Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18958186 | METHOD FOR INSTRUCTION REWRITING, ELECTRONIC DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM | November 2024 | January 2025 | Allow | 2 | 0 | 0 | No | No |
| 18744738 | DYNAMIC SOFTWARE INTERFACE TRANSLATION FOR COMPUTING IN A HETEROGENEOUS ENVIRONMENT | June 2024 | August 2024 | Allow | 2 | 0 | 0 | No | No |
| 18678520 | PROCESSING-IN-MEMORY MEMORY DEVICE AND METHOD FOR PERFORMING INDIRECT ADDRESSING IN THE SAME | May 2024 | June 2025 | Allow | 12 | 0 | 0 | No | No |
| 18623567 | SYSTEMS AND METHODS FOR CREATING DETERMINATIONS SYSTEMS | April 2024 | June 2024 | Allow | 3 | 0 | 0 | No | No |
| 18415159 | NEURAL NETWORK ACTIVATION COMPRESSION WITH NON-UNIFORM MANTISSAS | January 2024 | December 2024 | Allow | 11 | 0 | 0 | No | No |
| 18413776 | INTER-PROCESS SERVING OF MACHINE LEARNING FEATURES FROM MAPPED MEMORY FOR MACHINE LEARNING MODELS | January 2024 | April 2025 | Allow | 14 | 1 | 0 | No | No |
| 18406346 | HIGH PERFORMANCE PROCESSOR FOR LOW-WAY AND HIGH-LATENCY MEMORY INSTANCES | January 2024 | May 2025 | Allow | 16 | 1 | 0 | No | No |
| 18402606 | COMPUTER PROCESSOR FOR HIGHER PRECISION COMPUTATIONS USING A MIXED-PRECISION DECOMPOSITION OF OPERATIONS | January 2024 | March 2025 | Allow | 14 | 1 | 0 | No | No |
| 18397664 | SYSTEMS AND METHODS FOR PERFORMING 16-BIT FLOATING-POINT MATRIX DOT PRODUCT INSTRUCTIONS | December 2023 | February 2025 | Allow | 13 | 1 | 0 | No | No |
| 18531734 | DATA PROCESSING APPARATUS AND RELATED PRODUCTS | December 2023 | March 2025 | Allow | 16 | 1 | 0 | No | No |
| 18387045 | Thread Commencement Using a Work Descriptor Packet in a Self-Scheduling Processor | November 2023 | March 2025 | Allow | 16 | 1 | 0 | No | No |
| 18386880 | Multi-Threaded, Self-Scheduling Processor | November 2023 | July 2024 | Allow | 9 | 0 | 0 | Yes | No |
| 18492214 | Apparatus for Calculating and Retaining a Bound on Error during Floating-Point Operations and Methods Thereof | October 2023 | March 2025 | Abandon | 17 | 1 | 0 | No | No |
| 18459397 | PROCESS PARASITISM-BASED BRANCH PREDICTION METHOD AND DEVICE FOR SERVERLESS COMPUTING, ELECTRONIC DEVICE, AND NON-TRANSITORY READABLE STORAGE MEDIUM | August 2023 | January 2024 | Allow | 4 | 1 | 0 | No | No |
| 18278807 | VECTOR READING AND WRITING METHOD, VECTOR REGISTER SYSTEM, DEVICE, AND MEDIUM | August 2023 | January 2024 | Allow | 4 | 1 | 0 | No | No |
| 18277532 | CROSS-LINKING METHOD AND APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM | August 2023 | June 2025 | Allow | 22 | 0 | 0 | No | No |
| 18449651 | SYSTEMS AND METHODS FOR COMPUTING DOT PRODUCTS OF NIBBLES IN TWO TILE OPERANDS | August 2023 | August 2024 | Allow | 12 | 0 | 0 | Yes | No |
| 18359818 | INTER-PROCESS SERVING OF MACHINE LEARNING FEATURES FROM MAPPED MEMORY FOR MACHINE LEARNING MODELS | July 2023 | September 2023 | Allow | 2 | 0 | 0 | No | No |
| 18226010 | Routing Method Based On A Sorted Operation Unit Graph For An Iterative Placement And Routing On A Reconfigurable Processor | July 2023 | October 2024 | Allow | 14 | 0 | 0 | No | No |
| 18273971 | PROCESSOR, METHOD FOR EXECUTING AN INSTRUCTION ON A PROCESSOR, AND COMPUTER | July 2023 | June 2025 | Allow | 23 | 1 | 0 | No | No |
| 18225041 | CPU TIGHT-COUPLED ACCELERATOR | July 2023 | June 2025 | Allow | 23 | 1 | 0 | Yes | No |
| 18352323 | Trace Cache with Filter for Internal Control Transfer Inclusion | July 2023 | November 2024 | Allow | 16 | 0 | 0 | No | No |
| 18352326 | Next Fetch Predictor for Trace Cache | July 2023 | June 2025 | Allow | 23 | 1 | 0 | Yes | No |
| 18260972 | LOAD CHUNK INSTRUCTION AND STORE CHUNK INSTRUCTION | July 2023 | May 2025 | Allow | 22 | 1 | 0 | No | No |
| 18338643 | RE-TRIGGERING WAKE-UP TO HANDLE TIME SKEW BETWEEN SCALAR AND VECTOR SIDES | June 2023 | November 2024 | Allow | 17 | 0 | 0 | No | No |
| 18211007 | DIFFERENTIAL PIPELINE DELAYS IN A COPROCESSOR | June 2023 | March 2025 | Allow | 21 | 2 | 0 | No | No |
| 18333377 | HARDWARE-BASED IMAGE/VIDEO PROCESSING IN MACHINE LEARNING-ACCELERATOR SYSTEM-ON-CHIP | June 2023 | April 2025 | Allow | 22 | 1 | 0 | No | No |
| 18206188 | Simultaneous Multi-Processor (SiMulPro) Apparatus, Simultaneous Transmit And Receive (STAR) Apparatus, DRAM Interface Apparatus, and Associated Methods | June 2023 | July 2025 | Abandon | 25 | 2 | 0 | No | No |
| 18205702 | EFFICIENT RESOURCE SCHEDULING USING ADAPTIVE SCHEDULING CRITERIA | June 2023 | September 2024 | Allow | 15 | 0 | 0 | No | No |
| 18205637 | Simultaneous Multi-Processor Apparatus Applicable to Acheiving Exascale Performance for Algorithms and Program Systems | June 2023 | December 2024 | Allow | 18 | 1 | 0 | No | No |
| 18202059 | Graph Spatial Split | May 2023 | April 2025 | Allow | 22 | 1 | 0 | Yes | No |
| 18035481 | DATA FLOW CONTROL DEVICE, DATA FLOW CONTROL METHOD, AND DATA FLOW CONTROL PROGRAM | May 2023 | April 2025 | Allow | 23 | 2 | 0 | No | No |
| 18298935 | NEURAL PROCESSING DEVICE AND METHOD FOR SYNCHRONIZATION THEREOF | April 2023 | April 2025 | Allow | 24 | 2 | 0 | No | No |
| 18190761 | SYSTEMS AND METHODS FOR PERFORMING 16-BIT FLOATING-POINT MATRIX DOT PRODUCT INSTRUCTIONS | March 2023 | September 2023 | Allow | 6 | 0 | 0 | Yes | No |
| 18120218 | BROADCASTING MODE OF PLANAR ENGINE FOR NEURAL PROCESSOR | March 2023 | June 2024 | Allow | 15 | 1 | 0 | Yes | No |
| 18024208 | MEMORY PROTECTION FOR GATHER-SCATTER OPERATIONS | March 2023 | November 2024 | Allow | 20 | 0 | 0 | No | No |
| 18115978 | METHOD AND APPARATUS WITH BIT-SERIAL DATA PROCESSING OF A NEURAL NETWORK | March 2023 | September 2023 | Allow | 6 | 0 | 0 | No | No |
| 18115970 | Using renamed registers to support multiple vset{i}vl{i} instructions | March 2023 | November 2024 | Allow | 21 | 1 | 0 | No | No |
| 18169003 | NEURAL NETWORK ACCELERATOR ARCHITECTURE BASED ON CUSTOM INSTRUCTION AND DMA ON FPGA | February 2023 | September 2024 | Allow | 19 | 1 | 0 | No | No |
| 18107613 | Head Of Line Blocking Mitigation In A Reconfigurable Data Processor | February 2023 | September 2024 | Allow | 19 | 1 | 0 | Yes | No |
| 18006845 | NEURAL PROCESSING UNIT SYNCHRONIZATION SYSTEMS AND METHODS | January 2023 | September 2024 | Allow | 20 | 1 | 0 | No | No |
| 18006813 | PROCESSING INSTRUCTIONS SELECTED FROM A FIRST INSTRUCTION SET IN A FIRST PROCESSING MODE AND INSTRUCTIONS SELECTED FROM A SECOND DIFFERENT INSTRUCTION SET IN A SECOND PROCESSING MODE | January 2023 | September 2024 | Allow | 19 | 1 | 0 | Yes | No |
| 18099218 | Fracturable Data Path in a Reconfigurable Data Processor | January 2023 | August 2024 | Allow | 19 | 1 | 0 | Yes | No |
| 18156042 | System and Method for Instruction Unwinding in an Out-of-Order Processor | January 2023 | June 2025 | Allow | 28 | 3 | 0 | No | No |
| 18156237 | COMPUTER SYSTEM AND METHOD FOR VALIDATION OF PARALLELIZED COMPUTER PROGRAMS | January 2023 | November 2023 | Allow | 9 | 2 | 0 | No | No |
| 18005725 | SYSTEM AND METHOD FOR USING SPARSITY TO ACCELERATE DEEP LEARNING NETWORKS | January 2023 | September 2024 | Allow | 20 | 1 | 0 | Yes | No |
| 18004802 | BIT-PARALLEL VECTOR COMPOSABILITY FOR NEURAL ACCELERATION | January 2023 | January 2025 | Allow | 24 | 2 | 0 | Yes | No |
| 18151946 | System and Method for Low Latency Node Local Scheduling in Distributed Resource Management | January 2023 | June 2024 | Allow | 17 | 1 | 0 | No | No |
| 18149758 | SYSTEM, DEVICE AND/OR METHOD FOR PROCESSING SIGNAL STREAMS | January 2023 | August 2024 | Allow | 19 | 1 | 0 | No | No |
| 18092876 | NEURAL NETWORK ACTIVATION COMPRESSION WITH NON-UNIFORM MANTISSAS | January 2023 | September 2023 | Allow | 9 | 0 | 0 | Yes | No |
| 18090639 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM FOR PERFORMING INFERENCE PROCESSING USING AN INFERENCE MODEL | December 2022 | January 2025 | Allow | 24 | 2 | 0 | No | No |
| 18091157 | COMPUTER PROCESSOR FOR HIGHER PRECISION COMPUTATIONS USING A MIXED-PRECISION DECOMPOSITION OF OPERATIONS | December 2022 | September 2023 | Allow | 8 | 0 | 0 | No | No |
| 18083362 | Cluster-Based Placement and Routing of Memory Units and Compute Units in a Reconfigurable Computing Grid | December 2022 | July 2024 | Allow | 19 | 1 | 0 | Yes | No |
| 18064225 | DETERMINISTIC REPLAY OF A MULTI-THREADED TRACE ON A MULTI-THREADED PROCESSOR | December 2022 | March 2025 | Allow | 28 | 1 | 0 | No | No |
| 18070514 | CHIPLET SYSTEM AND POSITIONING METHOD THEREOF | November 2022 | March 2024 | Allow | 16 | 0 | 0 | No | No |
| 17994143 | Thread Creation on Local or Remote Compute Elements by a Multi-Threaded, Self-Scheduling Processor | November 2022 | April 2024 | Allow | 16 | 1 | 0 | No | No |
| 17989141 | Data Processing Method and Device, and Storage Medium | November 2022 | September 2024 | Abandon | 22 | 1 | 0 | No | No |
| 17989067 | MULTIBIT SHIFT INSTRUCTION | November 2022 | June 2024 | Allow | 19 | 1 | 0 | No | No |
| 18054376 | Multi-stage Thread Scheduling | November 2022 | September 2024 | Allow | 22 | 2 | 0 | Yes | No |
| 17982980 | MULTIBIT SHIFT INSTRUCTION | November 2022 | March 2024 | Abandon | 16 | 1 | 0 | No | No |
| 18050719 | DEVICES, METHODS, AND MEDIA FOR EFFICIENT DATA DEPENDENCY MANAGEMENT FOR IN-ORDER ISSUE PROCESSORS | October 2022 | April 2024 | Abandon | 17 | 1 | 0 | No | No |
| 17967444 | DIGITAL SIGNAL PROCESSOR (DSP) WITH GLOBAL AND LOCAL INTERCONNECT ARCHITECTURE AND RECONFIGURABLE HARDWARE ACCELERATOR CORE | October 2022 | February 2025 | Allow | 28 | 3 | 0 | No | No |
| 17965161 | SYNCHRONIZING SCHEDULING TASKS WITH ATOMIC ALU | October 2022 | October 2024 | Allow | 24 | 3 | 0 | No | No |
| 17964256 | TOPOLOGY OF ACCELERATORS | October 2022 | May 2024 | Allow | 19 | 1 | 0 | No | No |
| 17938024 | NEURAL PROCESSING DEVICE AND LOAD/STORE METHOD OF NEURAL PROCESSING DEVICE | October 2022 | August 2023 | Allow | 10 | 1 | 0 | No | No |
| 17952517 | LOOK-UP TABLE READ | September 2022 | November 2023 | Allow | 14 | 1 | 0 | Yes | No |
| 17949874 | SELECTIVE CONTROL FLOW PREDICTOR INSERTION | September 2022 | August 2024 | Allow | 22 | 2 | 0 | No | No |
| 17943385 | METHOD FOR SCHEDULING A SET OF COMPUTING TASKS IN A SUPERCOMPUTER | September 2022 | November 2023 | Allow | 14 | 0 | 0 | No | No |
| 17941404 | INPUT CHANNEL PROCESSING FOR TRIGGERED-INSTRUCTION PROCESSING ELEMENT | September 2022 | March 2024 | Allow | 18 | 1 | 0 | No | No |
| 17903057 | APPARATUS AND METHOD FOR PIPELINE CONTROL | September 2022 | March 2024 | Allow | 18 | 1 | 0 | No | No |
| 17893913 | PERFORMANCE ISLANDS FOR CPU CLUSTERS | August 2022 | January 2025 | Allow | 29 | 3 | 0 | Yes | No |
| 17887447 | COMPUTER-IMPLEMENTED SYSTEMS AND METHODS FOR SERIALISATION OF ARITHMETIC CIRCUITS | August 2022 | January 2025 | Allow | 30 | 2 | 0 | No | No |
| 17879281 | SINGLE CYCLE PREDICTOR | August 2022 | September 2023 | Allow | 14 | 0 | 0 | No | No |
| 17878427 | SYSTEMS AND METHODS TO SKIP INCONSEQUENTIAL MATRIX OPERATIONS | August 2022 | September 2023 | Allow | 14 | 1 | 0 | No | No |
| 17851468 | SYSTEMS AND METHODS FOR PERFORMING INSTRUCTIONS TO CONVERT TO 16-BIT FLOATING-POINT FORMAT | June 2022 | July 2024 | Allow | 24 | 2 | 0 | Yes | No |
| 17851266 | CONTROL FLOW PREDICTION USING POINTERS | June 2022 | January 2024 | Allow | 18 | 1 | 0 | No | No |
| 17849182 | DATA PROCESSING APPARATUS AND RELATED PRODUCTS WITH DESCRIPTOR MANAGEMENT | June 2022 | September 2023 | Allow | 14 | 1 | 0 | No | No |
| 17845103 | SYSTEMS AND METHODS FOR PERFORMING 16-BIT FLOATING-POINT VECTOR DOT PRODUCT INSTRUCTIONS | June 2022 | February 2024 | Allow | 20 | 2 | 0 | No | No |
| 17737537 | Encoding and Decoding Variable Length Instructions | May 2022 | August 2023 | Allow | 16 | 1 | 0 | No | No |
| 17661414 | NEURAL PROCESSING DEVICE AND METHOD FOR SYNCHRONIZATION THEREOF | April 2022 | January 2023 | Allow | 9 | 2 | 0 | No | No |
| 17724282 | COMMAND-AWARE HARDWARE ARCHITECTURE | April 2022 | November 2023 | Abandon | 19 | 1 | 0 | No | No |
| 17713744 | Pipelines for Secure Multithread Execution | April 2022 | September 2023 | Allow | 17 | 1 | 0 | Yes | No |
| 17712879 | COMPUTING RESOURCE MANAGEMENT WITH FAST SORTING USING VECTOR INSTRUCTIONS | April 2022 | November 2023 | Allow | 20 | 1 | 0 | Yes | No |
| 17705112 | Schedule Instructions of a Program of Data Flows for Execution in Tiles of a Coarse Grained Reconfigurable Array | March 2022 | March 2024 | Allow | 23 | 2 | 0 | Yes | No |
| 17703513 | DYNAMIC INSTRUMENTATION VIA USER-LEVEL MECHANISMS | March 2022 | September 2023 | Allow | 17 | 1 | 0 | Yes | No |
| 17656346 | DATA PROCESSORS | March 2022 | October 2024 | Allow | 31 | 4 | 0 | Yes | No |
| 17652109 | PADDING INPUT DATA FOR ARTIFICIAL INTELLIGENCE ACCELERATORS | February 2022 | May 2025 | Allow | 38 | 1 | 0 | No | No |
| 17550593 | MULTI-LEVEL HIERARCHICAL ROUTING MATRICES FOR PATTERN-RECOGNITION PROCESSORS | December 2021 | May 2023 | Allow | 17 | 1 | 0 | No | No |
| 17550572 | PROCESSOR WITH VARIABLE PRE-FETCH THRESHOLD | December 2021 | August 2023 | Allow | 20 | 1 | 0 | No | No |
| 17547668 | Reconfigurable Parallel Processing | December 2021 | December 2023 | Allow | 25 | 2 | 0 | Yes | No |
| 17530869 | VECTOR REDUCTIONS USING SHARED SCRATCHPAD MEMORY | November 2021 | November 2023 | Allow | 23 | 2 | 0 | Yes | No |
| 17522517 | OBSOLETING VALUES STORED IN REGISTERS IN A PROCESSOR BASED ON PROCESSING OBSOLESCENT REGISTER-ENCODED INSTRUCTIONS | November 2021 | August 2023 | Allow | 21 | 1 | 0 | Yes | No |
| 17489671 | DATA PROCESSING APPARATUS AND RELATED PRODUCTS | September 2021 | April 2022 | Allow | 7 | 1 | 0 | No | No |
| 17480117 | SM3 HASH ALGORITHM ACCELERATION PROCESSORS, METHODS, SYSTEMS, AND INSTRUCTIONS | September 2021 | June 2024 | Allow | 33 | 2 | 0 | No | No |
| 17447316 | PROCESSING CORES AND INFORMATION TRANSFER CIRCUITS ARRANGED IN MATRIX | September 2021 | March 2025 | Allow | 42 | 4 | 0 | No | No |
| 17467550 | STREAMING ENGINE WITH CACHE-LIKE STREAM DATA STORAGE AND LIFETIME TRACKING | September 2021 | March 2024 | Allow | 30 | 1 | 0 | No | No |
| 17465234 | ROBUST, EFFICIENT MULTIPROCESSOR-COPROCESSOR INTERFACE | September 2021 | December 2023 | Allow | 27 | 2 | 0 | Yes | No |
| 17431152 | NEURAL PROCESSING UNIT | August 2021 | January 2024 | Allow | 30 | 1 | 0 | No | No |
| 17397061 | MEMORY-BASED DISTRIBUTED PROCESSOR ARCHITECTURE | August 2021 | November 2023 | Allow | 27 | 2 | 0 | No | No |
| 17392550 | Event Messaging in a System Having a Self-Scheduling Processor and a Hybrid Threading Fabric | August 2021 | June 2023 | Allow | 23 | 1 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner METZGER, MICHAEL J.
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, 69.2% 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 METZGER, MICHAEL J works in Art Unit 2182 and has examined 313 patent applications in our dataset. With an allowance rate of 88.8%, this examiner has an above-average tendency to allow applications. Applications typically reach final disposition in approximately 30 months.
Examiner METZGER, MICHAEL J's allowance rate of 88.8% places them in the 70% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.
On average, applications examined by METZGER, MICHAEL J receive 2.20 office actions before reaching final disposition. This places the examiner in the 60% percentile for office actions issued. This examiner issues a slightly above-average number of office actions.
The median time to disposition (half-life) for applications examined by METZGER, MICHAEL J is 30 months. This places the examiner in the 59% percentile for prosecution speed. Prosecution timelines are slightly faster than average with this examiner.
Conducting an examiner interview provides a +9.0% benefit to allowance rate for applications examined by METZGER, MICHAEL J. This interview benefit is in the 40% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.
When applicants file an RCE with this examiner, 34.2% of applications are subsequently allowed. This success rate is in the 75% 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 51.4% of cases where such amendments are filed. This entry rate is in the 77% 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, 133.3% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 85% 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 84.6% of appeals filed. This is in the 78% percentile among all examiners. Of these withdrawals, 72.7% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner frequently reconsiders rejections during the appeal process compared to other examiners. Per MPEP § 1207.01, all appeals must go through a mandatory appeal conference. Filing a Notice of Appeal may prompt favorable reconsideration even before you file an Appeal Brief.
When applicants file petitions regarding this examiner's actions, 37.5% are granted (fully or in part). This grant rate is in the 26% 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 0.0% of allowed cases (in the 12% 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.