Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
3 pending office actions • 3 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 9 patents granted in the last 365 days
Innova Electronics Corporation has 3 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These actions are distributed among 3 distinct examiners and 3 distinct art units. This distribution shows that every pending matter is being handled by a different examiner in a different art unit. This requires the company to manage 3 separate prosecution tracks simultaneously, each with its own set of examiner expectations and departmental procedures.
GUSTAFSON, MATHEW DONALD is the busiest examiner for the company, with 1 pending office action. Since each of the 3 pending office actions is assigned to a different person, no single examiner has a larger share of the workload than others. This decentralized approach means that the outcome of one application is less likely to influence the others. The involvement of 3 distinct art units further emphasizes the technical variety within the 3 pending office actions currently active for the corporation.
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 |
|---|---|---|---|
| GUSTAFSON, MATHEW DONALD | 1 | 83.3% | +41.7% |
| ROBERT, DANIEL M | 1 | 78.6% | +10.7% |
| ROSEN, NICHOLAS D | 1 | 70.4% | +22.4% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19216930 | SYSTEM AND METHOD FOR AUTOMATED IDENTIFICATION AND ASSISTED REPAIR OF CAN-RELATED FAULTS ACROSS MULTIPLE VEHICLE ECUS | GUSTAFSON, MATHEW DONALD | — |
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 |
|---|---|---|---|
| 18629506 | SYSTEM AND RELATED METHODOLOGY OF USING VEHICLE DATA IN CONNECTION WITH THE SALE OF A VEHICLE | ROSEN, NICHOLAS D | 46d 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 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18910795 | ARTIFICIAL INTELLIGENCE ASSISTANT FOR VEHICLE DIAGNOSTICS | ROBERT, DANIEL M | 71d overdue |
| 18629506 | SYSTEM AND RELATED METHODOLOGY OF USING VEHICLE DATA IN CONNECTION WITH THE SALE OF A VEHICLE | ROSEN, NICHOLAS D | 46d overdue |
| 19216930 | SYSTEM AND METHOD FOR AUTOMATED IDENTIFICATION AND ASSISTED REPAIR OF CAN-RELATED FAULTS ACROSS MULTIPLE VEHICLE ECUS | GUSTAFSON, MATHEW DONALD | — |
| Art Unit | Apps |
|---|---|
| 2113 | 1 |
| 3665 | 1 |
| 3689 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19216930 | SYSTEM AND METHOD FOR AUTOMATED IDENTIFICATION AND ASSISTED REPAIR OF CAN-RELATED FAULTS ACROSS MULTIPLE VEHICLE ECUS | GUSTAFSON, MATHEW DONALD | 2113 | §103 | Final Rejection | — | Pending | May 23, 2025 |
| 18910795 | ARTIFICIAL INTELLIGENCE ASSISTANT FOR VEHICLE DIAGNOSTICS | ROBERT, DANIEL M | 3665 | §103 | Final Rejection | 71d overdue | Pending | Oct 09, 2024 |
| 18629506 | SYSTEM AND RELATED METHODOLOGY OF USING VEHICLE DATA IN CONNECTION WITH THE SALE OF A VEHICLE | ROSEN, NICHOLAS D | 3689 | §101 | Final Rejection | 46d overdue | Pending | Apr 08, 2024 |
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