Prosecution Insights
Prosecution Insights
Technology area: Medical Devices & Mechanical Engineering
3 pending office actions • 1 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
Sierra Artificial Neural Networks has 3 pending office actions in the Medical Devices & Mechanical Engineering technology area. These matters are handled by 3 distinct examiners within 1 distinct art unit, concentrating the technical review in one area while diversifying the personnel involved. This indicates that every pending action is being reviewed by a different individual.
The busiest examiner for the company is MYHR, JUSTIN L, who is responsible for 1 pending office action. This accounts for one of the 3 total pending actions currently active. With 3 distinct examiners for the 3 actions, the company must navigate three different individual styles within the same art unit. The 1 pending office action assigned to MYHR, JUSTIN L is the only one for that examiner in this portfolio.
For a practitioner, the concentration of 3 pending office actions within 1 distinct art unit suggests a consistent technical standard will be applied. However, the involvement of 3 distinct examiners means that the specific prosecution style may vary between each of the 3 pending actions. The strategy must account for the individual preferences of each examiner while operating within the Medical Devices & Mechanical Engineering technology area.
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 | 1 (33%) |
| §101 + other | 1 (33%) |
| §112 only | 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 |
|---|---|---|---|
| MYHR, JUSTIN L | 1 | 63.9% | +27.9% |
| HSU, RYAN | 1 | 56.6% | +17.4% |
| MOSSER, ROBERT E | 1 | 46.7% | +9.8% |
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 |
|---|---|---|---|
| 19068989 | SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE DRIVEN CASINO-STYLE GAME ANALYSIS | MYHR, JUSTIN L | 142d overdue |
| 18354592 | SYSTEMS AND METHODS FOR SLOT MACHINE GAME DEVELOPMENT UTILIZING ARTIFICIAL INTELLIGENCE GAME MATH DESIGN SYSTEMS | MOSSER, ROBERT E | 84d overdue |
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 |
|---|---|---|---|
| 19068989 | SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE DRIVEN CASINO-STYLE GAME ANALYSIS | MYHR, JUSTIN L | 142d overdue |
| 18354596 | SYSTEMS AND METHODS FOR SLOT MACHINE GAME DEVELOPMENT UTILIZING ARTIFICIAL INTELLIGENCE QUALITY ASSURANCE GAME DESIGN SYSTEMS | HSU, RYAN | 77d overdue |
| Art Unit | Apps |
|---|---|
| 3715 | 3 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19068989 | SYSTEMS AND METHODS FOR ARTIFICIAL INTELLIGENCE DRIVEN CASINO-STYLE GAME ANALYSIS | MYHR, JUSTIN L | 3715 | §101§103 | Non-Final OA | 142d overdue | Pending | Mar 03, 2025 |
| 18354596 | SYSTEMS AND METHODS FOR SLOT MACHINE GAME DEVELOPMENT UTILIZING ARTIFICIAL INTELLIGENCE QUALITY ASSURANCE GAME DESIGN SYSTEMS | HSU, RYAN | 3715 | §112 | Final Rejection | 77d overdue | Pending | Jul 18, 2023 |
| 18354592 | SYSTEMS AND METHODS FOR SLOT MACHINE GAME DEVELOPMENT UTILIZING ARTIFICIAL INTELLIGENCE GAME MATH DESIGN SYSTEMS | MOSSER, ROBERT E | 3715 | §101 | Final Rejection | 84d overdue | Pending | Jul 18, 2023 |
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