Prosecution Insights
Prosecution Insights
Technology area: Transportation, E-Commerce & Mechanical Systems
4 pending office actions • 3 art units • 4 examiners • 0 of 4 (0%) have an AI response strategy ready
Clover Health has 4 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These matters are assigned to 4 distinct examiners. The portfolio is active in 3 distinct art units. RAPILLO, KRISTINE K is the busiest examiner for the company. This examiner is responsible for 1 busiest examiner pending action. The distribution of 4 pending office actions across 4 distinct examiners means that each case is being reviewed by a different person.
The concentration in 3 distinct art units shows that at least two cases are likely within the same technical group. RAPILLO, KRISTINE K manages 1 busiest examiner pending action, which is consistent with the distributed nature of the portfolio. Practitioners can see that the company's current prosecution efforts in the Transportation, E-Commerce & Mechanical Systems technology area are spread across 4 distinct examiners and 3 distinct art units.
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 (25%) |
| §101 + other | 3 (75%) |
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 |
|---|---|---|---|
| RAPILLO, KRISTINE K | 1 | 29.0% | +27.1% |
| WILLIAMS, TERESA S | 1 | 25.1% | +17.4% |
| SIOZOPOULOS, CONSTANTINE B | 1 | 58.0% | +38.8% |
| HIGGS, STELLA EUN | 1 | 39.2% | +34.2% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 16912483 | OFFICE ASSISTANT TOOL | SIOZOPOULOS, CONSTANTINE B | 14d |
| 16742750 | MACHINE LEARNING MODEL FOR SURFACING SUPPORTING EVIDENCE | HIGGS, STELLA EUN | 15d |
| 19314749 | UNIFIED AI-DRIVEN CLINICAL DECISION SUPPORT AND WORKFLOW OPTIMIZATION SYSTEM | RAPILLO, KRISTINE K | — |
| 19195327 | CLINICAL ASSESSMENT TOOL | WILLIAMS, TERESA S | — |
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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 16912483 | OFFICE ASSISTANT TOOL | SIOZOPOULOS, CONSTANTINE B | 14d |
| 16742750 | MACHINE LEARNING MODEL FOR SURFACING SUPPORTING EVIDENCE | HIGGS, STELLA EUN | 15d |
| 19314749 | UNIFIED AI-DRIVEN CLINICAL DECISION SUPPORT AND WORKFLOW OPTIMIZATION SYSTEM | RAPILLO, KRISTINE K | — |
| 19195327 | CLINICAL ASSESSMENT TOOL | WILLIAMS, TERESA S | — |
| Art Unit | Apps |
|---|---|
| 3682 | 1 |
| 3686 | 1 |
| 3681 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19314749 | UNIFIED AI-DRIVEN CLINICAL DECISION SUPPORT AND WORKFLOW OPTIMIZATION SYSTEM | RAPILLO, KRISTINE K | 3682 | §101§103 | Non-Final OA | — | Pending | Aug 29, 2025 |
| 19195327 | CLINICAL ASSESSMENT TOOL | WILLIAMS, TERESA S | — | §101§103 | Non-Final OA | — | Pending | Apr 30, 2025 |
| 16912483 | OFFICE ASSISTANT TOOL | SIOZOPOULOS, CONSTANTINE B | 3686 | §101 | Final Rejection | 14d | Pending | Jun 25, 2020 |
| 16742750 | MACHINE LEARNING MODEL FOR SURFACING SUPPORTING EVIDENCE | HIGGS, STELLA EUN | 3681 | §101§103 | Final Rejection | 15d | Pending | Jan 14, 2020 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial