Prosecution Insights
Prosecution Insights
15 pending office actions • 11 art units • 14 examiners • 0 of 15 (0%) have an AI response strategy ready • 13 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 8 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. 8 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 | 5 (33%) |
| §101 + other | 4 (27%) |
| §103 only | 4 (27%) |
| §112 only | 1 (7%) |
| Multi-statute (no §101) | 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 |
|---|---|---|---|
| BUNKER, WILLIAM B | 2 | 79.8% | +94.8% |
| WASAFF, JOHN S. | 1 | 34.0% | +44.5% |
| WEISBERGER, RICHARD C | 1 | 47.6% | -4.3% |
| OYEBISI, OJO O | 1 | 50.2% | +11.9% |
| SHAH, BHAVIN D | 1 | 41.2% | +24.9% |
| ACOSTA, RILEY SULLIVAN | 1 | — | — |
| SCHMIEDER, NICOLE A K | 1 | 67.8% | +33.6% |
| BARRETT, RYAN S | 1 | 65.1% | +42.1% |
| NGUYEN, HENRY K | 1 | 58.0% | +31.3% |
| NGUYEN, LIZ P | 1 | 61.1% | +6.0% |
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 |
|---|---|---|---|
| 18075445 | COMPUTERIZED-METHOD AND COMPUTERIZED-SYSTEM FOR GENERATING A CLASSIFICATION MACHINE LEARNING MODEL FOR IMPLEMENTATION WITH NO TRAINING REQUIREMENT | HASBROUCK, MERRITT J | 70d overdue |
| 18758683 | SYSTEM AND METHOD FOR DETERMINING TRUST INDICATORS | WASAFF, JOHN S. | 7d |
| 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 |
| 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 |
| 18752248 | SMART PEER GROUPING OF BANK CUSTOMERS USING FUZZY K-MODE | WEISBERGER, RICHARD C | — |
| 18664885 | SYSTEM AND METHOD FOR IDENTIFYING DATA CONNECTIONS | OYEBISI, OJO O | — |
| 18665327 | SYSTEM AND METHOD FOR EVALUATING A FINANCIAL CRIME ALERT | SHAH, BHAVIN D | — |
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 |
|---|---|---|---|
| 18629309 | MONEY MULE DETECTION USING LINK PREDICTION | BUNKER, WILLIAM B | 78d 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 |
| 18888931 | MULTI-STAGE UNSUPERVISED LEARNING FOR EXTREME LOW-FRAUD SCENARIOS | BUNKER, WILLIAM B | — |
| 18664885 | SYSTEM AND METHOD FOR IDENTIFYING DATA CONNECTIONS | OYEBISI, OJO O | — |
| 18665327 | SYSTEM AND METHOD FOR EVALUATING A FINANCIAL CRIME ALERT | SHAH, BHAVIN D | — |
| 18520586 | COMPUTERIZED-METHOD FOR COMPREHENSIVE TEXT SUMMARIZATION QUALITY ASSESSMENT WITH RANK-BASED NORMALIZATION AND WEIGHTED HIERARCHICAL RANKING | SCHMIEDER, NICOLE A K | — |
| Art Unit | Apps |
|---|---|
| 3691 | 2 |
| 3695 | 2 |
| 3694 | 2 |
| 3629 | 1 |
| 3693 | 1 |
| 2659 | 1 |
| 2148 | 1 |
| 2121 | 1 |
| 3696 | 1 |
| 2129 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18888931 | MULTI-STAGE UNSUPERVISED LEARNING FOR EXTREME LOW-FRAUD SCENARIOS | BUNKER, WILLIAM B | 3691 | §103 | Non-Final OA | — | Pending | Sep 18, 2024 |
| 18758683 | SYSTEM AND METHOD FOR DETERMINING TRUST INDICATORS | WASAFF, JOHN S. | 3629 | §101 | Non-Final OA | 7d | Pending | Jun 28, 2024 |
| 18752248 | SMART PEER GROUPING OF BANK CUSTOMERS USING FUZZY K-MODE | WEISBERGER, RICHARD C | 3693 | §101 | Final Rejection | — | Pending | Jun 24, 2024 |
| 18664885 | SYSTEM AND METHOD FOR IDENTIFYING DATA CONNECTIONS | OYEBISI, OJO O | 3695 | §102§103 | Final Rejection | — | Pending | May 15, 2024 |
| 18665327 | SYSTEM AND METHOD FOR EVALUATING A FINANCIAL CRIME ALERT | SHAH, BHAVIN D | 3694 | §101 | Final Rejection | — | Pending | May 15, 2024 |
| 18629309 | MONEY MULE DETECTION USING LINK PREDICTION | BUNKER, WILLIAM B | 3691 | §103 | Non-Final OA | 78d overdue | Pending | Apr 08, 2024 |
| 18422736 | AUTOMATED SUSPICIOUS ACTIVITY REPORT NARRATIVE GENERATION USING GENERATIVE ARTIFICIAL INTELLIGENCE | ACOSTA, RILEY SULLIVAN | — | §101§103 | Non-Final OA | — | Pending | Jan 25, 2024 |
| 18520586 | COMPUTERIZED-METHOD FOR COMPREHENSIVE TEXT SUMMARIZATION QUALITY ASSESSMENT WITH RANK-BASED NORMALIZATION AND WEIGHTED HIERARCHICAL RANKING | SCHMIEDER, NICOLE A K | 2659 | §101§112 | Final Rejection | — | Pending | Nov 28, 2023 |
| 18356346 | AUTOMATED RULE CREATION FOR FRAUD DETECTION USING A MACHINE LEARNING-DRIVEN COMPUTING FRAMEWORK | BARRETT, RYAN S | 2148 | §101§103Other | 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 | §101§103 | Non-Final OA | 62d | Pending | May 23, 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 | Non-Final OA | 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 | Non-Final OA | 70d overdue | Pending | Dec 06, 2022 |
| 18046195 | USAGE OF EMOTION RECOGNITION IN TRADE MONITORING | PARK, YONG S | 3694 | §112 | Final Rejection | — | Pending | Oct 13, 2022 |
| 17831159 | LTP-INDUCED ONLINE INCREMENTAL DEEP LEARNING | ALABI, OLUWATOSIN O | 2129 | §103 | Final Rejection | 15d overdue | Pending | Jun 02, 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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