Prosecution Insights
Prosecution Insights
9 pending office actions • 2 clients • 9 examiners • 8 art units • 0 of 9 (0%) have an AI response strategy ready • 7 patents granted in the last 365 days
Based on the USPTO statutory response window for each pending office action. 5 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 5 of the docket's apps have a known mailing date.
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 | 2 (22%) |
| §101 + other | 5 (56%) |
| §103 only | 1 (11%) |
| Multi-statute (no §101) | 1 (11%) |
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 |
|---|---|---|---|
| SANTOS-DIAZ, MARIA C | 1 | 33.4% | +31.4% |
| CHOI, YUK TING | 1 | 71.5% | +36.5% |
| ORTIZ DITREN, BELIX M | 1 | 84.2% | +2.2% |
| KANG, TIMOTHY J | 1 | 45.6% | +25.2% |
| PATEL, DIPEN M | 1 | 20.3% | +24.3% |
| KY, KEVIN | 1 | 77.1% | +25.5% |
| SULTANA, NADIRA | 1 | 73.1% | +33.7% |
| LEE, WILLIAM MICHAEL | 1 | — | — |
| LEE, JENNIFER V | 1 | 25.3% | +40.3% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18166415 | SEQUENTIAL MODEL FOR DETERMINING USER REPRESENTATIONS | LEE, WILLIAM MICHAEL | 31d overdue |
| 18626137 | RECOMMENDATION CAMPAIGNS BASED ON PREDICTED SHORT-TERM USER BEHAVIOR AND PREDICTED LONG-TERM USER BEHAVIOR | PATEL, DIPEN M | 9d overdue |
| 19246305 | PREDICTIVE MACHINE LEARNING MODELS | SANTOS-DIAZ, MARIA C | 55d |
| 18499984 | IDENTIFYING IMAGE BASED CONTENT ITEMS USING A LARGE LANGUAGE MODEL | SULTANA, NADIRA | 83d |
| 19048322 | DYNAMIC FILTER RECOMMENDATIONS | ORTIZ DITREN, BELIX M | 84d |
| 19075460 | SUGGESTING OBJECT IDENTIFIERS TO INCLUDE IN A COMMUNICATION | CHOI, YUK TING | — |
| 18678748 | RECOMMENDING CONTENT ITEMS BASED ON A LONG-TERM OBJECTIVE | KANG, TIMOTHY J | — |
| 17860765 | OBJECT IDENTIFIERS FOR REAL WORLD OBJECTS | LEE, JENNIFER V | — |
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 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18626137 | RECOMMENDATION CAMPAIGNS BASED ON PREDICTED SHORT-TERM USER BEHAVIOR AND PREDICTED LONG-TERM USER BEHAVIOR | PATEL, DIPEN M | 9d overdue |
| 19246305 | PREDICTIVE MACHINE LEARNING MODELS | SANTOS-DIAZ, MARIA C | 55d |
| 18499984 | IDENTIFYING IMAGE BASED CONTENT ITEMS USING A LARGE LANGUAGE MODEL | SULTANA, NADIRA | 83d |
| 19075460 | SUGGESTING OBJECT IDENTIFIERS TO INCLUDE IN A COMMUNICATION | CHOI, YUK TING | — |
| 18678748 | RECOMMENDING CONTENT ITEMS BASED ON A LONG-TERM OBJECTIVE | KANG, TIMOTHY J | — |
| 18595166 | EMBEDDING INFERENCE | KY, KEVIN | — |
| 17860765 | OBJECT IDENTIFIERS FOR REAL WORLD OBJECTS | LEE, JENNIFER V | — |
| Client (Assignee) | Pending OAs |
|---|---|
| Pinterest, Inc. | 8 |
| Doma Technology LLC | 1 |
| Art Unit | Apps |
|---|---|
| 3629 | 1 |
| 2164 | 1 |
| 3689 | 1 |
| 3621 | 1 |
| 2671 | 1 |
| 2653 | 1 |
| 2145 | 1 |
| 3688 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19246305 | PREDICTIVE MACHINE LEARNING MODELS | Doma Technology LLC | SANTOS-DIAZ, MARIA C | 3629 | §101Other | Non-Final OA | 55d | Pending | Jun 23, 2025 |
| 19075460 | SUGGESTING OBJECT IDENTIFIERS TO INCLUDE IN A COMMUNICATION | Pinterest, Inc. | CHOI, YUK TING | §102§103 | Non-Final OA | — | Pending | Mar 10, 2025 | |
| 19048322 | DYNAMIC FILTER RECOMMENDATIONS | Pinterest, Inc. | ORTIZ DITREN, BELIX M | 2164 | §101§102 | Final Rejection | 84d | Pending | Feb 07, 2025 |
| 18678748 | RECOMMENDING CONTENT ITEMS BASED ON A LONG-TERM OBJECTIVE | Pinterest, Inc. | KANG, TIMOTHY J | 3689 | §101§102§103 | Final Rejection | — | Pending | May 30, 2024 |
| 18626137 | RECOMMENDATION CAMPAIGNS BASED ON PREDICTED SHORT-TERM USER BEHAVIOR AND PREDICTED LONG-TERM USER BEHAVIOR | Pinterest, Inc. | PATEL, DIPEN M | 3621 | §101 | Non-Final OA | 9d overdue | Pending | Apr 03, 2024 |
| 18595166 | EMBEDDING INFERENCE | Pinterest, Inc. | KY, KEVIN | 2671 | §103 | Non-Final OA | — | Pending | Mar 04, 2024 |
| 18499984 | IDENTIFYING IMAGE BASED CONTENT ITEMS USING A LARGE LANGUAGE MODEL | Pinterest, Inc. | SULTANA, NADIRA | 2653 | §101§102 | Final Rejection | 83d | Pending | Nov 01, 2023 |
| 18166415 | SEQUENTIAL MODEL FOR DETERMINING USER REPRESENTATIONS | Pinterest, Inc. | LEE, WILLIAM MICHAEL | 2145 | §101§103 | Final Rejection | 31d overdue | Pending | Feb 08, 2023 |
| 17860765 | OBJECT IDENTIFIERS FOR REAL WORLD OBJECTS | Pinterest, Inc. | LEE, JENNIFER V | 3688 | §101§102§103§112 | Final Rejection | — | Pending | Jul 08, 2022 |
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