Prosecution Insights
Prosecution Insights
15 pending office actions • 12 art units • 14 examiners • 0 of 15 (0%) have an AI response strategy ready • 8 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 15 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. 15 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 (13%) |
| §103 only | 10 (67%) |
| §112 only | 1 (7%) |
| No statute on record | 2 (13%) |
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 |
|---|---|---|---|
| BUNKER, WILLIAM B | 2 | 79.6% | +94.7% |
| WASAFF, JOHN S. | 1 | 33.4% | +43.6% |
| YEN, ERIC L | 1 | 85.1% | +11.6% |
| LAM, PHILIP HUNG FAI | 1 | 83.9% | +47.7% |
| BARRETT, RYAN S | 1 | 64.6% | +43.2% |
| NGUYEN, HENRY K | 1 | 57.5% | +30.7% |
| HAN, BYUNGKWON | 1 | 0.0% | +0.0% |
| NGUYEN, LIZ P | 1 | 61.1% | +6.7% |
| HASBROUCK, MERRITT J | 1 | 10.5% | +8.0% |
| ALABI, OLUWATOSIN O | 1 | 59.8% | +22.6% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18645563 | SYSTEM AND METHOD FOR INTELLIGENT EVALUATION OF ARTIFICIAL INTELLIGENCE GENERATED TEXTS | YEN, ERIC L | 98d overdue |
| 18584720 | PRECISION EVALUATION SYSTEM FOR ARTIFICIAL INTELLIGENCE GENERATED TEXT SUMMARIES | LAM, PHILIP HUNG FAI | 87d overdue |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18075445 | COMPUTERIZED-METHOD AND COMPUTERIZED-SYSTEM FOR GENERATING A CLASSIFICATION MACHINE LEARNING MODEL FOR IMPLEMENTATION WITH NO TRAINING REQUIREMENT | HASBROUCK, MERRITT J | 70d overdue |
| 18079910 | COMPUTERIZED-METHOD AND COMPUTERIZED-SYSTEM FOR IDENTIFYING FRAUD TRANSACTIONS IN TRANSACTIONS CLASSIFIED AS LEGIT TRANSACTIONS BY A CLASSIFICATION MACHINE LEARNING MODEL | NGUYEN, LIZ P | 21d |
| 18149451 | SYSTEM AND METHOD FOR TRAINING A MACHINE LEARNING NETWORK | HAN, BYUNGKWON | 76d |
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 |
|---|---|---|---|
| 18645563 | SYSTEM AND METHOD FOR INTELLIGENT EVALUATION OF ARTIFICIAL INTELLIGENCE GENERATED TEXTS | YEN, ERIC L | 98d overdue |
| 18584720 | PRECISION EVALUATION SYSTEM FOR ARTIFICIAL INTELLIGENCE GENERATED TEXT SUMMARIES | LAM, PHILIP HUNG FAI | 87d overdue |
| 18629309 | MONEY MULE DETECTION USING LINK PREDICTION | BUNKER, WILLIAM B | 78d overdue |
| 17831159 | LTP-INDUCED ONLINE INCREMENTAL DEEP LEARNING | ALABI, OLUWATOSIN O | 15d overdue |
| 18630468 | FRAUD ANALYSIS USING MACHINE LEARNING AND GENERATIVE ARTIFICIAL INTELLIGENCE | BUNKER, WILLIAM B | 8d overdue |
| 18758683 | SYSTEM AND METHOD FOR DETERMINING TRUST INDICATORS | WASAFF, JOHN S. | 7d |
| 18322100 | SYSTEMS AND METHODS FOR PROGRAMMATICALLY GENERATING DECISION RULES FOR ALERT DETECTION ENGINES USING MACHINE LEARNING OPERATIONS | NGUYEN, HENRY K | 62d |
| 18356346 | AUTOMATED RULE CREATION FOR FRAUD DETECTION USING A MACHINE LEARNING-DRIVEN COMPUTING FRAMEWORK | BARRETT, RYAN S | 79d |
| Art Unit | Apps |
|---|---|
| 2121 | 3 |
| 3691 | 2 |
| 3629 | 1 |
| 2658 | 1 |
| 2656 | 1 |
| 2148 | 1 |
| 3696 | 1 |
| 3695 | 1 |
| 2129 | 1 |
| 2156 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18758683 | SYSTEM AND METHOD FOR DETERMINING TRUST INDICATORS | WASAFF, JOHN S. | 3629 | §103 | Final Rejection | 7d | Pending | Jun 28, 2024 |
| 18645563 | SYSTEM AND METHOD FOR INTELLIGENT EVALUATION OF ARTIFICIAL INTELLIGENCE GENERATED TEXTS | YEN, ERIC L | 2658 | §112 | Non-Final OA | 98d overdue | Pending | Apr 25, 2024 |
| 18630468 | FRAUD ANALYSIS USING MACHINE LEARNING AND GENERATIVE ARTIFICIAL INTELLIGENCE | BUNKER, WILLIAM B | 3691 | — | Final Rejection | 8d overdue | Pending | Apr 09, 2024 |
| 18629309 | MONEY MULE DETECTION USING LINK PREDICTION | BUNKER, WILLIAM B | 3691 | §103 | Final Rejection | 78d overdue | Pending | Apr 08, 2024 |
| 18584720 | PRECISION EVALUATION SYSTEM FOR ARTIFICIAL INTELLIGENCE GENERATED TEXT SUMMARIES | LAM, PHILIP HUNG FAI | 2656 | §103 | Non-Final OA | 87d overdue | Pending | Feb 22, 2024 |
| 18356346 | AUTOMATED RULE CREATION FOR FRAUD DETECTION USING A MACHINE LEARNING-DRIVEN COMPUTING FRAMEWORK | BARRETT, RYAN S | 2148 | Other | Non-Final OA | 79d | Pending | Jul 21, 2023 |
| 18322100 | SYSTEMS AND METHODS FOR PROGRAMMATICALLY GENERATING DECISION RULES FOR ALERT DETECTION ENGINES USING MACHINE LEARNING OPERATIONS | NGUYEN, HENRY K | 2121 | §103 | Non-Final OA | 62d | Pending | May 23, 2023 |
| 18149451 | SYSTEM AND METHOD FOR TRAINING A MACHINE LEARNING NETWORK | HAN, BYUNGKWON | 2121 | §103 | Final Rejection | 76d | Pending | Jan 03, 2023 |
| 18079910 | COMPUTERIZED-METHOD AND COMPUTERIZED-SYSTEM FOR IDENTIFYING FRAUD TRANSACTIONS IN TRANSACTIONS CLASSIFIED AS LEGIT TRANSACTIONS BY A CLASSIFICATION MACHINE LEARNING MODEL | NGUYEN, LIZ P | 3696 | §101 | Final Rejection | 21d | Pending | Dec 13, 2022 |
| 18075445 | COMPUTERIZED-METHOD AND COMPUTERIZED-SYSTEM FOR GENERATING A CLASSIFICATION MACHINE LEARNING MODEL FOR IMPLEMENTATION WITH NO TRAINING REQUIREMENT | HASBROUCK, MERRITT J | 3695 | §101 | Final Rejection | 70d overdue | Pending | Dec 06, 2022 |
| 17831159 | LTP-INDUCED ONLINE INCREMENTAL DEEP LEARNING | ALABI, OLUWATOSIN O | 2129 | §103 | Non-Final OA | 15d overdue | Pending | Jun 02, 2022 |
| 17735137 | SYSTEM AND METHOD FOR REDUCING DATA INCONSISTENCY AFTER PURGING CLIENT RECORDS, IN FINANCIAL INSTITUTE (FI) DATABASES, WHEN EXCEEDING RETENTION PERIOD | OBISESAN, AUGUSTINE KUNLE | 2156 | §103 | Final Rejection | 114d overdue | Pending | May 03, 2022 |
| 17678443 | UNSUPERVISED CLUSTERED EXPLANATION-BASED FEATURE SELECTION USING TRANSFER LEARNING FOR LOW FRAUD SCENARIO | PHAKOUSONH, DARAVANH | 2121 | §103 | Final Rejection | 33d | Pending | Feb 23, 2022 |
| 17585744 | SYSTEMS AND METHODS FOR AUTOMATICALLY CREATING MACHINE LEARNED FRAUD DETECTION MODELS | MEYER, JACQUELINE CHRISTINE | 2144 | §103 | Non-Final OA | 72d | Pending | Jan 27, 2022 |
| 17494176 | TRAINING A MACHINE LEARNING MODEL USING INCREMENTAL LEARNING WITHOUT FORGETTING | MILLER, ALEXANDRIA JOSEPHINE | 2142 | §103 | Final Rejection | 8d | Pending | Oct 05, 2021 |
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