Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
9 pending office actions • 2 clients • 9 examiners • 7 art units • 0 of 9 (0%) have an AI response strategy ready • 12 patents granted in the last 365 days
Gustafson IP focuses on Computing & Software and records 46 career applications with 7 pending office actions. Its resolved allowance rate is 93.75%, and the average number of office actions per allowance is 3.87.
The application record contains 46 matters, with 7 office actions still pending. The resolved allowance rate is high within the supplied profile, while the 3.87 action average indicates that allowances have involved multiple office actions on average.
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 | 2 (22%) |
| §101 + other | 4 (44%) |
| §103 only | 2 (22%) |
| 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 |
|---|---|---|---|
| VY, HUNG T | 1 | 86.3% | +2.4% |
| SANTOS-DIAZ, MARIA C | 1 | 32.7% | +31.4% |
| CHOI, YUK TING | 1 | 71.5% | +36.4% |
| ORTIZ DITREN, BELIX M | 1 | 84.1% | +2.6% |
| HICKS, SHIRLEY D. | 1 | 60.3% | +51.2% |
| GARG, YOGESH C | 1 | 61.7% | +33.4% |
| KANG, TIMOTHY J | 1 | 45.5% | +27.0% |
| PRINCE, JESSICA MARIE | 1 | 77.3% | +15.6% |
| LEE, JENNIFER V | 1 | 24.9% | +39.1% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 7 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19246305 | PREDICTIVE MACHINE LEARNING MODELS | SANTOS-DIAZ, MARIA C | 55d |
| 19048322 | DYNAMIC FILTER RECOMMENDATIONS | ORTIZ DITREN, BELIX M | 84d |
| 19336426 | DATA EXTRACTION APPROACH FOR RETAIL CRAWLING ENGINE | VY, HUNG T | — |
| 19075460 | SUGGESTING OBJECT IDENTIFIERS TO INCLUDE IN A COMMUNICATION | CHOI, YUK TING | — |
| 18828628 | PROBABILISTIC DETERMINATION OF COMPATIBLE CONTENT | GARG, YOGESH C | — |
| 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 |
|---|---|---|---|
| 19246305 | PREDICTIVE MACHINE LEARNING MODELS | SANTOS-DIAZ, MARIA C | 55d |
| 19075460 | SUGGESTING OBJECT IDENTIFIERS TO INCLUDE IN A COMMUNICATION | CHOI, YUK TING | — |
| 18927713 | GENERATING CUSTOMIZED CONTENT USING A GENERATIVE MODEL | HICKS, SHIRLEY D. | — |
| 18828628 | PROBABILISTIC DETERMINATION OF COMPATIBLE CONTENT | GARG, YOGESH C | — |
| 18678748 | RECOMMENDING CONTENT ITEMS BASED ON A LONG-TERM OBJECTIVE | KANG, TIMOTHY J | — |
| 18592099 | END-TO-END TRAINED GENERATIVE SLATE RECOMMENDATION MODEL | PRINCE, JESSICA MARIE | — |
| 17860765 | OBJECT IDENTIFIERS FOR REAL WORLD OBJECTS | LEE, JENNIFER V | — |
| Client (Assignee) | Pending OAs |
|---|---|
| Pinterest, Inc. | 8 |
| Doma Technology LLC | 1 |
| Art Unit | Apps |
|---|---|
| 2164 | 2 |
| 3688 | 2 |
| 2163 | 1 |
| 3629 | 1 |
| 2168 | 1 |
| 3689 | 1 |
| 2486 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19336426 | DATA EXTRACTION APPROACH FOR RETAIL CRAWLING ENGINE | Pinterest, Inc. | VY, HUNG T | 2163 | §101§102§103Other | Non-Final OA | — | Pending | Sep 22, 2025 |
| 19246305 | PREDICTIVE MACHINE LEARNING MODELS | Doma Technology LLC | SANTOS-DIAZ, MARIA C | 3629 | §101Other | Final Rejection | 55d | Pending | Jun 23, 2025 |
| 19075460 | SUGGESTING OBJECT IDENTIFIERS TO INCLUDE IN A COMMUNICATION | Pinterest, Inc. | CHOI, YUK TING | 2164 | §102§103 | Final Rejection | — | Pending | Mar 10, 2025 |
| 19048322 | DYNAMIC FILTER RECOMMENDATIONS | Pinterest, Inc. | ORTIZ DITREN, BELIX M | 2164 | §101§103 | Non-Final OA | 84d | Pending | Feb 07, 2025 |
| 18927713 | GENERATING CUSTOMIZED CONTENT USING A GENERATIVE MODEL | Pinterest, Inc. | HICKS, SHIRLEY D. | 2168 | §103 | Non-Final OA | — | Pending | Oct 25, 2024 |
| 18828628 | PROBABILISTIC DETERMINATION OF COMPATIBLE CONTENT | Pinterest, Inc. | GARG, YOGESH C | 3688 | §101 | Non-Final OA | — | Pending | Sep 09, 2024 |
| 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 |
| 18592099 | END-TO-END TRAINED GENERATIVE SLATE RECOMMENDATION MODEL | Pinterest, Inc. | PRINCE, JESSICA MARIE | 2486 | §103 | Non-Final OA | — | Pending | Feb 29, 2024 |
| 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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Start Free Trial93.8% of resolved applications prosecuted by Gustafson Ip were allowed, across 46 applications in USPTO records.
3.87 office actions per allowed application on average.
9 pending office actions as of October 2026, for 2 clients, before 9 examiners in 7 art units.
