Prosecution Insights
Prosecution Insights
Technology areas: Transportation, E-Commerce & Mechanical Systems • Medical Devices & Mechanical Engineering
9 pending office actions • 4 art units • 8 examiners • 0 of 9 (0%) have an AI response strategy ready • 15 patents granted in the last 365 days
Warner Bros. Entertainment Inc. has 10 pending office actions in the Transportation, E-Commerce & Mechanical Systems technology area. These actions are spread across 5 distinct art units, showing a range of technical interests within this sector. The company is working with 9 distinct examiners for these 10 pending matters. Tanner L Cullen is the busiest examiner, overseeing 2 pending office actions.
The other actions are each handled by a different examiner. This distribution across 5 distinct art units suggests that the company's innovations are categorized into several different technical niches. Because 9 distinct examiners are involved in 10 actions, the company must manage a high ratio of examiners to pending matters. Tanner L Cullen manages 2 of the active cases. The number of examiners is higher than the 5 distinct art units involved.
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 | 3 (33%) |
| §103 only | 4 (44%) |
| Double-patenting only | 1 (11%) |
| Double-patenting + other | 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 |
|---|---|---|---|
| CULLEN, TANNER L | 2 | 71.8% | +16.2% |
| NEWLIN, TIMOTHY R | 1 | 82.9% | +13.2% |
| PARRA, OMAR S | 1 | 74.4% | +9.2% |
| YEN, JASON TAHAI | 1 | 77.0% | +23.6% |
| MARIAM, DANIEL G | 1 | 90.6% | +10.4% |
| PIERCE, DAMON JOSEPH | 1 | 75.7% | +28.4% |
| GRANT, MICHAEL CHRISTOPHER | 1 | 21.8% | +7.4% |
| MOSSER, ROBERT E | 1 | 46.7% | +9.8% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19276588 | SYSTEMS AND METHODS FOR OUTPUTTING ENTERTAINMENT CONTENT IN VEHICLES | NEWLIN, TIMOTHY R | — |
| 18985951 | SCANNER NOISE ELIMINATION FOR SCANNED FILMS | MARIAM, DANIEL G | — |
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 |
|---|---|---|---|
| 17602725 | SCALABLE SIMULATION AND AUTOMATED TESTING OF MOBILE VIDEOGAMES | MOSSER, ROBERT E | 16d overdue |
| 18989663 | FLEXIBLE COMPUTER GAMING BASED ON MACHINE LEARNING | YEN, JASON TAHAI | — |
| 16923033 | SOCIAL INTERACTIVE APPLICATIONS USING BIOMETRIC SENSOR DATA FOR DETECTION OF NEURO-PHYSIOLOGICAL STATE | GRANT, MICHAEL CHRISTOPHER | — |
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 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19276588 | SYSTEMS AND METHODS FOR OUTPUTTING ENTERTAINMENT CONTENT IN VEHICLES | NEWLIN, TIMOTHY R | — |
| 19027833 | CONTROL OF SOCIAL ROBOT BASED ON PRIOR CHARACTER PORTRAYAL | CULLEN, TANNER L | — |
| 18989663 | FLEXIBLE COMPUTER GAMING BASED ON MACHINE LEARNING | YEN, JASON TAHAI | — |
| 18985951 | SCANNER NOISE ELIMINATION FOR SCANNED FILMS | MARIAM, DANIEL G | — |
| 18978236 | SYSTEMS AND METHODS FOR CONTROLLING NON-PLAYER CHARACTERS BASED ON CONTROL PARAMETERS IN VIDEO GAMING | PIERCE, DAMON JOSEPH | — |
| 18130405 | CONTROL OF SOCIAL ROBOT BASED ON PRIOR CHARACTER PORTRAYAL | CULLEN, TANNER L | — |
| Art Unit | Apps |
|---|---|
| 3656 | 2 |
| 3715 | 2 |
| 2421 | 1 |
| 2668 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19276588 | SYSTEMS AND METHODS FOR OUTPUTTING ENTERTAINMENT CONTENT IN VEHICLES | NEWLIN, TIMOTHY R | — | §103 | Non-Final OA | — | Pending | Jul 22, 2025 |
| 19095405 | PARTIAL FRAME REPLACEMENT ENABLING MULTIPLE VERSIONS IN AN INTEGRATED VIDEO PACKAGE | PARRA, OMAR S | 2421 | §103Other | Final Rejection | — | Pending | Mar 31, 2025 |
| 19027833 | CONTROL OF SOCIAL ROBOT BASED ON PRIOR CHARACTER PORTRAYAL | CULLEN, TANNER L | 3656 | §103Other | Final Rejection | — | Pending | Jan 17, 2025 |
| 18989663 | FLEXIBLE COMPUTER GAMING BASED ON MACHINE LEARNING | YEN, JASON TAHAI | — | §101Other | Non-Final OA | — | Pending | Dec 20, 2024 |
| 18985951 | SCANNER NOISE ELIMINATION FOR SCANNED FILMS | MARIAM, DANIEL G | 2668 | DP | Non-Final OA | — | Pending | Dec 18, 2024 |
| 18978236 | SYSTEMS AND METHODS FOR CONTROLLING NON-PLAYER CHARACTERS BASED ON CONTROL PARAMETERS IN VIDEO GAMING | PIERCE, DAMON JOSEPH | — | §103DP | Non-Final OA | — | Pending | Dec 12, 2024 |
| 16923033 | SOCIAL INTERACTIVE APPLICATIONS USING BIOMETRIC SENSOR DATA FOR DETECTION OF NEURO-PHYSIOLOGICAL STATE | GRANT, MICHAEL CHRISTOPHER | 3715 | §101 | Non-Final OA | — | Pending | Dec 06, 2023 |
| 18130405 | CONTROL OF SOCIAL ROBOT BASED ON PRIOR CHARACTER PORTRAYAL | CULLEN, TANNER L | 3656 | §103 | Non-Final OA | — | Pending | Apr 03, 2023 |
| 17602725 | SCALABLE SIMULATION AND AUTOMATED TESTING OF MOBILE VIDEOGAMES | MOSSER, ROBERT E | 3715 | §101 | Non-Final OA | 16d overdue | Pending | Feb 08, 2022 |
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