Prosecution Insights
Prosecution Insights
14 pending office actions • 11 art units • 14 examiners • 0 of 14 (0%) have an AI response strategy ready • 17 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 3 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. 3 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 | 7 (50%) |
| §101 + other | 4 (29%) |
| §103 only | 2 (14%) |
| §102 only | 1 (7%) |
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 |
|---|---|---|---|
| AHMED, MAHABUB S | 1 | 85.5% | +8.2% |
| KUNJITHAPATHAM, ANUGEETHA | 1 | 60.2% | +28.8% |
| WANG, CHAO | 1 | 81.1% | +85.7% |
| NGUYEN, NHAT HUY T | 1 | 53.6% | +23.4% |
| RYLANDER, BART I | 1 | 67.5% | +14.1% |
| SCHEUNEMANN, RICHARD N | 1 | 6.3% | +8.3% |
| LE, LINH GIANG | 1 | 66.0% | -4.9% |
| ALABI, OLUWATOSIN O | 1 | 60.6% | +22.4% |
| RUTTEN, JAMES D | 1 | 63.2% | +37.7% |
| MILLER, JAMES H | 1 | 39.3% | +34.8% |
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 |
|---|---|---|---|
| 19185882 | OVERLY OPTIMISTIC DATA PATTERNS AND LEARNED ADVERSARIAL LATENT FEATURES | AHMED, MAHABUB S | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 16681501 | Adaptive Fraud Detection | RINES, ROBERT D | 87d overdue |
| 17856648 | ADVANCED LEARNING SYSTEM FOR DETECTION AND PREVENTION OF MONEY LAUNDERING | MILLER, JAMES H | 19d overdue |
| 14796547 | MOBILE ATTRIBUTE TIME-SERIES PROFILING ANALYTICS | LIU, I JUNG | 63d |
| 19022899 | Enhanced Data Privacy Through Structure-Preserving Autoencoder with Latent Space Augmentation | WANG, CHAO | — |
| 18528379 | CONFIDENCE METRIC DRIVEN MODEL OUTPUTS MANAGEMENT BY ACCOUNTING FOR UNCERTAINTY IN INPUT ENTITIES | RYLANDER, BART I | — |
| 18509249 | AUTO-ENCODER ENHANCED SELF-DIAGNOSTIC COMPONENTS FOR MODEL MONITORING | SCHEUNEMANN, RICHARD N | — |
| 18371656 | METHOD AND SYSTEM FOR PREDICTING ADHERENCE TO A TREATMENT | LE, LINH GIANG | — |
| 18457877 | EXPLAINABLE MACHINE LEARNING CLASSIFIERS TRAINED ON PRIVACY-PRESERVING AGGREGATED DATA | ALABI, OLUWATOSIN O | — |
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 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17856648 | ADVANCED LEARNING SYSTEM FOR DETECTION AND PREVENTION OF MONEY LAUNDERING | MILLER, JAMES H | 19d overdue |
| 19070983 | RELATIONSHIP RETRIEVAL IN A PARTITIONED LIST OF RECORDS | KUNJITHAPATHAM, ANUGEETHA | — |
| 19022899 | Enhanced Data Privacy Through Structure-Preserving Autoencoder with Latent Space Augmentation | WANG, CHAO | — |
| 18391171 | METHOD AND SYSTEM FOR ENHANCING MACHINE LEARNING MODEL PERFORMANCE THROUGH DATA REWEIGHTING | NGUYEN, NHAT HUY T | — |
| 18528379 | CONFIDENCE METRIC DRIVEN MODEL OUTPUTS MANAGEMENT BY ACCOUNTING FOR UNCERTAINTY IN INPUT ENTITIES | RYLANDER, BART I | — |
| 18457877 | EXPLAINABLE MACHINE LEARNING CLASSIFIERS TRAINED ON PRIVACY-PRESERVING AGGREGATED DATA | ALABI, OLUWATOSIN O | — |
| 17972460 | DEVICES AND METHODS FOR EFFICIENT EXECUTION OF RULES USING PRE-COMPILED DIRECTED ACYCLIC GRAPHS | RUTTEN, JAMES D | — |
| Art Unit | Apps |
|---|---|
| 3694 | 2 |
| 2165 | 1 |
| 2439 | 1 |
| 2857 | 1 |
| 3624 | 1 |
| 3686 | 1 |
| 2129 | 1 |
| 2156 | 1 |
| 3625 | 1 |
| 3692 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19185882 | OVERLY OPTIMISTIC DATA PATTERNS AND LEARNED ADVERSARIAL LATENT FEATURES | AHMED, MAHABUB S | — | §103 | Non-Final OA | — | Pending | Apr 22, 2025 |
| 19070983 | RELATIONSHIP RETRIEVAL IN A PARTITIONED LIST OF RECORDS | KUNJITHAPATHAM, ANUGEETHA | 2165 | §103Other | Non-Final OA | — | Pending | Mar 05, 2025 |
| 19022899 | Enhanced Data Privacy Through Structure-Preserving Autoencoder with Latent Space Augmentation | WANG, CHAO | 2439 | §101§103Other | Non-Final OA | — | Pending | Jan 15, 2025 |
| 18391171 | METHOD AND SYSTEM FOR ENHANCING MACHINE LEARNING MODEL PERFORMANCE THROUGH DATA REWEIGHTING | NGUYEN, NHAT HUY T | — | §102 | Non-Final OA | — | Pending | Dec 20, 2023 |
| 18528379 | CONFIDENCE METRIC DRIVEN MODEL OUTPUTS MANAGEMENT BY ACCOUNTING FOR UNCERTAINTY IN INPUT ENTITIES | RYLANDER, BART I | 2857 | §101§103§112 | Non-Final OA | — | Pending | Dec 04, 2023 |
| 18509249 | AUTO-ENCODER ENHANCED SELF-DIAGNOSTIC COMPONENTS FOR MODEL MONITORING | SCHEUNEMANN, RICHARD N | 3624 | §101 | Final Rejection | — | Pending | Nov 14, 2023 |
| 18371656 | METHOD AND SYSTEM FOR PREDICTING ADHERENCE TO A TREATMENT | LE, LINH GIANG | 3686 | §101 | Final Rejection | — | Pending | Sep 22, 2023 |
| 18457877 | EXPLAINABLE MACHINE LEARNING CLASSIFIERS TRAINED ON PRIVACY-PRESERVING AGGREGATED DATA | ALABI, OLUWATOSIN O | 2129 | §101§103 | Non-Final OA | — | Pending | Aug 29, 2023 |
| 17972460 | DEVICES AND METHODS FOR EFFICIENT EXECUTION OF RULES USING PRE-COMPILED DIRECTED ACYCLIC GRAPHS | RUTTEN, JAMES D | 2156 | §101§112DP | Final Rejection | — | Pending | Oct 24, 2022 |
| 17856648 | ADVANCED LEARNING SYSTEM FOR DETECTION AND PREVENTION OF MONEY LAUNDERING | MILLER, JAMES H | 3694 | §101 | Final Rejection | 19d overdue | Pending | Jul 01, 2022 |
| 16908169 | RESPONSIBILITY ANALYTICS | SHAIKH, MOHAMMAD Z | 3694 | §101 | Final Rejection | — | Pending | Jun 22, 2020 |
| 16681501 | Adaptive Fraud Detection | RINES, ROBERT D | 3625 | §101 | Non-Final OA | 87d overdue | Pending | Nov 12, 2019 |
| 16225589 | COMPUTER-PROJECTED RISK ASSESSMENT USING VOLUNTARILY CONTRIBUTED INFORMATION | CHISM, STEVEN R | 3692 | §101 | Non-Final OA | — | Pending | Dec 19, 2018 |
| 14796547 | MOBILE ATTRIBUTE TIME-SERIES PROFILING ANALYTICS | LIU, I JUNG | 3695 | §101 | Non-Final OA | 63d | Pending | Jul 10, 2015 |
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