Prosecution Insights
Prosecution Insights
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
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 |
|---|---|
| §103 only | 2 (100%) |
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 |
|---|---|---|---|
| SIDDIQI, MOHAMMAD A | 1 | 85.2% | +15.6% |
| KWON, JUN | 1 | 40.0% | +46.6% |
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 |
|---|---|---|---|
| 18505003 | PRIVACY-PRESERVING FUZZY TOKENIZATION AND ACROSS DISPARATE DATASETS | SIDDIQI, MOHAMMAD A | — |
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 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18505003 | PRIVACY-PRESERVING FUZZY TOKENIZATION AND ACROSS DISPARATE DATASETS | SIDDIQI, MOHAMMAD A | — |
| 18162116 | SYSTEMS AND METHODS FOR TRAINING PREDICTIVE MODELS ON SEQUENTIAL DATA USING 1-DIMENSIONAL CONVOLUTIONAL LAYERS IN A BLIND LEARNING APPROACH | KWON, JUN | — |
| Art Unit | Apps |
|---|---|
| 2493 | 1 |
| 2127 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18505003 | PRIVACY-PRESERVING FUZZY TOKENIZATION AND ACROSS DISPARATE DATASETS | SIDDIQI, MOHAMMAD A | 2493 | §103 | Final Rejection | — | Pending | Nov 08, 2023 |
| 18162116 | SYSTEMS AND METHODS FOR TRAINING PREDICTIVE MODELS ON SEQUENTIAL DATA USING 1-DIMENSIONAL CONVOLUTIONAL LAYERS IN A BLIND LEARNING APPROACH | KWON, JUN | 2127 | §103 | Final Rejection | — | Pending | Jan 31, 2023 |
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