9 pending office actions • 7 art units • 9 examiners • 0 of 9 (0%) have an AI response strategy ready • 38 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 4 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. 4 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 (11%) |
| §101 + other | 2 (22%) |
| §103 only | 5 (56%) |
| Multi-statute (no §101) | 1 (11%) |
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 |
|---|---|---|---|
| GORTAYO, DANGELINO N | 1 | 78.7% | +29.4% |
| ALGIBHAH, MAHER N | 1 | 87.8% | +19.4% |
| GADALLA, HANY S | 1 | 72.2% | +37.2% |
| HUANG, BRYAN PAI SONG | 1 | 84.0% | +3.9% |
| SHAH, VAISHALI | 1 | 56.9% | +55.2% |
| ALLEN, NICHOLAS E | 1 | 75.7% | +14.5% |
| BOYCE, ANDRE D | 1 | 36.0% | +18.8% |
| TSAI, JAMES T | 1 | 62.5% | +56.9% |
| TAN, DAVID H | 1 | 32.1% | +17.1% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18612603 | MECHANISM FOR AUTOMATED DETERMINATION AND EXCHANGE OF TRUST CREDENTIALS FOR COMPUTATIONAL DECISION SYSTEMS | BOYCE, ANDRE D | 31d overdue |
| 19030032 | Query Watchdog | HUANG, BRYAN PAI SONG | 13d |
| 19249957 | MULTI-CLUSTER QUERY RESULT CACHING | ALGIBHAH, MAHER N | 84d |
| 18745847 | STRUCTURED CLUSTER EXECUTION FOR DATA STREAMS | ALLEN, NICHOLAS E | — |
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 |
|---|---|---|---|
| 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 |
| 19249957 | MULTI-CLUSTER QUERY RESULT CACHING | ALGIBHAH, MAHER N | 84d |
| 19275107 | FETCHING QUERY RESULTS THROUGH CLOUD OBJECT STORES | GORTAYO, DANGELINO N | — |
| 19072814 | Managed Metastore | GADALLA, HANY S | — |
| 18991864 | MODEL DISCOVERY ENGINE FOR MACHINE-LEARNING MODELS DEPLOYED BY DATA PROCESSING SERVICE | SHAH, VAISHALI | — |
| 18745847 | STRUCTURED CLUSTER EXECUTION FOR DATA STREAMS | ALLEN, NICHOLAS E | — |
| 18414270 | TRAINING MACHINE-LEARNED TRANSFORMER ARCHITECTURES BY CLIPPING QUERIES, KEYS, AND VALUES | TSAI, JAMES T | — |
| Art Unit | Apps |
|---|---|
| 2168 | 1 |
| 2161 | 1 |
| 2114 | 1 |
| 2156 | 1 |
| 2154 | 1 |
| 3623 | 1 |
| 2145 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19275107 | FETCHING QUERY RESULTS THROUGH CLOUD OBJECT STORES | GORTAYO, DANGELINO N | 2168 | §103Other | Non-Final OA | — | Pending | Jul 21, 2025 |
| 19249957 | MULTI-CLUSTER QUERY RESULT CACHING | ALGIBHAH, MAHER N | 2161 | §101 | Non-Final OA | 84d | Pending | Jun 25, 2025 |
| 19072814 | Managed Metastore | GADALLA, HANY S | — | §103 | Non-Final OA | — | Pending | Mar 06, 2025 |
| 19030032 | Query Watchdog | HUANG, BRYAN PAI SONG | 2114 | §102§103§112Other | Final Rejection | 13d | Pending | Jan 17, 2025 |
| 18991864 | MODEL DISCOVERY ENGINE FOR MACHINE-LEARNING MODELS DEPLOYED BY DATA PROCESSING SERVICE | SHAH, VAISHALI | 2156 | §103 | Non-Final OA | — | Pending | Dec 23, 2024 |
| 18745847 | STRUCTURED CLUSTER EXECUTION FOR DATA STREAMS | ALLEN, NICHOLAS E | 2154 | §101§103§112 | Non-Final OA | — | Pending | Jun 17, 2024 |
| 18612603 | MECHANISM FOR AUTOMATED DETERMINATION AND EXCHANGE OF TRUST CREDENTIALS FOR COMPUTATIONAL DECISION SYSTEMS | BOYCE, ANDRE D | 3623 | §101§103§112 | Non-Final OA | 31d overdue | Pending | Mar 21, 2024 |
| 18414270 | TRAINING MACHINE-LEARNED TRANSFORMER ARCHITECTURES BY CLIPPING QUERIES, KEYS, AND VALUES | TSAI, JAMES T | — | §103 | Non-Final OA | — | Pending | Jan 16, 2024 |
| 17587793 | OPTIMIZATION OF TUNING FOR MODELS USED FOR MULTIPLE PREDICTION GENERATION | TAN, DAVID H | 2145 | §103 | Non-Final OA | 38d overdue | Pending | Jan 28, 2022 |
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