Prosecution Insights
Prosecution Insights
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 11 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 + other | 1 (33%) |
| Double-patenting + other | 1 (33%) |
| Multi-statute (no §101) | 1 (33%) |
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 |
|---|---|---|---|
| JEUDY, JOSNEL | 1 | 83.7% | -16.2% |
| KONERU, SUJAY | 1 | 58.1% | +37.3% |
| SULTANA, DILARA | 1 | 80.5% | +16.5% |
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 |
|---|---|---|---|
| 18785160 | Method And System For Real Time Detection And Prioritization Of Computing Assets Affected By Publicly Known Vulnerabilities Based On Topological And Transactional Monitoring Data | JEUDY, JOSNEL | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18646865 | Optimizing Cloud-Based IT-Systems Towards Business Objectives: Automatic Topology-Based Analysis To Determine Impact Of IT-Systems On Business Metrics | KONERU, SUJAY | 8d |
| 18428226 | Time Series Forecasting Of Application Monitoring Data And Oberservability Data By Quantile Regression | SULTANA, DILARA | — |
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 |
|---|---|---|---|
| 18646865 | Optimizing Cloud-Based IT-Systems Towards Business Objectives: Automatic Topology-Based Analysis To Determine Impact Of IT-Systems On Business Metrics | KONERU, SUJAY | 8d |
| 18428226 | Time Series Forecasting Of Application Monitoring Data And Oberservability Data By Quantile Regression | SULTANA, DILARA | — |
| Art Unit | Apps |
|---|---|
| 2438 | 1 |
| 3624 | 1 |
| 2858 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18785160 | Method And System For Real Time Detection And Prioritization Of Computing Assets Affected By Publicly Known Vulnerabilities Based On Topological And Transactional Monitoring Data | JEUDY, JOSNEL | 2438 | §103DP | Non-Final OA | — | Pending | Jul 26, 2024 |
| 18646865 | Optimizing Cloud-Based IT-Systems Towards Business Objectives: Automatic Topology-Based Analysis To Determine Impact Of IT-Systems On Business Metrics | KONERU, SUJAY | 3624 | §101§103 | Non-Final OA | 8d | Pending | Apr 26, 2024 |
| 18428226 | Time Series Forecasting Of Application Monitoring Data And Oberservability Data By Quantile Regression | SULTANA, DILARA | 2858 | §103§112 | Non-Final OA | — | Pending | Jan 31, 2024 |
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