Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
9 pending office actions • 1 client • 9 examiners • 6 art units • 0 of 9 (0%) have an AI response strategy ready • 9 patents granted in the last 365 days
Gustafson IP focuses on Transportation, E-Commerce & Mechanical Systems. The firm has managed 44 career applications, achieving a resolved allowance rate of 92.86 percent. This success comes with an average of 3.85 office actions per allowance, indicating a detailed prosecution cycle.
The firm currently has 8 pending office actions. The 92.86 percent allowance rate demonstrates a high success rate for the firm's 44 career applications. Practitioners can note that the 3.85 average office actions per allowance suggests the firm is willing to engage in multiple rounds of negotiation to secure these allowances. The data is particularly impressive given the firm's focus on Transportation, E-Commerce & Mechanical Systems. This thorough approach is currently being applied to the 8 pending office actions on the firm's docket. With 44 career applications, the firm has shown it can achieve a 92.86 percent allowance rate through persistent examiner interaction.
Based on the USPTO statutory response window for each pending office action. 1 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% | +2.2% |
| CHOI, YUK TING | 1 | 71.5% | +36.4% |
| ORTIZ DITREN, BELIX M | 1 | 84.2% | +2.4% |
| HICKS, SHIRLEY D. | 1 | 60.8% | +50.5% |
| GARG, YOGESH C | 1 | 61.7% | +33.4% |
| KANG, TIMOTHY J | 1 | 45.7% | +26.8% |
| PRINCE, JESSICA MARIE | 1 | 77.3% | +15.3% |
| VAN BRAMER, JOHN W | 1 | 33.2% | +33.4% |
| LEE, JENNIFER V | 1 | 25.1% | +39.7% |
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 |
|---|---|---|---|
| 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 | — |
| 18324048 | PROMOTING REPRESENTATIONS OF ITEMS TO USERS ON BEHALF OF SELLERS OF THOSE ITEMS | VAN BRAMER, JOHN W | — |
| 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 |
|---|---|---|---|
| 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 | — |
| 18324048 | PROMOTING REPRESENTATIONS OF ITEMS TO USERS ON BEHALF OF SELLERS OF THOSE ITEMS | VAN BRAMER, JOHN W | — |
| 17860765 | OBJECT IDENTIFIERS FOR REAL WORLD OBJECTS | LEE, JENNIFER V | — |
| Client (Assignee) | Pending OAs |
|---|---|
| Pinterest, Inc. | 9 |
| Art Unit | Apps |
|---|---|
| 3688 | 2 |
| 2163 | 1 |
| 2164 | 1 |
| 2168 | 1 |
| 3689 | 1 |
| 3622 | 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 |
| 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 | 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 | §103 | Non-Final OA | — | Pending | Feb 29, 2024 | |
| 18324048 | PROMOTING REPRESENTATIONS OF ITEMS TO USERS ON BEHALF OF SELLERS OF THOSE ITEMS | Pinterest, Inc. | VAN BRAMER, JOHN W | 3622 | §101 | Non-Final OA | — | Pending | May 25, 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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