Prosecution Insights
Prosecution Insights
Technology area: Computing & Software
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 10 patents granted in the last 365 days
Oracle Financial Services Software Limited manages a distributed set of filings in the Computing & Software technology area. The portfolio currently features 3 pending office actions, which are being handled by 3 distinct examiners. This distribution suggests that the company's software innovations are being evaluated independently, with no single examiner controlling a majority of the pending workload.
The technical diversity of the portfolio is further evidenced by the involvement of 3 distinct art units. This indicates that the pending matters cover different functional areas within the technology area. SUN, ANDREW NMN is listed as the busiest examiner, with 1 busiest examiner pending office action. Because the total number of pending actions is 3, the workload is spread evenly across the examiners. This arrangement requires the company to manage multiple separate prosecution tracks, each subject to the specific nuances and technical requirements of 3 distinct art units.
Based on the USPTO statutory response window for each pending office action. 2 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 (33%) |
| §103 only | 2 (67%) |
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 |
|---|---|---|---|
| SUN, ANDREW NMN | 1 | 50.0% | +100.0% |
| ILES, TYLER EDWARD | 1 | 55.6% | +66.7% |
| LEATHERS, EMILY GORMAN | 1 | 61.1% | +11.1% |
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 |
|---|---|---|---|
| 17742540 | REDUNDANT SCENARIO DECOMMISSIONING | LEATHERS, EMILY GORMAN | 33d |
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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17748204 | REINFORCEMENT LEARNING AGENT SIMULATION TO MEASURE MONITORING SYSTEM STRENGTH | ILES, TYLER EDWARD | 16d overdue |
| 17742540 | REDUNDANT SCENARIO DECOMMISSIONING | LEATHERS, EMILY GORMAN | 33d |
| 18352422 | USING MACHINE LEARNING FOR EXECUTING BATCH JOBS IN DISTRIBUTED CLOUD ENVIRONMENT | SUN, ANDREW NMN | — |
| Art Unit | Apps |
|---|---|
| 2195 | 1 |
| 2122 | 1 |
| 2187 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18352422 | USING MACHINE LEARNING FOR EXECUTING BATCH JOBS IN DISTRIBUTED CLOUD ENVIRONMENT | SUN, ANDREW NMN | 2195 | §103 | Final Rejection | — | Pending | Jul 14, 2023 |
| 17748204 | REINFORCEMENT LEARNING AGENT SIMULATION TO MEASURE MONITORING SYSTEM STRENGTH | ILES, TYLER EDWARD | 2122 | §103 | Non-Final OA | 16d overdue | Pending | May 19, 2022 |
| 17742540 | REDUNDANT SCENARIO DECOMMISSIONING | LEATHERS, EMILY GORMAN | 2187 | §101 | Non-Final OA | 33d | Pending | May 12, 2022 |
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