Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18889946 | APPARATUS AND METHOD FOR INCREASING SECURITY OF A VIRTUAL MACHINE | September 2024 | February 2025 | Allow | 5 | 1 | 0 | Yes | No |
| 18749419 | RESOURCE ALLOCATION OPTIMIZATION USING ARTIFICIAL INTELLIGENCE | June 2024 | December 2024 | Allow | 6 | 1 | 0 | Yes | No |
| 18667008 | FRAMEWORK FOR HIGH PERFORMANCE BLOCKCHAINS | May 2024 | March 2025 | Allow | 10 | 1 | 0 | Yes | No |
| 18710850 | SIGNAL PROCESSING DEVICE AND DISPLAY APPARATUS FOR VEHICLES INCLUDING THE SAME | May 2024 | March 2025 | Allow | 10 | 1 | 0 | No | No |
| 18641999 | METHOD FOR PROCESSING MULTIPLE TRANSACTIONS CONVERTED FROM SINGLE TRANSACTION IN PROCESSOR, AND PROCESSOR FOR PERFORMING SAME | April 2024 | October 2024 | Allow | 5 | 1 | 0 | Yes | No |
| 18425985 | SYSTEM AND METHOD FOR REQUEST ISOLATION | January 2024 | April 2025 | Allow | 14 | 1 | 0 | Yes | No |
| 18544263 | PROVISIONING OF NODE BASED ON DOWNSIZING OR MIGRATION | December 2023 | March 2025 | Allow | 15 | 2 | 0 | Yes | No |
| 18515027 | Critical Section Speedup Using Help-Enabled Locks | November 2023 | February 2025 | Allow | 15 | 1 | 0 | No | No |
| 18504744 | GUEST CLUSTER DEPLOYED AS VIRTUAL EXTENSION OF MANAGEMENT CLUSTER IN A VIRTUALIZED COMPUTING SYSTEM | November 2023 | October 2024 | Allow | 12 | 1 | 0 | No | No |
| 18500070 | DATA PROCESSING UNIT FOR STREAM PROCESSING | November 2023 | March 2025 | Allow | 16 | 2 | 0 | Yes | No |
| 18339923 | DIRECT ACCESS STORAGE FOR PERSISTENT SERVICES IN A VIRTUALIZED COMPUTING SYSTEM | June 2023 | April 2025 | Allow | 22 | 1 | 0 | No | No |
| 18316209 | INTEGRATING VIRTUALIZATION AND HOST NETWORKING | May 2023 | December 2024 | Allow | 19 | 1 | 0 | No | No |
| 18295678 | SYSTEM AND METHOD FOR DYNAMIC ADJUSTMENT OF DATA PLANE VIRTUAL MACHINES | April 2023 | January 2025 | Allow | 21 | 1 | 0 | No | No |
| 18111331 | MANAGING CONTAINERS ACROSS MULTIPLE OPERATING SYSTEMS | February 2023 | May 2025 | Allow | 27 | 4 | 0 | Yes | No |
| 18166728 | FAST DEVICE DISCOVERY FOR VIRTUAL MACHINES | February 2023 | August 2024 | Allow | 18 | 2 | 0 | Yes | No |
| 18091263 | TASK SCHEDULING FOR MACHINE-LEARNING WORKLOADS | December 2022 | January 2025 | Allow | 25 | 3 | 0 | Yes | No |
| 17697338 | CONFLICT DETECTION METHOD AND SYSTEM FOR INTERNET OF THINGS (IoT) DEVICE SCHEDULING | March 2022 | January 2025 | Allow | 34 | 1 | 0 | No | No |
| 17654427 | METHOD AND SYSTEM FOR FUNCTION CALL AND VARIABLE ACCESS BASED RELAXED BACKWARD SLICING | March 2022 | October 2024 | Allow | 32 | 0 | 0 | Yes | No |
| 17691519 | WEIGHTED AVAILING OF CLOUD RESOURCES | March 2022 | March 2025 | Allow | 36 | 1 | 0 | Yes | No |
| 17637840 | Resource Scheduling Method, Apparatus and System | February 2022 | October 2024 | Allow | 32 | 1 | 0 | No | No |
| 17670661 | VIRTUALIZING HARDWARE COMPONENTS THAT IMPLEMENT Al APPLICATIONS | February 2022 | February 2024 | Abandon | 24 | 3 | 0 | No | No |
| 17649543 | RESOURCE TUNING WITH USAGE FORECASTING | January 2022 | February 2025 | Allow | 37 | 1 | 0 | Yes | No |
| 17589686 | SYSTEM AND METHOD OF VM RECOVERY ON S3 COMPATIBLE OBJECT STORAGE | January 2022 | March 2025 | Allow | 38 | 2 | 0 | Yes | No |
| 17537624 | Migrating Workloads To A Preferred Environment | November 2021 | October 2024 | Allow | 35 | 5 | 0 | Yes | No |
| 17533304 | REALTIME INDUCTIVE APPLICATION DISCOVERY BASED ON DELTA FLOW CHANGES WITHIN COMPUTING ENVIRONMENTS | November 2021 | February 2025 | Abandon | 39 | 1 | 0 | No | No |
| 17531778 | SYSTEM AND METHOD FOR ADAPTIVE RELEASE OF APPLICATION PROGRAM IN DIFFERENT ENVIRONMENTS | November 2021 | December 2024 | Abandon | 37 | 1 | 0 | No | No |
| 17529854 | TASK SCHEDULING METHOD, AND COMPUTING DEVICE AND APPLICATION PROCESSOR USING THE SAME | November 2021 | March 2025 | Allow | 39 | 2 | 0 | Yes | No |
| 17510184 | Systems and Methods for a Process Checklist Generator | October 2021 | October 2024 | Allow | 35 | 1 | 0 | Yes | No |
| 17508225 | UPDATING VIRTUAL IMAGES OF COMPUTING ENVIRONMENTS | October 2021 | April 2025 | Allow | 42 | 1 | 0 | No | No |
| 17506017 | Risk Assessment of a Container Build | October 2021 | January 2025 | Allow | 39 | 0 | 0 | No | No |
| 17505367 | RESOURCE AVAILABILITY-BASED WORKFLOW EXECUTION TIMING DETERMINATION | October 2021 | June 2025 | Allow | 44 | 3 | 0 | Yes | No |
| 17357693 | Application-Aware Management of a Storage System | June 2021 | October 2024 | Allow | 39 | 2 | 0 | Yes | No |
| 17333975 | Autonomous Vehicle Operated with Safety Augmentation | May 2021 | April 2024 | Allow | 34 | 1 | 0 | Yes | No |
| 17195187 | COMPUTING TASK SCHEDULING IN A COMPUTER SYSTEM UTILIZING EFFICIENT ATTRIBUTED PRIORITY QUEUES | March 2021 | July 2024 | Allow | 41 | 1 | 1 | Yes | No |
| 17178983 | CROSS-CONTAINER DELEGATION | February 2021 | September 2024 | Allow | 43 | 2 | 0 | Yes | No |
| 17144896 | MULTI-SCALE EXPONENTIAL-SMOOTHING FORECASTER FOR TIME SERIES DATA | January 2021 | February 2025 | Allow | 49 | 2 | 0 | Yes | No |
| 17130657 | VIRTUALIZATION FOR AUDIO CAPTURE | December 2020 | May 2025 | Abandon | 52 | 6 | 0 | Yes | No |
| 17102401 | Mobile Mini-cloud system enabling user subscription to cloud service | November 2020 | June 2024 | Allow | 43 | 1 | 0 | Yes | No |
| 17100548 | DATA BUFFERING METHOD, DATA PROCESSING METHOD, COMPUTER DEVICE, STORAGE MEDIUM | November 2020 | July 2024 | Allow | 43 | 3 | 0 | Yes | No |
| 16121552 | SYSTEM RESOURCE COMPONENT UTILIZATION | September 2018 | May 2019 | Allow | 8 | 1 | 0 | Yes | No |
| 16056670 | SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR TEMPERATURE-AWARE TASK SCHEDULING | August 2018 | December 2019 | Allow | 16 | 2 | 0 | Yes | No |
| 15985111 | METHOD AND APPARATUS FOR MANAGING AN APPLICATION BEING EXECUTED IN A PORTABLE TERMINAL | May 2018 | April 2020 | Allow | 23 | 4 | 0 | Yes | No |
| 15872039 | Systems and methods for efficiently expediting execution of tasks in isolated environments | January 2018 | February 2020 | Allow | 25 | 1 | 0 | No | No |
| 15829806 | FLOW MANAGEMENT AND FLOW MODELING IN NETWORK CLOUDS | December 2017 | January 2020 | Allow | 25 | 1 | 0 | Yes | No |
| 15827546 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING SYSTEM AND INFORMATION PROCESSING METHOD FOR EXECUTING DOCUMENT READING PROCESSING | November 2017 | December 2019 | Allow | 25 | 2 | 0 | Yes | No |
| 15825343 | THRESHOLDING TASK CONTROL BLOCKS FOR STAGING AND DESTAGING | November 2017 | June 2019 | Allow | 18 | 1 | 0 | No | No |
| 15811718 | RESOURCE MANAGEMENT FOR UNTRUSTED PROGRAMS | November 2017 | April 2018 | Allow | 5 | 1 | 0 | No | No |
| 15259207 | SMART REDUCE TASK SCHEDULER | September 2016 | March 2019 | Allow | 30 | 2 | 0 | Yes | No |
| 15219071 | SUPPORT OF NON-TRIVIAL SCHEDULING POLICIES ALONG WITH TOPOLOGICAL PROPERTIES | July 2016 | April 2019 | Allow | 32 | 3 | 0 | No | No |
| 15219055 | SUPPORT OF NON-TRIVIAL SCHEDULING POLICIES ALONG WITH TOPOLOGICAL PROPERTIES | July 2016 | June 2019 | Allow | 35 | 3 | 0 | No | No |
| 15161407 | APPARATUS AND METHOD FOR EXECUTING MAINTENANCE PROCESSING ON COMPUTERS COUPLED VIA A MULTIDIMENSIONAL MESH OR TORUS CONNECTION IN A NETWORK | May 2016 | March 2019 | Allow | 33 | 3 | 0 | No | No |
| 15158544 | AUTOMATED WORKLOAD ANALYSIS AND SIMULATION PROCESS | May 2016 | December 2018 | Allow | 31 | 2 | 0 | No | No |
| 15088606 | OPTIMIZATION OF PARALLEL PROCESSING USING WATERFALL REPRESENTATIONS | April 2016 | April 2018 | Allow | 24 | 1 | 0 | Yes | No |
| 14917621 | ALLOCATION OF VIRTUAL MACHINES TO PHYSICAL MACHINES THROUGH DOMINANT RESOURCE ASSISTED HEURISTICS | March 2016 | April 2018 | Allow | 25 | 1 | 0 | No | No |
| 14961650 | SINGLETON COORDINATION IN AN ACTOR-BASED SYSTEM | December 2015 | July 2017 | Allow | 19 | 0 | 0 | No | No |
| 14948277 | SELECTING PROCESSOR MICRO-THREADING MODE | November 2015 | May 2017 | Allow | 18 | 1 | 0 | Yes | No |
| 14937999 | SYSTEM RESOURCE COMPONENT UTILIZATION | November 2015 | June 2018 | Allow | 31 | 2 | 1 | Yes | No |
| 14938011 | Selecting Processor Micro-Threading Mode | November 2015 | May 2017 | Allow | 18 | 1 | 0 | Yes | No |
| 14869159 | ACCELERATOR FUNCTIONALITY MANAGEMENT IN A COHERENT COMPUTING SYSTEM | September 2015 | May 2017 | Allow | 19 | 2 | 0 | No | No |
| 14836516 | ACCELERATOR FUNCTIONALITY MANAGEMENT IN A COHERENT COMPUTING SYSTEM | August 2015 | March 2017 | Allow | 19 | 1 | 0 | No | No |
| 14833181 | SCALING PAST THE JAVA VIRTUAL MACHINE THREAD LIMIT | August 2015 | April 2017 | Allow | 19 | 1 | 0 | Yes | No |
| 14827398 | INFORMATION PROCESSING SYSTEM AND PROGRAM MIGRATION METHOD | August 2015 | May 2017 | Allow | 21 | 1 | 0 | No | No |
| 14827344 | DYNAMICALLY CONFIGURABLE HARDWARE QUEUES FOR DISPATCHING JOBS TO A PLURALITY OF HARDWARE ACCELERATION ENGINES | August 2015 | March 2017 | Allow | 19 | 1 | 0 | No | No |
| 14655407 | RESOURCE CONSUMPTION OPTIMIZATION | June 2015 | April 2017 | Allow | 22 | 1 | 0 | No | No |
| 14717691 | PREFERENTIAL ALLOCATION OF PROCESSORS FOR STATESAVE IN A STORAGE CONTROLLER | May 2015 | May 2017 | Allow | 24 | 1 | 0 | Yes | No |
| 14438783 | VIRTUAL MACHINE MIGRATION | April 2015 | March 2017 | Allow | 22 | 0 | 0 | No | No |
| 14249782 | AUTOMATICALLY IDENTIFYING A CAPACITY OF A RESOURCE | April 2014 | April 2016 | Allow | 24 | 0 | 0 | No | No |
| 14196406 | INFORMATION PROCESSING DEVICE, JOB SCHEDULING METHOD, AND JOB SCHEDULING PROGRAM | March 2014 | September 2015 | Allow | 19 | 0 | 0 | Yes | No |
| 14171634 | VIRTUAL MACHINE-GUEST DRIVEN STATE RESTORING BY HYPERVISOR | February 2014 | November 2015 | Allow | 22 | 1 | 0 | Yes | No |
| 14030953 | SUPPORT OF NON-TRIVIAL SCHEDULING POLICIES ALONG WITH TOPOLOGICAL PROPERTIES | September 2013 | May 2016 | Allow | 32 | 1 | 0 | No | No |
| 13912397 | INFORMATION PROCESSING APPARATUS AND CONTROL METHOD THEREOF | June 2013 | February 2016 | Allow | 32 | 2 | 0 | Yes | No |
| 13908379 | GENERATING, AT LEAST IN PART, AT LEAST ONE PACKET INDICATING, AT LEAST IN PART, AT LEAST ONE COMMAND AND/OR ISSUING, AT LEAST IN PART, AT LEAST ONE RESULT OF EXECUTION, AT LEAST IN PART, OF THE AT LEAST ONE COMMAND | June 2013 | September 2015 | Allow | 27 | 1 | 0 | No | No |
| 13908609 | COMPUTER, VIRTUALIZATION MECHANISM, AND SCHEDULING METHOD | June 2013 | August 2015 | Allow | 27 | 1 | 0 | No | No |
| 13900948 | DYNAMIC RUN TIME ALLOCATION OF DISTRIBUTED JOBS WITH APPLICATION SPECIFIC METRICS | May 2013 | June 2016 | Allow | 37 | 2 | 0 | Yes | No |
| 13874066 | CONCURRENT HYPERVISOR REPLACEMENT | April 2013 | September 2015 | Allow | 28 | 1 | 0 | No | No |
| 13866027 | MANAGING OPERATION REQUESTS USING DIFFERENT RESOURCES | April 2013 | December 2016 | Allow | 43 | 2 | 0 | No | No |
| 13851748 | LOCK RESOLUTION FOR DISTRIBUTED DURABLE INSTANCES | March 2013 | January 2016 | Allow | 34 | 1 | 0 | No | No |
| 13709222 | DYNAMIC RUN TIME ALLOCATION OF DISTRIBUTED JOBS WITH APPLICATION SPECIFIC METRICS | December 2012 | April 2015 | Allow | 28 | 1 | 0 | No | No |
| 13670806 | AUTOMATED AND OPTIMAL DEACTIVATION OF SERVICE TO ENABLE EFFECTIVE RESOURCE REUSABILITY | November 2012 | April 2015 | Allow | 29 | 1 | 0 | Yes | No |
| 13669968 | Adaptive Auto-Pipelining for Stream Processing Applications | November 2012 | March 2015 | Allow | 29 | 1 | 0 | Yes | No |
| 13666185 | IMAGE FORMING APPARATUS CONNECTABLE TO MULTIPLE HOSTS AND METHOD OF CONTROLLING IMAGE FORMING JOBS OF THE IMAGE FORMING APPARATUS | November 2012 | October 2015 | Allow | 35 | 2 | 0 | Yes | No |
| 13649160 | INFORMATION PROCESSING SYSTEM FOR DATA TRANSFER | October 2012 | June 2015 | Allow | 32 | 2 | 0 | No | No |
| 13625375 | MULTI-CORE PROCESSOR SYSTEM, COMPUTER PRODUCT, AND CONTROL METHOD | September 2012 | November 2015 | Allow | 38 | 2 | 0 | No | No |
| 13604255 | SELECTABLE EVENT REPORTING FOR HIGHLY VIRTUALIZED PARTITIONED SYSTEMS | September 2012 | August 2014 | Allow | 23 | 1 | 0 | Yes | No |
| 13603643 | SECURE RECURSIVE VIRTUALIZATION | September 2012 | March 2015 | Allow | 30 | 1 | 0 | Yes | No |
| 13395102 | METHOD FOR THE REAL-TIME ORDERING OF A SET OF NONCYCLICAL MULTI-FRAME TASKS | July 2012 | January 2014 | Allow | 23 | 0 | 0 | No | No |
| 13550223 | EMBEDDED SYSTEMS AND METHODS FOR THREADS AND BUFFER MANAGEMENT THEREOF | July 2012 | October 2015 | Allow | 39 | 3 | 0 | No | No |
| 13545262 | THREAD MANAGEMENT IN PARALLEL PROCESSES | July 2012 | November 2014 | Allow | 28 | 1 | 0 | Yes | No |
| 13528006 | OPTIMIZING PROVISIONING WORKFLOWS IN CLOUD COMPUTING | June 2012 | September 2015 | Allow | 39 | 1 | 0 | Yes | No |
| 13459812 | Logical Partition Defragmentation within a Data Processing System | April 2012 | April 2014 | Allow | 23 | 2 | 0 | Yes | No |
| 13445051 | CONTROLLING DEPTH AND LATENCY OF EXIT OF A VIRTUAL PROCESSOR'S IDLE STATE IN A POWER MANAGEMENT ENVIRONMENT | April 2012 | December 2014 | Allow | 32 | 1 | 0 | Yes | No |
| 13439203 | Apportioning Summarized Metrics Based on Unsummarized Metrics in a Computing System | April 2012 | June 2014 | Allow | 27 | 1 | 0 | Yes | No |
| 13427057 | Performing An Allreduce Operation Using Shared Memory | March 2012 | January 2014 | Allow | 22 | 1 | 0 | No | No |
| 13423181 | DYNAMIC NETWORK ADAPTER QUEUE PAIR ALLOCATION | March 2012 | September 2013 | Allow | 18 | 1 | 0 | Yes | No |
| 13355611 | THREAD SCHEDULING ON MULTIPROCESSOR SYSTEMS | January 2012 | May 2014 | Allow | 28 | 2 | 0 | No | No |
| 13345424 | COMPUTER SCHEDULING PRODUCT AND APPARATUS THEREFOR | January 2012 | March 2014 | Allow | 26 | 1 | 0 | Yes | No |
| 13323914 | DYNAMICALLY CONFIGURABLE HARDWARE QUEUES FOR DISPATCHING JOBS TO A PLURALITY OF HARDWARE ACCELERATION ENGINES | December 2011 | June 2016 | Allow | 54 | 4 | 1 | Yes | No |
| 13285713 | Staggering Execution of Scheduled Tasks Based on Behavioral Information | October 2011 | July 2014 | Allow | 33 | 1 | 0 | Yes | No |
| 13273468 | FRAMEWORK FOR DOMAIN-SPECIFIC RUN-TIME ENVIRONMENT ACCELERATION USING VIRTUALIZATION TECHNOLOGY | October 2011 | January 2014 | Allow | 28 | 2 | 0 | Yes | No |
| 13250865 | SPECULATIVE TASK READING IN A TRAFFIC MANAGER OF A NETWORK PROCESSOR | September 2011 | June 2014 | Allow | 33 | 1 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner TANG, KENNETH.
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 TANG, KENNETH works in Art Unit 2197 and has examined 130 patent applications in our dataset. With an allowance rate of 96.9%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 32 months.
Examiner TANG, KENNETH's allowance rate of 96.9% 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 TANG, KENNETH receive 1.52 office actions before reaching final disposition. This places the examiner in the 38% 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 TANG, KENNETH is 32 months. This places the examiner in the 32% percentile for prosecution speed. Prosecution timelines are slightly slower than average with this examiner.
Conducting an examiner interview provides a +4.6% benefit to allowance rate for applications examined by TANG, KENNETH. This interview benefit is in the 28% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.
When applicants file an RCE with this examiner, 38.3% of applications are subsequently allowed. This success rate is in the 85% 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 56.4% of cases where such amendments are filed. This entry rate is in the 78% 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, 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 66.7% of appeals filed. This is in the 43% 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 below-average willingness to reconsider rejections during appeals. Be prepared to fully prosecute appeals if filed.
When applicants file petitions regarding this examiner's actions, 66.7% are granted (fully or in part). This grant rate is in the 83% percentile among all examiners. Strategic Note: Petitions are frequently granted regarding this examiner's actions compared to other examiners. Per MPEP § 1002.02(c), various examiner actions are petitionable to the Technology Center Director, including prematureness of final rejection, refusal to enter amendments, and requirement for information. If you believe an examiner action is improper, consider filing a petition.
Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 11% percentile). This examiner rarely makes examiner's amendments compared to other examiners. You should expect to make all necessary claim amendments yourself through formal amendment practice.
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 14% 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.