING A DISPARATE NUMBER OF CORES | December 2022 | December 2025 | Allow | 36 | 1 | 0 | No | No |
| 17928895 | INFORMATION PROCESSING METHOD AND APPARATUS FOR COMPUTER ANIMATION RESOURCE OF COMPUTER ANIMATION DEVELOPMENT PROJECT, DEVICE, MEDIUM AND PRODUCT | November 2022 | February 2026 | Allow | 38 | 1 | 0 | No | No |
| 18058470 | SYSTEM AND METHOD FOR DYNAMICALLY MODIFYING MEDIA PROCESSING FUNCTIONS TO CONTROL OPTIMIZATION OF A MEDIA PRODUCTION | November 2022 | July 2025 | Allow | 32 | 1 | 0 | No | No |
| 17983480 | RESOURCE CONTROL METHOD FOR FUNCTION COMPUTING, DEVICE, AND MEDIUM | November 2022 | December 2025 | Abandon | 37 | 1 | 0 | No | No |
| 18052890 | Compact NUMA-aware Locks | November 2022 | November 2024 | Allow | 24 | 0 | 0 | No | No |
| 17976969 | HARDWARE-ACCELERATED COROUTINES FOR LINKED DATA STRUCTURES | October 2022 | April 2025 | Allow | 30 | 0 | 0 | No | No |
| 17976588 | HANDOFF OF EXECUTING APPLICATION BETWEEN LOCAL AND CLOUD-BASED COMPUTING DEVICES | October 2022 | December 2025 | Allow | 38 | 1 | 1 | Yes | No |
| 18050166 | CONTAINER RESOURCE AUTOSCALING BY CONTROL PLANE | October 2022 | December 2025 | Allow | 37 | 1 | 0 | Yes | No |
| 18049125 | SERVERLESS COMPUTING USING RESOURCE MULTIPLEXING | October 2022 | October 2025 | Allow | 36 | 2 | 0 | Yes | No |
| 18045128 | VMID AS A GPU TASK CONTAINER FOR VIRTUALIZATION | October 2022 | July 2024 | Allow | 21 | 0 | 1 | No | No |
| 17954511 | Processor with Hardware Pipeline | September 2022 | July 2025 | Allow | 34 | 1 | 0 | No | No |
| 17954018 | ARTIFICIALLY INTELLIGENT SYSTEMS, DEVICES, AND METHODS FOR LEARNING AND/OR USING AN AVATAR'S CIRCUMSTANCES FOR AUTONOMOUS AVATAR OPERATION | September 2022 | April 2025 | Allow | 31 | 1 | 0 | Yes | No |
| 17935709 | DYNAMIC HETEROGENEOUS TASK PROCESSING | September 2022 | July 2025 | Allow | 34 | 0 | 0 | No | No |
| 17953269 | MANAGEMENT OF UNMAPPED ALLOCATION UNITS OF A MEMORY SUB-SYSTEM | September 2022 | July 2025 | Allow | 34 | 0 | 0 | No | No |
| 17914722 | CLOUD RESOURCES ALLOCATION OPTIMIZATION | September 2022 | February 2026 | Abandon | 41 | 2 | 0 | No | No |
| 17929117 | OPERATING A DISTRIBUTED WORKER POOL TO CONSERVE COMPUTING RESOURCES | September 2022 | September 2025 | Allow | 36 | 1 | 0 | No | No |
| 17897435 | INFORMATION INFRASTRUCTURE MANAGEMENT METHOD, MANAGEMENT SERVER, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM FOR MANAGING A COMPUTING MACHINE HAVING A COMPUTATIONAL RESOURCE FOR EXECUTING A WORKFLOW AND A STORAGE RESOURCE COMMUNICABLY COUPLED TO THE COMPUTING MACHINE | August 2022 | May 2025 | Allow | 33 | 0 | 0 | No | No |
| 17875786 | LCS SDXI RESOURCE OWNERSHIP SYSTEM | July 2022 | March 2025 | Allow | 31 | 0 | 0 | No | No |
| 17814890 | VEHICLE CONTROL MODULE ALLOCATION | July 2022 | June 2025 | Allow | 35 | 1 | 0 | Yes | No |
| 17867427 | CONSERVING COMPUTING RESOURCES FOR MACHINE LEARNING PIPELINES WITH A FEATURE SERVICE | July 2022 | January 2026 | Abandon | 42 | 1 | 0 | No | No |
| 17862979 | MEMORY DISAGGREGATION IN A MULTI-NODE ENVIRONMENT | July 2022 | June 2025 | Allow | 35 | 0 | 0 | No | No |
| 17854592 | Just-In-Time Re-Partitioning of Feature Maps for Efficient Balancing of Compute Core Workloads | June 2022 | March 2025 | Allow | 33 | 0 | 0 | No | No |
| 17855374 | MANAGING FAIRNESS OF RESOURCE SCHEDULING FOR PERFORMANCE BURSTING IN MULTI-TENANT ENVIRONMENTS | June 2022 | March 2025 | Allow | 33 | 0 | 0 | No | No |
| 17835834 | SYNCHRONIZED SYSTEM-ON-CHIP TELEMETRY AGGREGATION AND BUFFERING | June 2022 | August 2025 | Allow | 38 | 1 | 0 | No | No |
| 17782066 | A Multi-Tenant Real-Time Process Controller for Edge Cloud Environments | June 2022 | May 2025 | Allow | 36 | 2 | 1 | No | No |
| 17780427 | MANAGING PROVENANCE INFORMATION FOR DATA PROCESSING PIPELINES | May 2022 | June 2025 | Allow | 36 | 2 | 0 | No | No |
| 17752299 | Compute Platform Recommendations for New Workloads in a Distributed Computing Environment | May 2022 | January 2025 | Allow | 32 | 2 | 0 | Yes | No |
| 17752689 | SYSTEMS AND METHODS FOR AUTOSCALING IN DATACENTERS | May 2022 | February 2026 | Abandon | 45 | 3 | 0 | Yes | No |
| 17750717 | TRANSMITTING CONFIGURATION DATA BETWEEN CONTAINERS RUNNING ON DIFFERENT COMPUTER ARCHITECTURES VIA A SIDECAR CONTAINER | May 2022 | October 2024 | Allow | 29 | 0 | 0 | No | No |
| 17774742 | SERVER AND APPLICATION MONITORING | May 2022 | February 2026 | Allow | 45 | 3 | 0 | No | No |
| 17715530 | DATA PROCESSING USING A HETEROGENEOUS MEMORY POOL | April 2022 | April 2025 | Allow | 36 | 0 | 0 | No | No |
| 17765919 | MANAGEMENT METHOD FOR CDN FUNCTION VIRTUALIZATION, ELECTRONIC DEVICE, AND COMPUTER READABLE MEDIUM | April 2022 | February 2025 | Allow | 34 | 0 | 1 | No | No |
| 17710594 | ADAPTIVE COLLABORATIVE MEMORY WITH THE ASSISTANCE OF PROGRAMMABLE NETWORKING DEVICES | March 2022 | August 2025 | Allow | 41 | 1 | 0 | No | No |
| 17707895 | DEEP LEARNING FRAMEWORK SCHEDULING | March 2022 | July 2025 | Allow | 39 | 1 | 0 | No | No |
| 17656163 | PROGRAMMING ELEMENTS ONTO A COMPUTATIONAL MEMORY | March 2022 | July 2025 | Allow | 40 | 1 | 0 | Yes | No |
| 17699911 | MEMORY MANAGEMENT IN DATA PROCESSING SYSTEMS | March 2022 | March 2026 | Allow | 48 | 3 | 0 | Yes | No |
| 17697706 | Current Spike Mitigation Technique for Neural Networks | March 2022 | September 2025 | Allow | 42 | 1 | 1 | No | No |
| 17677588 | DISTRIBUTED AI PLATFORM MESH FOR MACHINE LEARNING WORKFLOWS | February 2022 | January 2025 | Allow | 35 | 1 | 0 | No | No |
| 17635772 | EXPLICIT SCHEDULING OF ON-CHIP OPERATIONS | February 2022 | July 2025 | Allow | 40 | 2 | 1 | Yes | No |
| 17591459 | Virtual Machine Hot Migration Method, Apparatus, Electronic Device, and Computer Storage Medium | February 2022 | December 2024 | Allow | 34 | 1 | 0 | No | No |
| 17577842 | QUANTUM COMPUTER SYSTEM SCHEDULING AND PARAMETERIZATION BASED ON ERROR CORRECTION HISTORY | January 2022 | December 2024 | Allow | 35 | 1 | 0 | Yes | No |
| 17647878 | SYSTEM AND METHOD FOR PROVIDING CONTINUOUS OPTIMIZATION WORKFLOW | January 2022 | August 2024 | Allow | 31 | 1 | 0 | Yes | No |
| 17568949 | ORCHESTRATION OF CONTAINERIZED MICROSERVICES | January 2022 | February 2026 | Allow | 49 | 2 | 0 | Yes | No |
| 17624252 | DIKW RESOURCE TRANSFER METHOD AND DEVICE FOR PURPOSE-ORIENTED CALCULATION AND INFERENCE | December 2021 | October 2024 | Allow | 33 | 1 | 0 | No | No |
| 17564474 | CACHE BLOCKING FOR DISPATCHES | December 2021 | August 2024 | Allow | 32 | 0 | 1 | No | No |
| 17564498 | IOT EDGE SCHEDULER MODULE AND SYSTEM | December 2021 | July 2024 | Allow | 31 | 1 | 0 | No | No |
| 17561433 | VIRTUALIZATION OF INTERPROCESSOR INTERRUPTS | December 2021 | November 2024 | Allow | 35 | 1 | 0 | No | No |
| 17560025 | METHODS AND APPARATUS TO CONDITIONALLY ACTIVATE A BIG CORE IN A COMPUTING SYSTEM | December 2021 | September 2024 | Allow | 33 | 0 | 0 | No | No |
| 17559848 | Adaptive service metering on ports in a link aggregation group | December 2021 | January 2025 | Allow | 37 | 2 | 0 | No | No |
| 17619335 | ASSIGNMENT CONTROL DEVICE, ASSIGNMENT CONTROL METHOD, AND ASSIGNMENT CONTROL PROGRAM | December 2021 | August 2024 | Allow | 32 | 1 | 0 | Yes | No |
| 17643741 | ON-DEMAND CLOUD ROBOTS FOR ROBOTIC PROCESS AUTOMATION | December 2021 | August 2024 | Allow | 32 | 1 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner KESSLER, GREGORY AARON.
With a 50.0% reversal rate, the PTAB reverses the examiner's rejections in a meaningful percentage of cases. This reversal rate is above the USPTO average, indicating that appeals have better success 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, 63.6% 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 show good success rates. If you have a strong case on the merits, consider fully prosecuting the appeal to a Board decision.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner KESSLER, GREGORY AARON works in Art Unit 2197 and has examined 158 patent applications in our dataset. With an allowance rate of 98.1%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 32 months.
Examiner KESSLER, GREGORY AARON's allowance rate of 98.1% places them in the 90% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by KESSLER, GREGORY AARON receive 1.70 office actions before reaching final disposition. This places the examiner in the 35% 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 KESSLER, GREGORY AARON is 32 months. This places the examiner in the 50% percentile for prosecution speed. Prosecution timelines are slightly faster than average with this examiner.
Conducting an examiner interview provides a -4.5% benefit to allowance rate for applications examined by KESSLER, GREGORY AARON. This interview benefit is in the 6% percentile among all examiners. Note: Interviews show limited statistical benefit with this examiner compared to others, though they may still be valuable for clarifying issues.
When applicants file an RCE with this examiner, 39.4% of applications are subsequently allowed. This success rate is in the 90% 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 37.7% of cases where such amendments are filed. This entry rate is in the 57% percentile among all examiners. Strategic Recommendation: This examiner shows above-average receptiveness to after-final amendments. If your amendments clearly overcome the rejections and do not raise new issues, consider filing after-final amendments before resorting to an RCE.
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 7% 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 81.8% of appeals filed. This is in the 75% percentile among all examiners. 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, 40.0% are granted (fully or in part). This grant rate is in the 29% 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 1.3% of allowed cases (in the 70% 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 2.6% of allowed cases (in the 71% 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.