Prosecution Insights
Prosecution Insights
Technology areas: Networking & Security • Transportation, E-Commerce & Mechanical Systems
2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days
Refinitiv US Organization LLC is active in the Transportation, E-Commerce & Mechanical Systems technology area with 2 pending office actions. These actions are distributed across 2 distinct examiners, indicating a diversified prosecution profile even at a low volume. PRESTON, JOHN O is identified as the busiest examiner for the company, currently managing 1 pending office action.
The portfolio also involves a set of distinct art units, which suggests that the company's technical interests within Transportation, E-Commerce & Mechanical Systems are broad enough to trigger different administrative reviews. For practitioners, the presence of multiple examiners means that the company must manage different individual examination styles simultaneously. This distribution of active matters shows that the workload is split among the assigned staff. This distribution across different units and examiners provides a broader base of feedback from the patent office. The data indicates that no single administrative entity or individual controls the entirety of the company's current patenting trajectory.
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 (50%) |
| §103 only | 1 (50%) |
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 |
|---|---|---|---|
| PRESTON, JOHN O | 1 | 28.4% | +7.7% |
| LONG, EDWARD X | 1 | 73.7% | +43.9% |
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 |
|---|---|---|---|
| 18457524 | DEEP LEARNING APPROACH FOR ASSESSING CREDIT RISK | PRESTON, JOHN O | — |
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 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17551348 | LARGE SCALE SURVEILLANCE OF DATA NETWORKS TO DETECT ALERT CONDITIONS | LONG, EDWARD X | — |
| Art Unit | Apps |
|---|---|
| 3693 | 1 |
| 2439 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18457524 | DEEP LEARNING APPROACH FOR ASSESSING CREDIT RISK | PRESTON, JOHN O | 3693 | §101Other | Final Rejection | — | Pending | Aug 29, 2023 |
| 17551348 | LARGE SCALE SURVEILLANCE OF DATA NETWORKS TO DETECT ALERT CONDITIONS | LONG, EDWARD X | 2439 | §103 | Final Rejection | — | Pending | Dec 15, 2021 |
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