Prosecution Insights
Prosecution Insights
Technology areas: Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
3 pending office actions • 2 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
Primero Games LLC is navigating 2 pending office actions within the Medical Devices & Mechanical Engineering technology area. These actions are being reviewed by 2 distinct examiners, although all activity is contained within 1 distinct art unit. This structure indicates that the company's mechanical innovations are being evaluated under a single set of art unit guidelines. The use of 2 distinct examiners suggests that the USPTO has distributed the workload even while keeping the technical focus narrow.
THOMAS, ERIC M is the busiest examiner for the portfolio, with 1 pending office action currently assigned. With 2 distinct examiners handling the current filings, the workload is distributed across the available staff. The alignment within 1 distinct art unit provides a consistent environment for the assigned personnel to apply their technical expertise to the company's filings. This allows for a streamlined response strategy for the 2 pending office actions currently in progress.
Based on the USPTO statutory response window for each pending office action. 3 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 3 of the docket's apps have a known mailing date.
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 | 2 (67%) |
| §101 + other | 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 |
|---|---|---|---|
| KING, DAVIDA LEE | 1 | 35.6% | +36.4% |
| THOMAS, ERIC M | 1 | 69.9% | +14.7% |
| GARNER, WERNER G | 1 | 59.7% | +24.7% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18767618 | GENERATING NON-FUNGIBLE TOKENS FOR SWEEPSTAKES GAMING | KING, DAVIDA LEE | 4d overdue |
| 18667745 | SKILL-BASED GAMING DEVICE AND PROCESSES FOR USING SAME | THOMAS, ERIC M | 22d |
| 18340616 | MACHINE LEARNING-BASED WIN PROBABILITIES IN WAGERING GAMES | GARNER, WERNER G | 84d |
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 |
|---|---|---|---|
| 18767618 | GENERATING NON-FUNGIBLE TOKENS FOR SWEEPSTAKES GAMING | KING, DAVIDA LEE | 4d overdue |
| 18667745 | SKILL-BASED GAMING DEVICE AND PROCESSES FOR USING SAME | THOMAS, ERIC M | 22d |
| 18340616 | MACHINE LEARNING-BASED WIN PROBABILITIES IN WAGERING GAMES | GARNER, WERNER G | 84d |
| Art Unit | Apps |
|---|---|
| 3715 | 2 |
| 3699 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18767618 | GENERATING NON-FUNGIBLE TOKENS FOR SWEEPSTAKES GAMING | KING, DAVIDA LEE | 3699 | §101§103 | Non-Final OA | 4d overdue | Pending | Jul 09, 2024 |
| 18667745 | SKILL-BASED GAMING DEVICE AND PROCESSES FOR USING SAME | THOMAS, ERIC M | 3715 | §101 | Non-Final OA | 22d | Pending | May 17, 2024 |
| 18340616 | MACHINE LEARNING-BASED WIN PROBABILITIES IN WAGERING GAMES | GARNER, WERNER G | 3715 | §101 | Non-Final OA | 84d | Pending | Jun 23, 2023 |
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