Prosecution Insights
Prosecution Insights
13 pending office actions • 12 art units • 13 examiners • 0 of 13 (0%) have an AI response strategy ready • 24 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 13 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 13 of the docket's apps have a known mailing date.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 only | 2 (15%) |
| §103 only | 10 (77%) |
| §112 only | 1 (8%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| TONG, JUSTIN CHE-CHUN | 1 | 37.0% | +38.3% |
| BLACK, LINH | 1 | 50.6% | +12.0% |
| GIULIANI, GIUSEPPI J | 1 | 58.5% | +6.4% |
| ANYA, CHARLES E | 1 | 81.7% | +33.3% |
| WONG, WILLIAM | 1 | 30.2% | +26.9% |
| MAHARAJ, DEVIKA S | 1 | 53.8% | +11.3% |
| COLUCCI, MICHAEL C | 1 | 75.9% | +15.2% |
| VASQUEZ, MARKUS A | 1 | 50.0% | +31.4% |
| MARU, MATIYAS T | 1 | 62.2% | +7.5% |
| BUI, TOAN D. | 1 | 59.4% | +44.1% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18348970 | TECHNIQUES FOR MITIGATING BACK PRESSURE, AUTO-SCALING THROUGHPUT, AND CONCURRENCY SCALING IN LARGE-SCALE AUTOMATED EVENT-DRIVEN DATA PIPELINES | ANYA, CHARLES E | 12d |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17455015 | BAYESIAN MODELING FOR RISK ASSESSMENT BASED ON INTEGRATING INFORMATION FROM DYNAMIC DATA SOURCES | HADDAD, MAJD MAHER | 26d |
| 17930970 | ENTITY PROFILE FOR ACCESS CONTROL | BUI, TOAN D. | 54d |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18006384 | MACHINE-LEARNING TECHNIQUES FOR FACTOR-LEVEL MONOTONIC NEURAL NETWORKS | VASQUEZ, MARKUS A | 161d overdue |
| 18306103 | MULTI-STAGE MACHINE-LEARNING TECHNIQUES FOR RISK ASSESSMENT | MAHARAJ, DEVIKA S | 49d overdue |
| 18194982 | APPLYING NATURAL LANGUAGE PROCESSING (NLP) TECHNIQUES TO TIME SERIES DATA TO DERIVE ATTRIBUTES FOR USE WITH A MACHINE-LEARNING MODEL | COLUCCI, MICHAEL C | 9d overdue |
| 18644810 | SECURE RESOURCE MANAGEMENT TO PREVENT RESOURCE ABUSE | TONG, JUSTIN CHE-CHUN | 8d |
| 18348970 | TECHNIQUES FOR MITIGATING BACK PRESSURE, AUTO-SCALING THROUGHPUT, AND CONCURRENCY SCALING IN LARGE-SCALE AUTOMATED EVENT-DRIVEN DATA PIPELINES | ANYA, CHARLES E | 12d |
| 18252660 | EXPLAINABLE MACHINE-LEARNING MODELING USING WAVELET PREDICTOR VARIABLE DATA | WONG, WILLIAM | 23d |
| 18700779 | RECORDS MATCHING TECHNIQUES FOR FACILITATING DATABASE SEARCH AND FRAGMENTED RECORD DETECTION | BLACK, LINH | 28d |
| 17930970 | ENTITY PROFILE FOR ACCESS CONTROL | BUI, TOAN D. | 54d |
| Art Unit | Apps |
|---|---|
| 2147 | 2 |
| 2196 | 1 |
| 2163 | 1 |
| 2153 | 1 |
| 2194 | 1 |
| 2144 | 1 |
| 2123 | 1 |
| 2655 | 1 |
| 2121 | 1 |
| 2148 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18644810 | SECURE RESOURCE MANAGEMENT TO PREVENT RESOURCE ABUSE | TONG, JUSTIN CHE-CHUN | 2196 | §103 | Non-Final OA | 8d | Pending | Apr 24, 2024 |
| 18700779 | RECORDS MATCHING TECHNIQUES FOR FACILITATING DATABASE SEARCH AND FRAGMENTED RECORD DETECTION | BLACK, LINH | 2163 | §103 | Final Rejection | 28d | Pending | Apr 12, 2024 |
| 18700775 | RECORDS MATCHING TECHNIQUES FOR FACILITATING DATABASE SEARCH AND FRAGMENTED RECORD DETECTION | GIULIANI, GIUSEPPI J | 2153 | §103 | Non-Final OA | 8d overdue | Pending | Apr 12, 2024 |
| 18348970 | TECHNIQUES FOR MITIGATING BACK PRESSURE, AUTO-SCALING THROUGHPUT, AND CONCURRENCY SCALING IN LARGE-SCALE AUTOMATED EVENT-DRIVEN DATA PIPELINES | ANYA, CHARLES E | 2194 | §103 | Non-Final OA | 12d | Pending | Jul 07, 2023 |
| 18252660 | EXPLAINABLE MACHINE-LEARNING MODELING USING WAVELET PREDICTOR VARIABLE DATA | WONG, WILLIAM | 2144 | §103 | Non-Final OA | 23d | Pending | May 11, 2023 |
| 18306103 | MULTI-STAGE MACHINE-LEARNING TECHNIQUES FOR RISK ASSESSMENT | MAHARAJ, DEVIKA S | 2123 | §112 | Non-Final OA | 49d overdue | Pending | Apr 24, 2023 |
| 18194982 | APPLYING NATURAL LANGUAGE PROCESSING (NLP) TECHNIQUES TO TIME SERIES DATA TO DERIVE ATTRIBUTES FOR USE WITH A MACHINE-LEARNING MODEL | COLUCCI, MICHAEL C | 2655 | §103 | Non-Final OA | 9d overdue | Pending | Apr 03, 2023 |
| 18006384 | MACHINE-LEARNING TECHNIQUES FOR FACTOR-LEVEL MONOTONIC NEURAL NETWORKS | VASQUEZ, MARKUS A | 2121 | §103 | Non-Final OA | 161d overdue | Pending | Jan 20, 2023 |
| 18147967 | TECHNIQUES FOR EVALUATING AN EFFECT OF CHANGES TO MACHINE LEARNING MODELS | MARU, MATIYAS T | 2148 | §103 | Final Rejection | 22d | Pending | Dec 29, 2022 |
| 17930970 | ENTITY PROFILE FOR ACCESS CONTROL | BUI, TOAN D. | 3693 | §101 | Final Rejection | 54d | Pending | Sep 09, 2022 |
| 17645517 | MACHINE-LEARNING TECHNIQUES FOR TIME-DELAY NEURAL NETWORKS | LEY, SALLY THI | 2147 | §103 | Non-Final OA | 13d | Pending | Dec 22, 2021 |
| 17645744 | UNIFIED EXPLAINABLE MACHINE LEARNING FOR SEGMENTED RISK ASSESSMENT | ROHD, BENJAMIN MATTHEW | 2147 | §103 | Non-Final OA | 27d | Pending | Dec 22, 2021 |
| 17455015 | BAYESIAN MODELING FOR RISK ASSESSMENT BASED ON INTEGRATING INFORMATION FROM DYNAMIC DATA SOURCES | HADDAD, MAJD MAHER | 2125 | §101 | Non-Final OA | 26d | Pending | Nov 15, 2021 |
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