Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
1 pending office actions • 1 art units • 1 examiners • 0 of 1 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Albany Medical College manages a company patent portfolio within the Transportation, E-Commerce & Mechanical Systems technology area. The portfolio currently features 1 pending office action, which is being reviewed by RUIZ, JOSHUA DAMIAN. This examiner is the busiest for the company, managing 1 busiest examiner pending action. Consequently, the company's current legal focus at the patent office is entirely concentrated on this 1 individual's assessment of their application.
The prosecution profile is centralized, involving 1 distinct examiner and 1 distinct art unit. This concentration suggests that the company's current technological developments are focused within a specific area of Transportation, E-Commerce & Mechanical Systems. For practitioners, the fact that there is only 1 distinct art unit means that the procedural environment is relatively straightforward, with only one set of unit-specific practices to consider. Furthermore, the presence of 1 distinct examiner for the 1 pending office action allows for a focused and consistent communication strategy. This lack of diversification in the portfolio's current pending matters simplifies the management of the patent acquisition process, as there are no competing examiner preferences or varied art unit standards to navigate. The focus on 1 pending office action under 1 examiner provides a clear path for the company's intellectual property objectives.
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 (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 |
|---|---|---|---|
| RUIZ, JOSHUA DAMIAN | 1 | 0.0% | +0.0% |
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 |
|---|---|---|---|
| 18566695 | MACHINE LEARNING BASED DECISION SUPPORT SYSTEM FOR SPINAL CORD STIMULATION LONG TERM RESPONSE | RUIZ, JOSHUA DAMIAN | 14d |
| Art Unit | Apps |
|---|---|
| 3684 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18566695 | MACHINE LEARNING BASED DECISION SUPPORT SYSTEM FOR SPINAL CORD STIMULATION LONG TERM RESPONSE | RUIZ, JOSHUA DAMIAN | 3684 | §101 | Non-Final OA | 14d | Pending | Dec 04, 2023 |
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