Prosecution Insights
Prosecution Insights
8 pending office actions • 8 art units • 8 examiners • 0 of 8 (0%) have an AI response strategy ready • 41 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 | 1 (12%) |
| §103 only | 6 (75%) |
| No statute on record | 1 (12%) |
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 |
|---|---|---|---|
| ALGIBHAH, MAHER N | 1 | 88.0% | +18.6% |
| HUANG, BRYAN PAI SONG | 1 | 81.0% | +1.8% |
| CHEUNG, HUBERT G | 1 | 63.1% | +49.3% |
| VAZ, JANICE EZVI | 1 | 75.8% | +19.4% |
| BOYCE, ANDRE D | 1 | 36.0% | +19.2% |
| AQUINO, WYNUEL S | 1 | 78.8% | +20.4% |
| BARRETT, RYAN S | 1 | 64.6% | +43.2% |
| TAN, DAVID H | 1 | 31.3% | +17.0% |
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 |
|---|---|---|---|
| 19030032 | Query Watchdog | HUANG, BRYAN PAI SONG | 13d |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19249957 | MULTI-CLUSTER QUERY RESULT CACHING | ALGIBHAH, MAHER N | 84d |
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 |
|---|---|---|---|
| 17587793 | OPTIMIZATION OF TUNING FOR MODELS USED FOR MULTIPLE PREDICTION GENERATION | TAN, DAVID H | 38d overdue |
| 18612603 | MECHANISM FOR AUTOMATED DETERMINATION AND EXCHANGE OF TRUST CREDENTIALS FOR COMPUTATIONAL DECISION SYSTEMS | BOYCE, ANDRE D | 31d overdue |
| 18206460 | FEATURE FUNCTION BASED COMPUTATION OF ON-DEMAND FEATURES OF MACHINE LEARNING MODELS | BARRETT, RYAN S | 8d overdue |
| 18653469 | GENERATING SYNTHETIC CAPTIONS FOR TRAINING TEXT-TO-IMAGE GENERATIVE MODELS | VAZ, JANICE EZVI | 4d overdue |
| 18368919 | RESOURCE MANAGEMENT WITH INTERMEDIARY NODE IN KUBERNETES ENVIRONMENT | AQUINO, WYNUEL S | 1d overdue |
| 19249957 | MULTI-CLUSTER QUERY RESULT CACHING | ALGIBHAH, MAHER N | 84d |
| 19000466 | EVALUATING EXPRESSIONS OVER DICTIONARY DATA | CHEUNG, HUBERT G | 84d |
| Art Unit | Apps |
|---|---|
| 2161 | 1 |
| 2114 | 1 |
| 2152 | 1 |
| 2667 | 1 |
| 3623 | 1 |
| 2199 | 1 |
| 2148 | 1 |
| 2145 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19249957 | MULTI-CLUSTER QUERY RESULT CACHING | ALGIBHAH, MAHER N | 2161 | §101 | Non-Final OA | 84d | Pending | Jun 25, 2025 |
| 19030032 | Query Watchdog | HUANG, BRYAN PAI SONG | 2114 | §103 | Non-Final OA | 13d | Pending | Jan 17, 2025 |
| 19000466 | EVALUATING EXPRESSIONS OVER DICTIONARY DATA | CHEUNG, HUBERT G | 2152 | §103 | Final Rejection | 84d | Pending | Dec 23, 2024 |
| 18653469 | GENERATING SYNTHETIC CAPTIONS FOR TRAINING TEXT-TO-IMAGE GENERATIVE MODELS | VAZ, JANICE EZVI | 2667 | §103 | Non-Final OA | 4d overdue | Pending | May 02, 2024 |
| 18612603 | MECHANISM FOR AUTOMATED DETERMINATION AND EXCHANGE OF TRUST CREDENTIALS FOR COMPUTATIONAL DECISION SYSTEMS | BOYCE, ANDRE D | 3623 | §103 | Final Rejection | 31d overdue | Pending | Mar 21, 2024 |
| 18368919 | RESOURCE MANAGEMENT WITH INTERMEDIARY NODE IN KUBERNETES ENVIRONMENT | AQUINO, WYNUEL S | 2199 | §103 | Non-Final OA | 1d overdue | Pending | Sep 15, 2023 |
| 18206460 | FEATURE FUNCTION BASED COMPUTATION OF ON-DEMAND FEATURES OF MACHINE LEARNING MODELS | BARRETT, RYAN S | 2148 | Other | Non-Final OA | 8d overdue | Pending | Jun 06, 2023 |
| 17587793 | OPTIMIZATION OF TUNING FOR MODELS USED FOR MULTIPLE PREDICTION GENERATION | TAN, DAVID H | 2145 | §103 | Final Rejection | 38d overdue | Pending | Jan 28, 2022 |
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