Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
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
Rocket Software Inc. has 2 pending office actions in the technology area of Transportation, E-Commerce & Mechanical Systems. These 2 actions are assigned to 2 distinct examiners and are located in 2 distinct art units. This indicates that each of the company's current pending matters is being reviewed by a different expert in a different technical group.
RAMPHAL, LATASHA DEVI is the busiest examiner for the company, currently handling 1 pending office action. With 2 total pending office actions and 2 distinct examiners, the workload is split. The use of 2 distinct art units for 2 actions suggests that the company's innovations in this technology area are being evaluated across different specialized classifications. This requires the company to address the specific standards of 2 different art units while working with 2 separate examiners.
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 (50%) |
| §103 only | 1 (50%) |
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 |
|---|---|---|---|
| RAMPHAL, LATASHA DEVI | 1 | 33.3% | +48.3% |
| RAJAPUTRA, SUMAN | 1 | 69.5% | +37.5% |
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 |
|---|---|---|---|
| 19214379 | MODELS BASED ON DATA AUGMENTED WITH CONCEIVABLE TRANSITIONS | RAMPHAL, LATASHA DEVI | — |
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 |
|---|---|---|---|
| 19214379 | MODELS BASED ON DATA AUGMENTED WITH CONCEIVABLE TRANSITIONS | RAMPHAL, LATASHA DEVI | — |
| 18607040 | Dynamic software inventory system and method | RAJAPUTRA, SUMAN | — |
| Art Unit | Apps |
|---|---|
| 3688 | 1 |
| 2163 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19214379 | MODELS BASED ON DATA AUGMENTED WITH CONCEIVABLE TRANSITIONS | RAMPHAL, LATASHA DEVI | 3688 | §101§103§112Other | Non-Final OA | — | Pending | May 21, 2025 |
| 18607040 | Dynamic software inventory system and method | RAJAPUTRA, SUMAN | 2163 | §103 | Non-Final OA | — | Pending | Mar 15, 2024 |
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