Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18922360 | COMPLEX COMPUTING NETWORK FOR CONTROLLING COMPUTING OPERATIONS BASED ON A COMPUTING LOAD | October 2024 | July 2025 | Allow | 8 | 1 | 0 | No | No |
| 18603156 | Computer System with Reconfigurable Processors | March 2024 | January 2026 | Allow | 22 | 4 | 0 | No | No |
| 18423184 | RESPONDING TO APPLICATION DEMAND IN A SYSTEM THAT USES PROGRAMMABLE LOGIC COMPONENTS | January 2024 | August 2025 | Allow | 19 | 3 | 0 | No | No |
| 18457666 | METHOD AND APPARATUS FOR PROVIDING DATA CENTER FUNCTIONS FOR SUPPORT OF AN ELECTRIC VEHICLE BASED DATA CENTER | August 2023 | November 2025 | Allow | 27 | 2 | 0 | Yes | No |
| 18334845 | SYSTEMS AND METHODS FOR DYNAMIC ESTIMATION OF TIME-TO-COMPLETION | June 2023 | January 2026 | Allow | 31 | 0 | 0 | No | No |
| 18331349 | RESTORATION OF A STATE OF A GROUP OF PROCESSES | June 2023 | October 2025 | Allow | 28 | 0 | 0 | No | No |
| 18038170 | COMPUTATIONAL RESOURCE CLUSTER MANAGEMENT DEVICE, COMPUTATIONAL RESOURCE CLUSTER MANAGEMENT METHOD, AND COMPUTATIONAL RESOURCE CLUSTER MANAGEMENT PROGRAM | May 2023 | October 2025 | Allow | 29 | 0 | 0 | No | No |
| 18199517 | OPTIMIZED DYNAMIC LARGE SCALE AND LARGE DOCUMENT INGESTION FOR SEARCH ENGINES USING SERVICE MESH | May 2023 | October 2025 | Allow | 29 | 0 | 0 | No | No |
| 18309904 | DESIGN ASSISTANT FOR CLOUD ARCHITECTURES | May 2023 | January 2026 | Allow | 33 | 1 | 0 | Yes | No |
| 18309889 | Time series analysis for cloud resources | May 2023 | January 2026 | Allow | 33 | 1 | 0 | No | No |
| 18307443 | SYSTEM AND METHOD FOR WORKLOAD MANAGEMENT BETWEEN HARDWARE COMPONENTS | April 2023 | March 2026 | Allow | 34 | 2 | 0 | No | No |
| 18304077 | METHOD AND SYSTEM FOR MANAGING RESOURCE UTILIZATION OF APPLICATIONS | April 2023 | November 2025 | Allow | 31 | 1 | 0 | No | No |
| 18133632 | System for the Remote Execution of Applications | April 2023 | December 2025 | Allow | 32 | 1 | 0 | No | No |
| 18297007 | INSTANCE ALLOCATION METHOD, SYSTEM, AND APPARATUS | April 2023 | March 2026 | Allow | 35 | 1 | 0 | No | No |
| 18246157 | Edge Computing Method and System, Edge Device and Control Server Providing More Computing Resources for Edge Computing Applications | March 2023 | January 2026 | Allow | 34 | 0 | 1 | No | No |
| 18119234 | COMPILER-DIRECTED GRAPH-BASED COMMAND DISPATCH FOR ACCELERATORS | March 2023 | November 2025 | Allow | 32 | 1 | 0 | No | No |
| 18179536 | COMPUTER SYSTEM AND PLACEMENT PLAN PROPOSAL METHOD | March 2023 | August 2025 | Allow | 29 | 0 | 0 | No | No |
| 18171874 | CLOUD DISTRIBUTED DATABASE CAPACITY PLANNING AND ADJUSTMENT USING TIME-SERIES DATA ANALYSIS | February 2023 | November 2025 | Allow | 33 | 1 | 0 | No | No |
| 18020173 | Game Engine Resource Processing Method And Apparatus, And Electronic Device And Computer-Readable Storage Medium | February 2023 | March 2026 | Abandon | 37 | 1 | 0 | No | No |
| 18161679 | RESOURCE PROVISIONING | January 2023 | November 2025 | Allow | 34 | 1 | 0 | No | No |
| 18006934 | Computer System and Arithmetic Processing Method | January 2023 | February 2026 | Abandon | 37 | 1 | 0 | No | No |
| 18095280 | METHODS AND SYSTEMS FOR DYNAMIC ALLOCATION OF AGGREGATED RESOURCE TRANSFERS IN A DISTRIBUTED NETWORK | January 2023 | November 2025 | Allow | 34 | 1 | 0 | No | No |
| 18090790 | LIFE CYCLE MANAGEMENT FOR DEVICE INPUT/OUTPUT INTERFACES IN VIRTUALIZED ENVIRONMENTS | December 2022 | October 2025 | Allow | 34 | 1 | 0 | Yes | No |
| 18087205 | CONTAINER RUNTIME ENGINE, AND METHOD AND SYSTEM OF THE SAME | December 2022 | September 2025 | Allow | 33 | 1 | 0 | Yes | No |
| 18085899 | COMPUTING TASK DISPATCHING METHOD, TERMINAL ELECTRONIC DEVICE AND COMPUTING SYSTEM USING THE SAME | December 2022 | February 2026 | Abandon | 37 | 1 | 0 | No | No |
| 18083703 | LOOKAHEAD PRIORITY COLLECTION TO SUPPORT PRIORITY ELEVATION | December 2022 | June 2025 | Allow | 29 | 0 | 0 | No | No |
| 17992809 | AUTOMATED SYNCHRONIZATION OF NETWORK ADDRESSES ACROSS PUBLIC CLOUD ENVIRONMENTS | November 2022 | September 2025 | Allow | 34 | 1 | 0 | No | No |
| 17983816 | MANAGING STATE OF DISTRIBUTED CLOUD ENVIRONMENT IN PEER-TO-PEER NETWORK | November 2022 | November 2025 | Allow | 36 | 2 | 0 | Yes | No |
| 17980838 | PROVIDING DECISION INSTRUCTIONS FOR PROBLEM INCIDENTS | November 2022 | December 2025 | Allow | 37 | 1 | 1 | No | No |
| 17975302 | Docker-Based Plugins for Hyperconverged Infrastructure Platforms | October 2022 | November 2025 | Allow | 37 | 1 | 0 | No | No |
| 17970090 | SUSTAINABILITY MODES IN A COMPUTING ENVIRONMENT | October 2022 | August 2025 | Allow | 34 | 1 | 0 | No | No |
| 17968515 | METHOD AND APPARATUS HAVING A MEMORY MANAGER FOR NEURAL NETWORKS | October 2022 | November 2025 | Allow | 37 | 1 | 0 | No | No |
| 17967297 | DATA STORAGE | October 2022 | August 2025 | Allow | 34 | 1 | 0 | No | No |
| 17956325 | TRACING PROCESSES IN DISTRIBUTED CONTAINER SYSTEMS | September 2022 | September 2025 | Allow | 35 | 2 | 0 | Yes | No |
| 17949459 | SYSTEMS AND METHODS TO ASSOCIATE AN EXCHANGE WITH ONE OF MULTIPLE CONTAINERS OF A CAPACITY PLAN | September 2022 | August 2025 | Allow | 35 | 1 | 0 | Yes | No |
| 17933196 | INTELLIGENT FUNCTION EXECUTION LEVERAGING METADATA | September 2022 | July 2025 | Allow | 34 | 1 | 0 | No | No |
| 17634325 | DETECTION OF INSTANCE LIVENESS | February 2022 | July 2025 | Allow | 41 | 3 | 0 | Yes | Yes |
| 17105455 | PERFORMANCE-BASED PUBLIC CLOUD SELECTION FOR A HYBRID CLOUD ENVIRONMENT | November 2020 | August 2023 | Allow | 32 | 4 | 0 | Yes | Yes |
| 16732067 | METHOD AND SYSTEM FOR PERFORMING HYPERCONVERGENCE USING BLOCKCHAINS | December 2019 | March 2020 | Allow | 3 | 0 | 0 | No | No |
| 16696606 | Dynamic Access of Task Queues in a Parallel Processing System | November 2019 | February 2021 | Allow | 15 | 0 | 0 | No | No |
| 16665078 | SCHEDULING METHOD AND SCHEDULING DEVICE | October 2019 | May 2021 | Allow | 18 | 0 | 0 | Yes | No |
| 16569016 | MEMORY ACCESS OPTIMIZATION IN A PROCESSOR COMPLEX | September 2019 | August 2020 | Allow | 11 | 0 | 0 | No | No |
| 16508093 | HARDWARE ACCELERATED COMPUTE KERNELS | July 2019 | March 2021 | Allow | 20 | 1 | 0 | No | No |
| 16508100 | DYNAMIC ALLOCATION OF FPGA RESOURCES | July 2019 | March 2021 | Allow | 20 | 1 | 0 | No | No |
| 16457966 | CORE ADVERTISEMENT OF AVAILABILITY | June 2019 | February 2021 | Allow | 19 | 0 | 0 | No | No |
| 16457422 | INTER-PROCESSOR INTERRUPT VIRTUALIZATION WITH PASS-THROUGH OF LOCAL INTERRUPT CONTROLLER | June 2019 | January 2021 | Allow | 19 | 0 | 0 | Yes | No |
| 16419174 | EXPONENTIAL DECAY REAL-TIME CAPACITY PLANNING | May 2019 | January 2021 | Allow | 20 | 0 | 0 | No | No |
| 16412555 | Task Scheduling Using Improved Weighted Round Robin Techniques | May 2019 | August 2020 | Allow | 15 | 0 | 0 | No | No |
| 16135623 | Data Flow Control in a Parallel Processing System | September 2018 | October 2019 | Allow | 13 | 1 | 0 | No | No |
| 16121021 | Virtual Processor Cache Reuse | September 2018 | April 2020 | Allow | 19 | 0 | 0 | No | No |
| 16115210 | LEVERAGING DIRECTED ACYCLIC GRAPH (DAG) INFORMATION TO GROUP TASKS FOR EXECUTION | August 2018 | February 2020 | Allow | 17 | 1 | 0 | No | No |
| 15922192 | AGGREGATING, DISAGGREGATING AND CONVERTING ELECTRONIC TRANSACTION REQUEST MESSAGES | March 2018 | May 2020 | Allow | 26 | 2 | 0 | Yes | No |
| 15919039 | Secure Method for Managing a Virtual Test Platform | March 2018 | January 2020 | Allow | 22 | 1 | 0 | No | No |
| 15812034 | CONTEXT SWITCH BY CHANGING MEMORY POINTERS | November 2017 | July 2019 | Allow | 20 | 1 | 0 | No | No |
| 15811717 | METHOD AND APPARATUS FOR RESOLVING CONTENTION AT THE HYPERVISOR LEVEL | November 2017 | March 2018 | Allow | 4 | 1 | 0 | No | No |
| 15796881 | METHOD AND APPARATUS FOR RESOLVING CONTENTION IN A COMPUTER SYSTEM | October 2017 | March 2018 | Allow | 5 | 1 | 0 | No | No |
| 15636149 | COMPUTER-IMPLEMENTED METHODS AND SYSTEMS OF AUTOMATICALLY GENERATING AND STORING TASKS FOR MESSAGING APPLICATIONS | June 2017 | May 2019 | Allow | 23 | 1 | 1 | No | No |
| 15497449 | MEMORY ACCESS OPTIMIZATION IN A PROCESSOR COMPLEX | April 2017 | June 2019 | Allow | 26 | 1 | 0 | Yes | No |
| 15464574 | HARDWARE THREAD SCHEDULING | March 2017 | December 2018 | Allow | 21 | 1 | 0 | Yes | No |
| 15428608 | INFORMATION PROCESSING DEVICE AND SYSTEM FOR SUPPRESSING DEGRADATION OF PROCESSING PERFORMANCE OF PROGRAM, METHOD FOR CONTROLLING INFORMATION PROCESSING SYSTEM, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM | February 2017 | March 2020 | Allow | 37 | 4 | 0 | Yes | No |
| 15412205 | METHODS AND SYSTEMS FOR STARTING COMPUTERIZED SYSTEM MODULES | January 2017 | November 2019 | Allow | 34 | 3 | 0 | Yes | No |
| 15310020 | A MECHANISM FOR CONTROLLED SERVER OVERALLOCATION IN A DATACENTER | November 2016 | October 2018 | Allow | 23 | 1 | 0 | Yes | No |
| 15165603 | ENERGY EFFICIENT SUPERCOMPUTER JOB ALLOCATION | May 2016 | March 2018 | Allow | 22 | 1 | 0 | Yes | No |
| 15139400 | DYNAMIC TIMEOUT PERIOD ADJUSTMENT OF SERVICE REQUESTS | April 2016 | March 2017 | Allow | 10 | 0 | 0 | Yes | No |
| 15090644 | PROVIDING A CUSTOM VIRTUAL APPLIANCE | April 2016 | October 2017 | Allow | 18 | 0 | 0 | Yes | No |
| 14995264 | METHOD AND APPARATUS FOR RESOLVING CONTENTION AT THE HYPERVISOR LEVEL | January 2016 | August 2017 | Allow | 19 | 0 | 0 | Yes | No |
| 14980687 | APPROXIMATING SEQUENTIAL WORKLOADS ON RESOURCE CONSTRAINED SYSTEMS | December 2015 | June 2018 | Allow | 29 | 2 | 0 | Yes | No |
| 14956275 | BUILDING OF VIRTUAL SERVERS IN A CLOUD VIA NON-STRUCTURED STRINGS | December 2015 | April 2017 | Allow | 17 | 0 | 0 | Yes | No |
| 14950311 | DYNAMIC TIMEOUT PERIOD ADJUSTMENT OF SERVICE REQUESTS | November 2015 | March 2017 | Allow | 15 | 0 | 0 | Yes | No |
| 14946312 | PROCESSING A GUEST EVENT IN A HYPERVISOR-CONTROLLED SYSTEM | November 2015 | July 2017 | Allow | 20 | 1 | 0 | Yes | No |
| 14890217 | JOB SCHEDULING APPARATUS AND METHOD BASED ON ISLAND EXECUTION TIME | November 2015 | February 2017 | Allow | 15 | 1 | 0 | Yes | No |
| 14935056 | SELECTING A RESOURCE FROM A SET OF RESOURCES FOR PERFORMING AN OPERATION | November 2015 | May 2017 | Allow | 18 | 1 | 0 | Yes | No |
| 14924759 | Processing a guest event in a hypervisor-controlled system | October 2015 | September 2017 | Allow | 23 | 2 | 0 | Yes | No |
| 14919892 | Methods and Systems for Starting Computerized System Modules | October 2015 | April 2017 | Allow | 18 | 1 | 0 | Yes | No |
| 14836004 | NETWORK-AWARE WORKLOAD PLACEMENT IN A DATA CENTER | August 2015 | May 2018 | Allow | 33 | 4 | 0 | Yes | No |
| 14830267 | PREDICTIVE WORKLOAD SCHEDULING WITH INTEGRATED ANALYTICS | August 2015 | June 2017 | Allow | 22 | 2 | 0 | Yes | No |
| 14754758 | WORKLOAD DISTRIBUTION MANAGEMENT APPARATUS AND CONTROL METHOD | June 2015 | March 2017 | Allow | 20 | 2 | 0 | Yes | No |
| 14788210 | METHODS AND APPARATUS TO TRANSFER PHYSICAL HARDWARE RESOURCES BETWEEN VIRTUAL RACK DOMAINS IN A VIRTUALIZED SERVER RACK | June 2015 | January 2017 | Allow | 19 | 1 | 0 | Yes | No |
| 14745101 | MANAGING RESOURCE RESERVATIONS IN A HIGHLY PARALLEL APPLICATION | June 2015 | December 2016 | Allow | 18 | 1 | 0 | Yes | No |
| 14669067 | APPARATUS AND METHOD FOR VALIDATING APPLICATION DEPLOYMENT TOPOLOGY IN CLOUD COMPUTING ENVIRONMENT | March 2015 | May 2016 | Allow | 14 | 1 | 0 | Yes | No |
| 14667374 | Selecting Resource Allocation Policies and Resolving Resource Conflicts | March 2015 | December 2016 | Allow | 21 | 1 | 0 | Yes | No |
| 14582297 | ENERGY EFFICIENT SUPERCOMPUTER JOB ALLOCATION | December 2014 | May 2016 | Allow | 16 | 1 | 0 | Yes | No |
| 14469151 | SIGNATURE-BASED DETECTION OF KERNEL DATA STRUCTURE MODIFICATION | August 2014 | July 2016 | Allow | 23 | 1 | 0 | No | No |
| 14453114 | PROVIDING A CUSTOM VIRTUAL APPLIANCE | August 2014 | February 2016 | Allow | 19 | 1 | 0 | Yes | No |
| 14304893 | DEPLOYING A PORTION OF A STREAMING APPLICATION TO ONE OR MORE VIRTUAL MACHINES ACCORDING TO COST | June 2014 | March 2017 | Allow | 33 | 3 | 0 | Yes | No |
| 14276156 | DEPLOYING A PORTION OF A STREAMING APPLICATION TO ONE OR MORE VIRTUAL MACHINES ACCORDING TO COST | May 2014 | March 2017 | Allow | 34 | 3 | 0 | Yes | No |
| 14175404 | SYSTEM AND METHOD FOR THREAD PROTECTED TESTING | February 2014 | July 2015 | Allow | 17 | 1 | 0 | No | No |
| 14169030 | SCHEDULING THREADS | January 2014 | June 2016 | Allow | 28 | 1 | 0 | Yes | No |
| 14050831 | PERFORMANCE MEASUREMENT OF HARDWARE ACCELERATORS | October 2013 | May 2016 | Allow | 31 | 2 | 0 | Yes | No |
| 13970180 | METHOD TO APPLY PERTURBATION FOR RESOURCE BOTTLENECK DETECTION AND CAPACITY PLANNING | August 2013 | September 2016 | Allow | 37 | 3 | 0 | Yes | No |
| 13964770 | SANITIZATION OF VIRTUAL MACHINE IMAGES | August 2013 | March 2016 | Allow | 31 | 2 | 0 | Yes | No |
| 13957162 | INFORMATION PROCESSING METHOD, INFORMATION PROCESSING APPARATUS, RECORDING MEDIUM, AND SYSTEM | August 2013 | February 2016 | Allow | 31 | 1 | 0 | Yes | No |
| 13950014 | SANITIZATION OF VIRTUAL MACHINE IMAGES | July 2013 | March 2016 | Allow | 31 | 2 | 0 | Yes | No |
| 13947870 | SYSTEMS AND METHODS FOR QUERY QUEUE OPTIMIZATION | July 2013 | December 2016 | Allow | 41 | 3 | 0 | Yes | No |
| 13978798 | DATA TRANSFER CONTROL METHOD OF PARALLEL DISTRIBUTED PROCESSING SYSTEM, PARALLEL DISTRIBUTED PROCESSING SYSTEM, AND RECORDING MEDIUM | July 2013 | September 2015 | Allow | 26 | 1 | 0 | No | No |
| 13937697 | METHOD TO APPLY PERTURBATION FOR RESOURCE BOTTLENECK DETECTION AND CAPACITY PLANNING | July 2013 | September 2016 | Allow | 38 | 3 | 0 | Yes | No |
| 13995048 | CHARACTERIZATION OF WITHIN-DIE VARIATIONS OF MANY-CORE PROCESSORS | June 2013 | December 2015 | Allow | 30 | 2 | 0 | No | No |
| 13901740 | Auto Detecting Shared Libraries and Creating A Virtual Scope Repository | May 2013 | July 2015 | Allow | 26 | 2 | 0 | Yes | No |
| 13902617 | Management of Supervisor Mode Execution Protection (SMEP) by a Hypervisor | May 2013 | November 2015 | Allow | 29 | 2 | 0 | Yes | No |
| 13837496 | METHOD AND APPARATUS FOR SUPPORTING VIRTUALIZATION OF LOADABLE MODULE | March 2013 | June 2015 | Allow | 27 | 1 | 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, 66.7% 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 2198 and has examined 90 patent applications in our dataset. With an allowance rate of 100.0%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 25 months.
Examiner SUN, CHARLIE's allowance rate of 100.0% places them in the 95% 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 1.62 office actions before reaching final disposition. This places the examiner in the 32% 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 SUN, CHARLIE is 25 months. This places the examiner in the 78% percentile for prosecution speed. Applications move through prosecution relatively quickly with this examiner.
Conducting an examiner interview provides a +0.0% benefit to allowance rate for applications examined by SUN, CHARLIE. This interview benefit is in the 13% 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, 34.8% of applications are subsequently allowed. This success rate is in the 77% 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 36.7% of cases where such amendments are filed. This entry rate is in the 55% 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, 200.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 94% percentile among all examiners. Strategic Recommendation: Pre-appeal conferences are highly effective with this examiner compared to others. Before filing a full appeal brief, strongly consider requesting a PAC. The PAC provides an opportunity for the examiner and supervisory personnel to reconsider the rejection before the case proceeds to the PTAB.
This examiner withdraws rejections or reopens prosecution in 75.0% of appeals filed. This is in the 64% percentile among all examiners. Of these withdrawals, 33.3% 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, 66.7% are granted (fully or in part). This grant rate is in the 72% 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 1.1% of allowed cases (in the 68% 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 0.0% 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.