Prosecution Insights
Prosecution Insights
21 pending office actions • 16 art units • 20 examiners • 0 of 21 (0%) have an AI response strategy ready • 55 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 21 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. 21 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 (33%) |
| §103 only | 12 (57%) |
| No statute on record | 2 (10%) |
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 |
|---|---|---|---|
| PUJOLS-CRUZ, MARJORIE | 2 | 18.6% | +28.6% |
| BIBBEE, JARED M | 1 | 80.3% | +13.6% |
| EBERSMAN, BRUCE I | 1 | 64.1% | +57.8% |
| HAIDER, FAWAAD | 1 | 49.8% | +25.4% |
| OUELLETTE, JONATHAN P | 1 | 66.4% | +29.8% |
| SPAR, ILANA L | 1 | 45.3% | +28.4% |
| NGUYEN, TIEN C | 1 | 68.2% | +18.0% |
| SENSENIG, SHAUN D | 1 | 14.5% | +16.6% |
| VO, QUANG N | 1 | 72.0% | +8.3% |
| NGUYEN, NGA B | 1 | 53.2% | +24.9% |
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 |
|---|---|---|---|
| 19245897 | PREDICTION OF CACHEABLE QUERIES | BIBBEE, JARED M | 34d |
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 |
|---|---|---|---|
| 18200461 | MULTI-TASK DEEP LEARNING OF EMPLOYER-PROVIDED BENEFIT PLANS | POLLOCK, GREGORY A | 74d overdue |
| 18642485 | MULTI-TASK DEEP LEARNING OF CUSTOMER DEMAND | PUJOLS-CRUZ, MARJORIE | 36d overdue |
| 17813444 | SYSTEM FOR CUSTOMER CHURN PREDICTION AND PREVENTION | KIM, PATRICK | 31d overdue |
| 17690527 | PREDICTING AND INDEXING INFRASTRUCTURE PROJECT REQUIREMENTS | KNIGHT, LETORIA G | 23d overdue |
| 18496434 | TAX CLIENT EXIT PREDICTOR | TORRICO-LOPEZ, ALAN | 4d overdue |
| 18886608 | DYNAMIC ORGANIZATION STRUCTURE MODEL | HAIDER, FAWAAD | 7d |
| 18605533 | GLOBAL PREDICTIVE MODELING VIA CUSTOM MACHINE LEARNING MODELS | NGUYEN, NGA B | 9d |
| 18132805 | MULTI-TASK DEEP LEARNING OF TIME RECORD EVENTS | PUJOLS-CRUZ, MARJORIE | 29d |
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 |
|---|---|---|---|
| 18752606 | BENEFIT VALIDATION | NGUYEN, TIEN C | 46d overdue |
| 18760572 | OPERATION MODIFICATION TO ADDRESS INCOMPATIBILITY VIA MACHINE LEARNING | SPAR, ILANA L | 45d overdue |
| 18642485 | MULTI-TASK DEEP LEARNING OF CUSTOMER DEMAND | PUJOLS-CRUZ, MARJORIE | 36d overdue |
| 18886608 | DYNAMIC ORGANIZATION STRUCTURE MODEL | HAIDER, FAWAAD | 7d |
| 18605533 | GLOBAL PREDICTIVE MODELING VIA CUSTOM MACHINE LEARNING MODELS | NGUYEN, NGA B | 9d |
| 18132805 | MULTI-TASK DEEP LEARNING OF TIME RECORD EVENTS | PUJOLS-CRUZ, MARJORIE | 29d |
| 19245897 | PREDICTION OF CACHEABLE QUERIES | BIBBEE, JARED M | 34d |
| 18828948 | SYSTEM AND METHOD FOR GRAPH MODEL COMPUTING | OUELLETTE, JONATHAN P | 42d |
| Art Unit | Apps |
|---|---|
| 3629 | 3 |
| 3625 | 3 |
| 3624 | 2 |
| 2161 | 1 |
| 3693 | 1 |
| 3627 | 1 |
| 3622 | 1 |
| 3694 | 1 |
| 2683 | 1 |
| 2433 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19245897 | PREDICTION OF CACHEABLE QUERIES | BIBBEE, JARED M | 2161 | §103 | Non-Final OA | 34d | Pending | Jun 23, 2025 |
| 18957342 | CLASSIFYING TRANSACTIONS IN A WEB SERVICE ENVIRONMENT | EBERSMAN, BRUCE I | 3693 | §103 | Final Rejection | 43d | Pending | Nov 22, 2024 |
| 18886608 | DYNAMIC ORGANIZATION STRUCTURE MODEL | HAIDER, FAWAAD | 3627 | §101 | Non-Final OA | 7d | Pending | Sep 16, 2024 |
| 18828948 | SYSTEM AND METHOD FOR GRAPH MODEL COMPUTING | OUELLETTE, JONATHAN P | 3629 | §103 | Non-Final OA | 42d | Pending | Sep 09, 2024 |
| 18760572 | OPERATION MODIFICATION TO ADDRESS INCOMPATIBILITY VIA MACHINE LEARNING | SPAR, ILANA L | 3622 | §103 | Non-Final OA | 45d overdue | Pending | Jul 01, 2024 |
| 18752606 | BENEFIT VALIDATION | NGUYEN, TIEN C | 3694 | Other | Final Rejection | 46d overdue | Pending | Jun 24, 2024 |
| 18737776 | SMART ACTIONS IN APPLICATION ECOSYSTEM | SENSENIG, SHAUN D | 3629 | §103 | Non-Final OA | 42d | Pending | Jun 07, 2024 |
| 18642485 | MULTI-TASK DEEP LEARNING OF CUSTOMER DEMAND | PUJOLS-CRUZ, MARJORIE | 3624 | Other | Non-Final OA | 36d overdue | Pending | Apr 22, 2024 |
| 18630856 | ATTENTION EMBEDDED TRANSFORMER NETWORK DRIVEN DOCUMENT DATA EXTRACTION | VO, QUANG N | 2683 | §103 | Non-Final OA | 22d | Pending | Apr 09, 2024 |
| 18605533 | GLOBAL PREDICTIVE MODELING VIA CUSTOM MACHINE LEARNING MODELS | NGUYEN, NGA B | 3625 | §101 | Final Rejection | 9d | Pending | Mar 14, 2024 |
| 18506787 | DIGITAL CAREER COACH | RUSS, COREY V | 3629 | §103 | Final Rejection | 41d | Pending | Nov 10, 2023 |
| 18496434 | TAX CLIENT EXIT PREDICTOR | TORRICO-LOPEZ, ALAN | 3625 | §101 | Non-Final OA | 4d overdue | Pending | Oct 27, 2023 |
| 18491526 | MULTIPLE ELECTRONIC SIGNATURE PLATFORM | SHAAWAT, MAYASA A. | 2433 | §103 | Non-Final OA | 35d overdue | Pending | Oct 20, 2023 |
| 18479769 | PREDICTIVE MODELING METHOD AND SYSTEM FOR DYNAMICALLY QUANTIFYING EMPLOYEE GROWTH OPPORTUNITY | BOSWELL, BETH V | 3625 | §103 | Non-Final OA | 83d | Pending | Oct 02, 2023 |
| 18479737 | SPARSE INTENT CLUSTERING THROUGH DEEP CONTEXT ENCODERS | NGUYEN, LOAN T | 2165 | §103 | Non-Final OA | 23d overdue | Pending | Oct 02, 2023 |
| 18475800 | METADATA DRIVEN PLATFORM FOR CUSTOMIZED APPLICATION DEVELOPMENT | NGUYEN, MONGBAO | 2192 | §103 | Final Rejection | 7d | Pending | Sep 27, 2023 |
| 18200461 | MULTI-TASK DEEP LEARNING OF EMPLOYER-PROVIDED BENEFIT PLANS | POLLOCK, GREGORY A | 3691 | §101 | Non-Final OA | 74d overdue | Pending | May 22, 2023 |
| 18132805 | MULTI-TASK DEEP LEARNING OF TIME RECORD EVENTS | PUJOLS-CRUZ, MARJORIE | 3624 | §101 | Final Rejection | 29d | Pending | Apr 10, 2023 |
| 17984350 | MACHINE LEARNING BASED CODE MAPPING | SACKALOSKY, COREY MATTHEW | 2128 | §103 | Final Rejection | 6d | Pending | Nov 10, 2022 |
| 17813444 | SYSTEM FOR CUSTOMER CHURN PREDICTION AND PREVENTION | KIM, PATRICK | 3628 | §101 | Non-Final OA | 31d overdue | Pending | Jul 19, 2022 |
| 17690527 | PREDICTING AND INDEXING INFRASTRUCTURE PROJECT REQUIREMENTS | KNIGHT, LETORIA G | 3623 | §101 | Final Rejection | 23d overdue | Pending | Mar 09, 2022 |
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