Prosecution Insights
Prosecution Insights
5 pending office actions • 5 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 6 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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 (20%) |
| §101 + other | 2 (40%) |
| §103 only | 2 (40%) |
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 |
|---|---|---|---|
| SANA, MOHAMMAD AZAM | 1 | 86.4% | +20.6% |
| LAU, KAITLYN RENEE | 1 | 55.6% | +80.0% |
| KIM, JONATHAN J | 1 | 42.9% | +66.7% |
| HONORE, EVEL NMN | 1 | 48.0% | +24.6% |
| SMITH, KEVIN LEE | 1 | 37.7% | +19.4% |
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 |
|---|---|---|---|
| 19075141 | SYSTEM AND METHOD FOR INTEGRATION OF DATA DRIVEN AGENTS WITH LARGE LANGUAGE MODELS | SANA, MOHAMMAD AZAM | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17554097 | System and Method For Multi-Task Learning Through Spatial Variable Embeddings | LAU, KAITLYN RENEE | — |
| 17545084 | System and Method For Detecting Misclassification Errors in Neural Networks Classifiers | KIM, JONATHAN J | — |
| 17389961 | System and Method For Regularized Evolutionary Population-Based Training | HONORE, EVEL NMN | — |
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 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17064706 | Method and System For Sharing Meta-Learning Method(s) Among Multiple Private Data Sets | SMITH, KEVIN LEE | 31d overdue |
| 19075141 | SYSTEM AND METHOD FOR INTEGRATION OF DATA DRIVEN AGENTS WITH LARGE LANGUAGE MODELS | SANA, MOHAMMAD AZAM | — |
| 17554097 | System and Method For Multi-Task Learning Through Spatial Variable Embeddings | LAU, KAITLYN RENEE | — |
| 17545084 | System and Method For Detecting Misclassification Errors in Neural Networks Classifiers | KIM, JONATHAN J | — |
| 17389961 | System and Method For Regularized Evolutionary Population-Based Training | HONORE, EVEL NMN | — |
| Art Unit | Apps |
|---|---|
| 2166 | 1 |
| 2148 | 1 |
| 2141 | 1 |
| 2142 | 1 |
| 2122 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19075141 | SYSTEM AND METHOD FOR INTEGRATION OF DATA DRIVEN AGENTS WITH LARGE LANGUAGE MODELS | SANA, MOHAMMAD AZAM | 2166 | §103 | Non-Final OA | — | Pending | Mar 10, 2025 |
| 17554097 | System and Method For Multi-Task Learning Through Spatial Variable Embeddings | LAU, KAITLYN RENEE | 2148 | §101§103§112 | Non-Final OA | — | Pending | Dec 17, 2021 |
| 17545084 | System and Method For Detecting Misclassification Errors in Neural Networks Classifiers | KIM, JONATHAN J | 2141 | §101 | Final Rejection | — | Pending | Dec 08, 2021 |
| 17389961 | System and Method For Regularized Evolutionary Population-Based Training | HONORE, EVEL NMN | 2142 | §101§103 | Final Rejection | — | Pending | Jul 30, 2021 |
| 17064706 | Method and System For Sharing Meta-Learning Method(s) Among Multiple Private Data Sets | SMITH, KEVIN LEE | 2122 | §103 | Non-Final OA | 31d overdue | Pending | Oct 07, 2020 |
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