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 • 3 patents granted in the last 365 days
VERIZON MEDIA INC. is managing 3 pending office actions within the Transportation, E-Commerce & Mechanical Systems technology area. These 3 actions are spread across 3 distinct examiners and 3 distinct art units, representing a distributed prosecution load. This variety indicates that the company's current intellectual property interests are being examined across several different technical and administrative fronts.
SMITH, LINDSEY B is the busiest examiner for the portfolio, currently overseeing 1 pending office action. With a busiest examiner pending count of 1 and a total of 3 pending office actions, it is clear that each of the 3 distinct examiners is handling exactly one case. This distribution ensures that no single examiner's backlog or specific preferences significantly impact the overall portfolio. Practitioners must account for the specific rules and trends of 3 separate art units, as there is no overlap in the current prosecution pipeline.
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 | 3 (100%) |
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 |
|---|---|---|---|
| SMITH, LINDSEY B | 1 | 51.5% | +54.3% |
| REFAI, SAM M | 1 | 34.9% | +7.4% |
| SACKALOSKY, COREY MATTHEW | 1 | 63.0% | +30.3% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17530631 | RELATED ITEM DETERMINATION AND CONTENT SELECTION BASED UPON RELATED ITEMS | SMITH, LINDSEY B | 28d |
| 17305688 | SYSTEMS AND METHODS FOR OPTIMIZING ELECTRONIC CONTENT DELIVERY FOR NON-MEASURABLE USERS | REFAI, SAM M | 29d |
| 17343119 | COMPUTERIZED SYSTEM AND METHOD FOR GENERATING A MODIFIED PREDICTION MODEL FOR PREDICTING USER ACTIONS AND RECOMMENDING CONTENT | SACKALOSKY, COREY MATTHEW | — |
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 |
|---|---|---|---|
| 17530631 | RELATED ITEM DETERMINATION AND CONTENT SELECTION BASED UPON RELATED ITEMS | SMITH, LINDSEY B | 28d |
| 17343119 | COMPUTERIZED SYSTEM AND METHOD FOR GENERATING A MODIFIED PREDICTION MODEL FOR PREDICTING USER ACTIONS AND RECOMMENDING CONTENT | SACKALOSKY, COREY MATTHEW | — |
| Art Unit | Apps |
|---|---|
| 3688 | 1 |
| 3621 | 1 |
| 2128 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 17530631 | RELATED ITEM DETERMINATION AND CONTENT SELECTION BASED UPON RELATED ITEMS | SMITH, LINDSEY B | 3688 | §101 | Final Rejection | 28d | Pending | Nov 19, 2021 |
| 17305688 | SYSTEMS AND METHODS FOR OPTIMIZING ELECTRONIC CONTENT DELIVERY FOR NON-MEASURABLE USERS | REFAI, SAM M | 3621 | §101 | Non-Final OA | 29d | Pending | Jul 13, 2021 |
| 17343119 | COMPUTERIZED SYSTEM AND METHOD FOR GENERATING A MODIFIED PREDICTION MODEL FOR PREDICTING USER ACTIONS AND RECOMMENDING CONTENT | SACKALOSKY, COREY MATTHEW | 2128 | §101 | Non-Final OA | — | Pending | Jun 09, 2021 |
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