Prosecution Insights
Prosecution Insights
14 pending office actions • 12 art units • 14 examiners • 0 of 14 (0%) have an AI response strategy ready • 23 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 | 5 (36%) |
| §103 only | 8 (57%) |
| No statute on record | 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 |
|---|---|---|---|
| MISIASZEK, AMBER ALTSCHUL | 1 | 47.0% | +24.6% |
| FIBBI, CHRISTOPHER J | 1 | 53.0% | +38.1% |
| THEIN, MARIA TERESA T | 1 | 28.1% | +30.7% |
| HEIN, DEVIN C | 1 | 45.8% | +29.9% |
| TOMASZEWSKI, MICHAEL | 1 | 47.7% | +22.9% |
| BARRETT, RYAN S | 1 | 64.6% | +43.2% |
| CASTILLO-TORRES, KEISHA Y | 1 | 74.5% | +29.5% |
| RAPILLO, KRISTINE K | 1 | 28.5% | +27.2% |
| DAY, ROBERT N | 1 | 20.8% | +20.0% |
| SITIRICHE, LUIS A | 1 | 77.7% | +22.0% |
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 |
|---|---|---|---|
| 18182155 | SYSTEMS AND METHODS FOR REMOTE PATIENT MONITORING | RAPILLO, KRISTINE K | 77d overdue |
| 18178043 | MACHINE LEARNING MONITORING TECHNIQUES FOR IDENTIFYING AND FACILITATING MODEL RETRAINING | DAY, ROBERT N | 46d overdue |
| 17478702 | IDENTIFICATION OF OPTIMAL RESOURCE ALLOCATIONS FOR IMPROVED RATINGS | COLEMAN, CHARLES P. | 29d overdue |
| 17648385 | MACHINE LEARNING TECHNIQUES USING SEGMENT-WISE REPRESENTATIONS OF INPUT FEATURE REPRESENTATION SEGMENTS | LAU, KAITLYN RENEE | 5d overdue |
| 18629150 | SYSTEMS AND METHODS FOR INTELLIGENT SYSTEM RESOURCE ALLOCATION | MISIASZEK, AMBER ALTSCHUL | 22d |
| 18486270 | COMPUTER IMPLEMENTED TECHNIQUES FOR SAMPLE OPTIMIZATION | TOMASZEWSKI, MICHAEL | 28d |
| 18588776 | SYSTEMS AND METHODS FOR PREDICTING RELEVANT SEARCH QUERY CATEGORIZATIONS AND LOCALE PREFERENCES | THEIN, MARIA TERESA T | 53d |
| 18501189 | SYSTEMS AND METHODS FOR EFFICIENT PROCESSING OF DATA ASSOCIATED WITH SYSTEM RESOURCES | HEIN, DEVIN C | 83d |
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 |
|---|---|---|---|
| 18182155 | SYSTEMS AND METHODS FOR REMOTE PATIENT MONITORING | RAPILLO, KRISTINE K | 77d overdue |
| 18178043 | MACHINE LEARNING MONITORING TECHNIQUES FOR IDENTIFYING AND FACILITATING MODEL RETRAINING | DAY, ROBERT N | 46d overdue |
| 18338043 | MACHINE LEARNING USING MAP REPRESENTATIONS OF CATEGORICAL DATA TO PROVIDE CLASSIFICATION PREDICTIONS | BARRETT, RYAN S | 3d overdue |
| 18618529 | SEARCH DOMAIN-BASED KEYWORD GENERATION AND USER INTERFACE FILTERING AND NAVIGATION | FIBBI, CHRISTOPHER J | 2d overdue |
| 18313426 | IMAGE PROCESSING TECHNIQUES FOR GENERATING PREDICTIONS | CASTILLO-TORRES, KEISHA Y | 8d |
| 18629150 | SYSTEMS AND METHODS FOR INTELLIGENT SYSTEM RESOURCE ALLOCATION | MISIASZEK, AMBER ALTSCHUL | 22d |
| 18486270 | COMPUTER IMPLEMENTED TECHNIQUES FOR SAMPLE OPTIMIZATION | TOMASZEWSKI, MICHAEL | 28d |
| 18588776 | SYSTEMS AND METHODS FOR PREDICTING RELEVANT SEARCH QUERY CATEGORIZATIONS AND LOCALE PREFERENCES | THEIN, MARIA TERESA T | 53d |
| Art Unit | Apps |
|---|---|
| 3682 | 2 |
| 2148 | 2 |
| 2174 | 1 |
| 3689 | 1 |
| 2151 | 1 |
| 3681 | 1 |
| 2659 | 1 |
| 2122 | 1 |
| 2126 | 1 |
| 2145 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18629150 | SYSTEMS AND METHODS FOR INTELLIGENT SYSTEM RESOURCE ALLOCATION | MISIASZEK, AMBER ALTSCHUL | 3682 | §101 | Final Rejection | 22d | Pending | Apr 08, 2024 |
| 18618529 | SEARCH DOMAIN-BASED KEYWORD GENERATION AND USER INTERFACE FILTERING AND NAVIGATION | FIBBI, CHRISTOPHER J | 2174 | §103 | Non-Final OA | 2d overdue | Pending | Mar 27, 2024 |
| 18588776 | SYSTEMS AND METHODS FOR PREDICTING RELEVANT SEARCH QUERY CATEGORIZATIONS AND LOCALE PREFERENCES | THEIN, MARIA TERESA T | 3689 | §103 | Non-Final OA | 53d | Pending | Feb 27, 2024 |
| 18501189 | SYSTEMS AND METHODS FOR EFFICIENT PROCESSING OF DATA ASSOCIATED WITH SYSTEM RESOURCES | HEIN, DEVIN C | 2151 | §101 | Non-Final OA | 83d | Pending | Nov 03, 2023 |
| 18486270 | COMPUTER IMPLEMENTED TECHNIQUES FOR SAMPLE OPTIMIZATION | TOMASZEWSKI, MICHAEL | 3681 | §101 | Non-Final OA | 28d | Pending | Oct 13, 2023 |
| 18338043 | MACHINE LEARNING USING MAP REPRESENTATIONS OF CATEGORICAL DATA TO PROVIDE CLASSIFICATION PREDICTIONS | BARRETT, RYAN S | 2148 | Other | Non-Final OA | 3d overdue | Pending | Jun 20, 2023 |
| 18313426 | IMAGE PROCESSING TECHNIQUES FOR GENERATING PREDICTIONS | CASTILLO-TORRES, KEISHA Y | 2659 | §103 | Non-Final OA | 8d | Pending | May 08, 2023 |
| 18182155 | SYSTEMS AND METHODS FOR REMOTE PATIENT MONITORING | RAPILLO, KRISTINE K | 3682 | §103 | Final Rejection | 77d overdue | Pending | Mar 10, 2023 |
| 18178043 | MACHINE LEARNING MONITORING TECHNIQUES FOR IDENTIFYING AND FACILITATING MODEL RETRAINING | DAY, ROBERT N | 2122 | §103 | Non-Final OA | 46d overdue | Pending | Mar 03, 2023 |
| 18086751 | MACHINE LEARNING TECHNIQUES FOR MAINTAINING OPTIMUM NUMBER OF RESOURCES FOR DISTRUBUTION TO SELECTED ENTITIES BASED ON NON-CAUSAL INFERENCE | SITIRICHE, LUIS A | 2126 | §103 | Non-Final OA | 61d | Pending | Dec 22, 2022 |
| 17648385 | MACHINE LEARNING TECHNIQUES USING SEGMENT-WISE REPRESENTATIONS OF INPUT FEATURE REPRESENTATION SEGMENTS | LAU, KAITLYN RENEE | 2148 | §101 | Non-Final OA | 5d overdue | Pending | Jan 19, 2022 |
| 17645122 | DISTRIBUTED QUANTUM COMPUTING SYSTEM | HEFFINGTON, JOHN M | 2145 | §103 | Final Rejection | 29d | Pending | Dec 20, 2021 |
| 17478702 | IDENTIFICATION OF OPTIMAL RESOURCE ALLOCATIONS FOR IMPROVED RATINGS | COLEMAN, CHARLES P. | 3683 | §101 | Final Rejection | 29d overdue | Pending | Sep 17, 2021 |
| 17196543 | MACHINE LEARNING TECHNIQUES FOR PREDICTIVE CONFORMANCE DETERMINATION | FEITL, LEAH M | 2147 | §103 | Non-Final OA | — | Pending | Mar 09, 2021 |
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