Prosecution Insights
Prosecution Insights
Technology area: Communications
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
Shanxi University holds a company patent portfolio in the Communications technology area. The portfolio currently includes 3 pending office actions. All of these matters are concentrated within 1 distinct art units. This concentration suggests that the university's current filings are technically homogenous and fall under a single specialized group at the patent office. The focus on 1 distinct art units provides a stable regulatory environment for the university's intellectual property.
There are 3 distinct examiners assigned to these 3 pending office actions. This creates a situation where every active matter is being reviewed by a different person, despite all cases being in the same art unit. This variety of examiners within 1 distinct art units may lead to different interpretations of similar technical subject matter. Practitioners should monitor for consistency across these three separate interactions to ensure a unified prosecution strategy.
EPSTEIN, TODD MATTHEW is the busiest examiner for the portfolio. This examiner is currently handling 1 busiest examiner pending office action. This accounts for one third of the 3 pending office actions currently active for Shanxi University. The prosecution strategy must account for the individual tendencies of EPSTEIN, TODD MATTHEW alongside the other two examiners involved.
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 | 2 (67%) |
| §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 |
|---|---|---|---|
| EPSTEIN, TODD MATTHEW | 1 | 60.9% | +43.4% |
| NILSSON, ERIC | 1 | 82.7% | +17.6% |
| JONES, ANDREW B | 1 | 73.3% | +21.8% |
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 |
|---|---|---|---|
| 19013153 | Pseudomonas Putida omega-Transaminase Gene with Broad Substrate Spectrum and Application Thereof | EPSTEIN, TODD MATTHEW | — |
| 18534295 | MULTI-VIEW HYPERBOLIC-HYPERBOLIC GRAPH REPRESENTATION LEARNING METHOD | NILSSON, ERIC | — |
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 |
|---|---|---|---|
| 19013153 | Pseudomonas Putida omega-Transaminase Gene with Broad Substrate Spectrum and Application Thereof | EPSTEIN, TODD MATTHEW | — |
| 18534295 | MULTI-VIEW HYPERBOLIC-HYPERBOLIC GRAPH REPRESENTATION LEARNING METHOD | NILSSON, ERIC | — |
| 18387862 | GROUP INFORMATION GUIDED SMOOTH INDEPENDENT COMPONENT ANALYSIS METHOD FOR BRAIN FUNCTIONAL NETWORK ANALYSIS | JONES, ANDREW B | — |
| Art Unit | Apps |
|---|---|
| 2667 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19013153 | Pseudomonas Putida omega-Transaminase Gene with Broad Substrate Spectrum and Application Thereof | EPSTEIN, TODD MATTHEW | — | §101§112 | Non-Final OA | — | Pending | Jan 08, 2025 |
| 18534295 | MULTI-VIEW HYPERBOLIC-HYPERBOLIC GRAPH REPRESENTATION LEARNING METHOD | NILSSON, ERIC | — | §101§102§112 | Non-Final OA | — | Pending | Dec 08, 2023 |
| 18387862 | GROUP INFORMATION GUIDED SMOOTH INDEPENDENT COMPONENT ANALYSIS METHOD FOR BRAIN FUNCTIONAL NETWORK ANALYSIS | JONES, ANDREW B | 2667 | §112 | Final Rejection | — | Pending | Nov 08, 2023 |
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