Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18438301 | INFERRING A DATASET SCHEMA FROM INPUT FILES | February 2024 | September 2024 | Allow | 7 | 1 | 0 | No | No |
| 18436824 | COMPUTER-IMPLEMENTED DATA PROCESSING METHOD, AND MEASUREMENT SYSTEM | February 2024 | June 2025 | Allow | 16 | 1 | 0 | Yes | No |
| 18428887 | SCHEMA SNAPSHOT ISOLATION ACCESS IN A RELATIONAL DATABASE | January 2024 | March 2025 | Allow | 14 | 2 | 0 | Yes | No |
| 18526182 | METHOD OF ASSESSING INPUT-OUTPUT DATASETS USING LOCAL COMPLEXITY VALUES AND ASSOCIATED DATA STRUCTURE | December 2023 | April 2025 | Allow | 16 | 1 | 0 | Yes | No |
| 18517557 | GENERATING SYNTHETIC TIME SERIES DATASETS HAVING ANOMALIES | November 2023 | March 2025 | Allow | 15 | 1 | 0 | Yes | No |
| 18478454 | SYSTEMS AND METHODS FOR DATA RETENTION WHILE MIGRATING OBJECTS AND OBJECT METADATA STORED IN OBJECT STORAGE ENVIRONMENTS MIGRATED ACROSS CLOUD ECOSYSTEMS | September 2023 | September 2024 | Allow | 11 | 2 | 0 | Yes | No |
| 18474381 | EMBEDDING BASED HETEROGENOUS DATASET EVALUATION | September 2023 | May 2025 | Allow | 20 | 2 | 0 | Yes | No |
| 18458408 | SYSTEM AND METHOD FOR MANAGING USER ACCESSIBILITY BASED ON DATA IN A DATA MANAGEMENT SYSTEM | August 2023 | February 2025 | Allow | 18 | 3 | 0 | Yes | No |
| 18458470 | SELF-ORGANIZING MODELING FOR TEXT DATA | August 2023 | February 2025 | Allow | 18 | 1 | 0 | Yes | No |
| 18458693 | CONTROL OF DELETING UNNECESSARY DATA FILES AFTER STORING GENERATED DATA FILES IN EXTERNAL STORAGE AREA | August 2023 | June 2025 | Allow | 21 | 2 | 0 | Yes | No |
| 18339283 | SYSTEMS AND METHODS FOR PROVIDING METADATA-RICH DATA TRANSFERS BASED ON LOGICAL DATA MODELS | June 2023 | May 2024 | Allow | 11 | 2 | 0 | Yes | No |
| 18212327 | ADJUSTABLE INVERTED INDEXES | June 2023 | October 2024 | Allow | 16 | 1 | 0 | Yes | No |
| 18302904 | Artificial Assistant System Notifications | April 2023 | February 2025 | Allow | 22 | 2 | 0 | Yes | No |
| 18044965 | METHOD AND APPARATUS FOR RETRIEVING AND ENUMERATING OBJECT METADATA IN DISTRIBUTED STORAGE SYSTEM | March 2023 | February 2024 | Allow | 11 | 2 | 0 | No | No |
| 18092329 | PRECOMPUTATION METHOD AND APPARATUS FOR CONTINUOUS ITERATIVE OPTIMIZATION | January 2023 | February 2025 | Abandon | 25 | 2 | 0 | No | No |
| 18092330 | DATA QUERY METHOD, DEVICE AND EQUIPMENT AND A STORAGE MEDIUM | January 2023 | October 2024 | Abandon | 21 | 0 | 1 | No | No |
| 17872541 | METHOD AND SYSTEM FOR GROUPING DATA SLICES BASED ON DATA FILE TYPES FOR DATA SLICE BACKUP GENERATION | July 2022 | June 2024 | Allow | 22 | 1 | 0 | No | No |
| 17872625 | SYSTEM AND METHOD FOR PARALLELIZATION BACKUP OF A FOLDER INCLUDING A LARGE SET OF FILES STORED IN A NETWORK ATTACHED STORAGE | July 2022 | June 2024 | Allow | 22 | 1 | 0 | No | No |
| 17872775 | QUERY PROCESSING METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM | July 2022 | February 2025 | Abandon | 30 | 2 | 0 | No | No |
| 17872596 | METHOD AND SYSTEM FOR GROUPING DATA SLICES BASED ON DATA CHANGE RATE FOR DATA SLICE BACKUP GENERATION | July 2022 | June 2024 | Allow | 22 | 1 | 0 | No | No |
| 17808358 | SEARCH METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM | June 2022 | July 2024 | Abandon | 25 | 1 | 0 | No | No |
| 17842230 | DATABASE QUERY PROCESSING WITH DATABASE CLIENTS | June 2022 | July 2024 | Allow | 25 | 2 | 0 | Yes | No |
| 17662274 | DATA MIGRATION IN A DISTRIBUTED FILE SYSTEM | May 2022 | August 2024 | Allow | 28 | 2 | 0 | Yes | Yes |
| 17710408 | SYSTEMS AND METHODS FOR SYNCHRONIZING DATABASE OPERATIONS WITH A DISTRIBUTED BLOCKCHAIN | March 2022 | February 2024 | Abandon | 22 | 2 | 0 | No | No |
| 17655721 | SYSTEM AND METHOD FOR KNOWLEDGE RETRIEVAL USING ONTOLOGY-BASED CONTEXT MATCHING | March 2022 | October 2023 | Allow | 19 | 1 | 0 | No | No |
| 17679937 | DATA BLOCKING FOR APPLICATION PLATFORMS | February 2022 | April 2024 | Allow | 25 | 2 | 0 | Yes | No |
| 17671046 | SCHEMA-DRIVEN DISTRIBUTED DATA PROCESSING | February 2022 | May 2025 | Allow | 39 | 5 | 0 | Yes | No |
| 17668440 | COLUMNAR STORAGE FORMAT FOR FAST TABLE UPDATES | February 2022 | October 2024 | Allow | 32 | 4 | 0 | No | No |
| 17592496 | Data Learning and Analytics Apparatuses, Methods and Systems | February 2022 | July 2024 | Allow | 29 | 2 | 0 | No | No |
| 17647781 | SYSTEM AND METHODS TO TUNE TELEMETRY COLLECTION USING BRIGHTNESS OF DATA | January 2022 | March 2025 | Allow | 38 | 5 | 0 | Yes | No |
| 17569071 | SYSTEM AND METHOD FOR DATA COMPRESSION AND DECOMPRESSION | January 2022 | August 2024 | Allow | 32 | 3 | 0 | Yes | No |
| 17493443 | Central Repository System with Customizable Subset Schema Design and Simplification Layer | October 2021 | March 2025 | Allow | 42 | 5 | 0 | Yes | No |
| 17482250 | CENTRALIZED METADATA REPOSITORY WITH RELEVANCY IDENTIFIERS | September 2021 | February 2025 | Allow | 41 | 2 | 0 | Yes | Yes |
| 17458591 | MECHANISMS FOR TRUNCATING TENANT DATA | August 2021 | February 2024 | Allow | 30 | 2 | 0 | Yes | No |
| 17396527 | SYNCHRONIZATION OF A DATABASE BY RESTORING COPIES OF CHANGED DATABASE OBJECTS | August 2021 | December 2023 | Abandon | 28 | 2 | 0 | Yes | No |
| 17391607 | SEMANTICS BASED DATA AND METADATA MAPPING | August 2021 | June 2024 | Allow | 35 | 3 | 0 | Yes | No |
| 17443898 | METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR IMPROVING NETWORK DATABASE FUNCTIONALITIES | July 2021 | October 2024 | Abandon | 38 | 3 | 0 | No | No |
| 17382344 | Granular Data Migration | July 2021 | November 2023 | Allow | 28 | 2 | 0 | No | No |
| 17423875 | Parallel data access method and system for massive remote-sensing images | July 2021 | November 2023 | Allow | 28 | 2 | 0 | No | No |
| 17370163 | SYSTEM AND METHOD FOR RECONCILIATION OF DATA IN MULTIPLE SYSTEMS USING PERMUTATION MATCHING | July 2021 | December 2024 | Allow | 41 | 5 | 0 | Yes | No |
| 17364814 | METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR FILE ANNOTATION | June 2021 | August 2023 | Allow | 25 | 1 | 0 | Yes | No |
| 17338228 | DATA EXPANSE USING MEMORY-MAPPED FILES ON A SYSTEM ARCHITECTURE INTERFACE LAYER-BASED MAINFRAME OPERATING SYSTEM | June 2021 | June 2023 | Abandon | 24 | 1 | 0 | No | No |
| 17331435 | SYSTEMS AND METHODS FOR CONNECTING APPLICATIONS BASED ON EXCHANGED INFORMATION | May 2021 | November 2024 | Allow | 41 | 5 | 0 | No | No |
| 17176507 | CONFIGURABLE MONITORING AND ALERTING SYSTEM | February 2021 | September 2024 | Allow | 43 | 4 | 0 | Yes | No |
| 17168828 | METHODS, SYSTEMS, AND APPARATUSES FOR IMPROVED DATA MANAGEMENT | February 2021 | June 2025 | Allow | 52 | 5 | 0 | Yes | No |
| 17133887 | TECHNIQUE FOR GENERATING VIEWS OF ARCHIVED BUSINESS DATA | December 2020 | February 2024 | Abandon | 37 | 2 | 0 | Yes | Yes |
| 15734827 | Method and Computerized Device for Performing a Range Search in Numeric Time-Series Data | December 2020 | May 2024 | Abandon | 42 | 6 | 0 | Yes | No |
| 17110435 | METADATA BASED MAPPING ASSIST | December 2020 | February 2025 | Allow | 50 | 5 | 0 | Yes | No |
| 17100437 | IDENTIFYING USERS OF INTEREST VIA ELECTRONIC MAIL AND SECONDARY DATA ANALYSIS | November 2020 | February 2024 | Abandon | 39 | 3 | 0 | No | No |
| 16952622 | SYSTEMS AND METHODS TO FACILITATE TEXT CONTENT SEARCH | November 2020 | June 2022 | Abandon | 19 | 1 | 0 | No | No |
| 16950086 | SYSTEMS AND METHODS OF DATABASE TENANT MIGRATION | November 2020 | August 2023 | Allow | 32 | 4 | 0 | Yes | No |
| 17043290 | INFORMATION PROCESSING APPARATUS, DATA MANAGEMENT SYSTEM, DATA MANAGEMENT METHOD, AND NON-TEMPORARY COMPUTER READABLE MEDIUM INCLUDING DATA MANAGEMENT PROGRAM | September 2020 | May 2024 | Abandon | 44 | 2 | 0 | Yes | No |
| 17023020 | SYSTEMS AND METHODS FOR SYNCHRONIZING DATABASE OPERATIONS WITH A DISTRIBUTED BLOCKCHAIN | September 2020 | March 2022 | Allow | 17 | 1 | 0 | No | No |
| 17011826 | DATA ANALYTICS PLATFORM USING CONFIGURABLE FLOW SPECIFICATIONS | September 2020 | April 2024 | Allow | 43 | 4 | 0 | No | No |
| 17011847 | MULTI-TENANCY DATA ANALYTICS PLATFORM | September 2020 | September 2024 | Allow | 48 | 5 | 0 | Yes | No |
| 17005863 | EXTENDED CACHING AND QUERY-TIME VALIDATION | August 2020 | May 2023 | Allow | 33 | 2 | 0 | Yes | No |
| 17002563 | BROAD MATCH CONTROL | August 2020 | January 2023 | Abandon | 28 | 2 | 0 | No | No |
| 16944549 | TECHNIQUES FOR CROSS-VALIDATING METADATA PAGES | July 2020 | March 2023 | Allow | 32 | 2 | 0 | No | No |
| 16930251 | HASH-BASED MEDIA SEARCH | July 2020 | June 2023 | Abandon | 35 | 2 | 0 | No | No |
| 16922213 | CREATING ACCESSIBLE MODEL DATA SETS | July 2020 | February 2025 | Allow | 55 | 9 | 0 | Yes | No |
| 16901950 | GENEALOGICAL TREE TRACING AND STORY GENERATION | June 2020 | March 2023 | Abandon | 33 | 3 | 0 | Yes | No |
| 16896965 | DATASET INTEGRATION FOR A COMPUTING PLATFORM | June 2020 | July 2024 | Abandon | 49 | 3 | 0 | Yes | No |
| 16895447 | QUERYING MULTI-DIMENSIONAL TIME SERIES DATA SETS | June 2020 | November 2024 | Allow | 53 | 7 | 0 | Yes | No |
| 16885065 | METHODS, SYSTEMS, AND APPARATUSES FOR IMPROVED DATA MANAGEMENT | May 2020 | June 2025 | Allow | 60 | 7 | 0 | Yes | No |
| 16858643 | REFERENCE DISTANCE SIMILARITY SEARCH | April 2020 | October 2024 | Allow | 53 | 5 | 0 | Yes | No |
| 16850376 | METHOD AND APPARATUS FOR APPLICATION OF AN N-DIMENSIONAL HYPERCUBE DATATYPE | April 2020 | August 2022 | Allow | 28 | 2 | 0 | Yes | No |
| 16803943 | METHOD AND DEVICE FOR EVALUATING COMMENT QUALITY, AND COMPUTER READABLE STORAGE MEDIUM | February 2020 | June 2023 | Allow | 40 | 3 | 0 | Yes | No |
| 16801860 | Cognitive Process Lifecycle | February 2020 | June 2023 | Abandon | 39 | 3 | 0 | No | No |
| 16793428 | ELECTRONIC DEVICE AND METHOD FOR MANAGING DATABASE | February 2020 | March 2024 | Abandon | 49 | 3 | 0 | No | No |
| 16748351 | INFERRING A DATASET SCHEMA FROM INPUT FILES | January 2020 | September 2023 | Allow | 44 | 3 | 0 | Yes | No |
| 16726059 | METHOD AND MECHANISM FOR EFFICIENT RE-DISTRIBUTION OF IN-MEMORY COLUMNAR UNITS IN A CLUSTERED RDBMS ON TOPOLOGY CHANGE | December 2019 | December 2022 | Allow | 35 | 2 | 0 | Yes | Yes |
| 16710994 | Handling of Point Of Interest (POI) Data Content | December 2019 | December 2022 | Allow | 36 | 2 | 0 | Yes | No |
| 16700735 | FILE SYSTEM CONSISTENCY IN A DISTRIBUTED SYSTEM USING VERSION VECTORS | December 2019 | June 2023 | Allow | 42 | 4 | 0 | Yes | No |
| 16690069 | UNIVERSAL DATA INDEX FOR RAPID DATA EXPLORATION | November 2019 | February 2025 | Abandon | 60 | 6 | 0 | Yes | Yes |
| 16600517 | MATCHING OF MULTIPLE SIDES WITH MULTIPLE LEVELS OF MIXED CREDIBILITY ATTRIBUTES | October 2019 | December 2022 | Allow | 38 | 4 | 0 | Yes | No |
| 16597851 | FIELD EMPLOYEE SHIFT MONITORING AND TRANSPORTATION LOAD TRACKING WITH A MARKUP LANGUAGE GEOLOCATION METHOD | October 2019 | September 2023 | Abandon | 47 | 3 | 0 | No | No |
| 16564425 | INCREMENTAL DATA RETRIEVAL BASED ON STRUCTURAL METADATA | September 2019 | June 2024 | Allow | 57 | 6 | 0 | Yes | No |
| 16486523 | METHOD AND APPARATUS OF MACHINE LEARNING USING A NETWORK WITH SOFTWARE AGENTS AT THE NETWORK NODES AND THEN RANKING NETWORK NODES | August 2019 | May 2023 | Allow | 45 | 5 | 0 | No | Yes |
| 16526812 | REDUCING COMPLEXITY OF IMPLEMENTING MACHINE LEARNING MODELS IN SOFTWARE SYSTEMS | July 2019 | October 2023 | Allow | 50 | 3 | 0 | No | No |
| 16480309 | SCIENTIFIC COMPUTING PROCESS MANAGEMENT SYSTEM | July 2019 | August 2020 | Allow | 13 | 1 | 0 | Yes | No |
| 16401374 | File Attribute for Source Inspection | May 2019 | October 2024 | Abandon | 60 | 8 | 0 | Yes | Yes |
| 16399380 | METHOD AND COMPUTING SYSTEM FOR SORTING POSITION-DEPENDENT DATA ARRAYS | April 2019 | September 2022 | Abandon | 41 | 2 | 0 | No | No |
| 16292509 | APPARATUS AND METHOD TO ISOLATE VECTORS IN AN ARBITRARILY LARGE N-SPACE | March 2019 | May 2024 | Abandon | 60 | 6 | 0 | Yes | No |
| 16287655 | SYSTEMS AND METHODS FOR IMPORTING SOFTWARE LICENSE METRIC DATA INTO A CONFIGURATION MANAGEMENT DATABASE (CMDB) | February 2019 | July 2022 | Allow | 41 | 3 | 0 | Yes | No |
| 16278950 | SYSTEMS AND METHODS FOR SYNCHRONIZING DATABASE OPERATIONS WITH A DISTRIBUTED BLOCKCHAIN | February 2019 | August 2020 | Allow | 18 | 3 | 0 | Yes | No |
| 16246641 | METHODS, CIRCUITS, AND ARTICLES OF MANUFACTURE FOR FREQUENT SUB-TREE MINING USING NON-DETERMINISTIC FINITE STATE MACHINES | January 2019 | January 2022 | Allow | 36 | 2 | 0 | Yes | No |
| 16244447 | SEMANTIC QUERIES BASED ON SEMANTIC REPRESENTATION OF PROGRAMS AND DATA SOURCE ONTOLOGIES | January 2019 | September 2022 | Allow | 44 | 4 | 0 | Yes | No |
| 16241644 | Artificial Assistant System Notifications | January 2019 | January 2023 | Allow | 49 | 4 | 0 | Yes | Yes |
| 16239613 | INFERRING LOCATION ATTRIBUTES FROM DATA ENTRIES | January 2019 | May 2023 | Allow | 52 | 4 | 0 | Yes | No |
| 16224915 | CONTEXT ENRICHED DATA FOR MACHINE LEARNING MODEL | December 2018 | May 2024 | Abandon | 60 | 7 | 0 | Yes | No |
| 16223328 | GRAPH CREATION FROM MULTIPLE DATABASES | December 2018 | December 2024 | Allow | 60 | 5 | 0 | No | Yes |
| 16220044 | AUTOMATED SUMMARIZED VIEW OF MULTI-DIMENSIONAL OBJECT IN ENTERPRISE DATA WAREHOUSING SYSTEMS | December 2018 | August 2022 | Abandon | 44 | 4 | 0 | No | No |
| 16210984 | INFERRING A DATASET SCHEMA FROM INPUT FILES | December 2018 | September 2019 | Allow | 9 | 0 | 0 | Yes | No |
| 16200284 | Automated Data Source Join Proposals Based on Process Relations | November 2018 | September 2022 | Abandon | 46 | 5 | 0 | Yes | No |
| 16199059 | Individualized Telemetry Processing Leveraging Digital Twins Property(ies) and Topological Metadata | November 2018 | July 2023 | Allow | 56 | 5 | 0 | Yes | Yes |
| 16188210 | COMPUTING FEATURES OF STRUCTURED DATA | November 2018 | September 2020 | Allow | 22 | 2 | 0 | Yes | No |
| 16114702 | DATA PRESENTATION AND MODIFICATION | August 2018 | June 2021 | Allow | 33 | 2 | 0 | No | No |
| 16109822 | SOURCE CODE SEARCH ENGINE | August 2018 | September 2019 | Allow | 13 | 0 | 0 | Yes | No |
| 16057440 | TECHNIQUES FOR TRAINING MACHINE LEARNING MODELS USING ACTOR DATA | August 2018 | March 2024 | Allow | 60 | 9 | 0 | Yes | No |
| 16057560 | TRACKING DATA AVAILABILITY USING HEARTBEATS | August 2018 | October 2023 | Allow | 60 | 8 | 0 | Yes | Yes |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner BARTLETT, WILLIAM P.
With a 57.1% reversal rate, the PTAB has reversed the examiner's rejections more often than affirming them. This reversal rate is in the top 25% across the USPTO, indicating that appeals are more successful here than in most other areas.
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, 54.2% 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 BARTLETT, WILLIAM P works in Art Unit 2169 and has examined 205 patent applications in our dataset. With an allowance rate of 58.0%, this examiner allows applications at a lower rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 41 months.
Examiner BARTLETT, WILLIAM P's allowance rate of 58.0% places them in the 12% percentile among all USPTO examiners. This examiner is less likely to allow applications than most examiners at the USPTO.
On average, applications examined by BARTLETT, WILLIAM P receive 3.53 office actions before reaching final disposition. This places the examiner in the 99% percentile for office actions issued. This examiner issues more office actions than most examiners, which may indicate thorough examination or difficulty in reaching agreement with applicants.
The median time to disposition (half-life) for applications examined by BARTLETT, WILLIAM P is 41 months. This places the examiner in the 6% percentile for prosecution speed. Applications take longer to reach final disposition with this examiner compared to most others.
Conducting an examiner interview provides a +35.1% benefit to allowance rate for applications examined by BARTLETT, WILLIAM P. This interview benefit is in the 86% 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, 17.2% of applications are subsequently allowed. This success rate is in the 8% percentile among all examiners. Strategic Insight: RCEs show lower effectiveness with this examiner compared to others. Consider whether a continuation application might be more strategic, especially if you need to add new matter or significantly broaden claims.
This examiner enters after-final amendments leading to allowance in 11.0% of cases where such amendments are filed. This entry rate is in the 6% percentile among all examiners. Strategic Recommendation: This examiner rarely enters after-final amendments compared to other examiners. You should generally plan to file an RCE or appeal rather than relying on after-final amendment entry. Per MPEP § 714.12, primary examiners have discretion in entering after-final amendments, and this examiner exercises that discretion conservatively.
When applicants request a pre-appeal conference (PAC) with this examiner, 107.7% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 77% 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 70.8% of appeals filed. This is in the 53% percentile among all examiners. Of these withdrawals, 41.2% 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, 37.5% are granted (fully or in part). This grant rate is in the 34% 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 10% 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 12% 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.