Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Networking & Security
43 pending office actions • 24 art units • 39 examiners • 1 of 43 (2%) have an AI response strategy ready • 48 patents granted in the last 365 days
Netflix Inc. is currently managing 42 pending office actions within the Networking & Security technology area. These actions are distributed across 24 distinct art units, indicating that the company's networking innovations are categorized into many different technical groups. The involvement of 38 distinct examiners suggests that most of the 42 pending office actions are being handled by different individuals, requiring a broad and adaptable prosecution strategy.
Sarah Su is the busiest examiner for Netflix, holding 2 pending office actions. This low concentration, where the busiest examiner manages only 2 of the pending office actions, highlights the diversity of the portfolio. With 38 distinct examiners and 24 distinct art units involved, Netflix must employ a broad prosecution strategy to address the varied feedback from the USPTO and ensure that its communication technologies are effectively protected across all technical domains.
Based on the USPTO statutory response window for each pending office action. 18 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. 18 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 + other | 4 (9%) |
| §103 only | 27 (63%) |
| §102 only | 2 (5%) |
| §112 only | 1 (2%) |
| Multi-statute (no §101) | 8 (19%) |
| No statute on record | 1 (2%) |
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 |
|---|---|---|---|
| SU, SARAH | 2 | 80.2% | +18.0% |
| FEREJA, SAMUEL D | 2 | 74.8% | +10.5% |
| SULLIVAN, TYLER | 2 | 67.1% | +30.4% |
| VAUGHN JR, WILLIAM C | 2 | 33.3% | +51.2% |
| HOANG, HAU HAI | 1 | 78.2% | +13.4% |
| UNELUS, ERNEST | 1 | 77.2% | +38.7% |
| YU, XIANG | 1 | 55.3% | +46.1% |
| CHOKSHI, PINKAL R | 1 | 61.1% | +29.2% |
| HODGES, SUSAN E | 1 | 67.1% | +13.8% |
| KIR, ALBERT | 1 | 68.1% | +16.7% |
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.
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 |
|---|---|---|---|
| 17192515 | MACHINE LEARNING TECHNIQUES FOR GENERATING ENJOYMENT SIGNALS FOR WEIGHTING TRAINING DATA | FACCENDA, GISEL GABRIELA | 45d overdue |
| 18620764 | IDENTIFYING REPRESENTATIVE FRAMES IN VIDEO CONTENT | LI, RUIPING | 19d |
| 19058945 | TECHNIQUES FOR PERFORMING ENTROPY CODING ON A QUANTIZATION INDEX WHEN ENCODING VIDEO DATA | SULLIVAN, TYLER | 34d |
| 19306181 | METHODS AND SYSTEMS FOR GRAPH ABSTRACTION | HOANG, HAU HAI | — |
| 19215719 | SYSTEMS AND METHODS FOR MITIGATING LATENCY IN INPUT/OUTPUT TRANSACTIONS | UNELUS, ERNEST | — |
| 19030709 | TECHNIQUES FOR SCALING REGIONS OF INTEREST | KIR, ALBERT | — |
| 18974150 | TECHNIQUES FOR CLIENT-SIDE UPSCALING OF VIDEO GAMES | WONG, JEFFREY KEITH | — |
| 18934050 | TECHNIQUES FOR FILM GRAIN MODEL PARAMETERS SIGNALING | MUNG, ON S | — |
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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19058931 | TECHNIQUES FOR SCALING A RATE-DISTORTION MULTIPLIER WHEN PERFORMING TRELLIS CODED QUANTIZATION | FEREJA, SAMUEL D | 31d overdue |
| 19058925 | TECHNIQUES FOR SCALING STEP SIZES WHEN PERFORMING TRELLIS CODED QUANTIZATION | FEREJA, SAMUEL D | 31d overdue |
| 19058938 | TECHNIQUES FOR PERFORMING TRELLIS CODED QUANTIZATION WHEN ENCODING VIDEO DATA | SULLIVAN, TYLER | 14d |
| 19041884 | TECHNIQUES FOR DETERMINING QUALITY OF VIDEOS WITH SYNTHESIZED FILM GRAIN | VAUGHN JR, WILLIAM C | 21d |
| 19058985 | TECHNIQUES FOR PERFORMING BOTH SCALAR QUANTIZATION AND TRELLIS CODED QUANTIZATION WHEN ENCODING VIDEO DATA | HODGES, SUSAN E | 29d |
| 19058945 | TECHNIQUES FOR PERFORMING ENTROPY CODING ON A QUANTIZATION INDEX WHEN ENCODING VIDEO DATA | SULLIVAN, TYLER | 34d |
| 19306181 | METHODS AND SYSTEMS FOR GRAPH ABSTRACTION | HOANG, HAU HAI | — |
| 19215719 | SYSTEMS AND METHODS FOR MITIGATING LATENCY IN INPUT/OUTPUT TRANSACTIONS | UNELUS, ERNEST | — |
| Art Unit | Apps |
|---|---|
| 2487 | 5 |
| 2425 | 3 |
| 2485 | 2 |
| 3715 | 2 |
| 2616 | 2 |
| 2195 | 2 |
| 2161 | 2 |
| 2154 | 1 |
| 2181 | 1 |
| 2400 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19306181 | METHODS AND SYSTEMS FOR GRAPH ABSTRACTION | HOANG, HAU HAI | 2154 | §101§102§103 | Non-Final OA | — | Pending | Aug 21, 2025 |
| 19215719 | SYSTEMS AND METHODS FOR MITIGATING LATENCY IN INPUT/OUTPUT TRANSACTIONS | UNELUS, ERNEST | 2181 | §101§102§103 | Non-Final OA | — | Pending | May 22, 2025 |
| 19185119 | MODIFICATION OF A SOCKET NETWORK NAMESPACE IN RESPONSE TO A SYSTEM CALL INTERCEPTION | YU, XIANG | — | §102Other | Non-Final OA | — | Pending | Apr 21, 2025 |
| 19074137 | TECHNIQUES FOR STREAMING LIVE MEDIA CONTENT WITH MEDIA EVENTS | CHOKSHI, PINKAL R | 2425 | §103 | Non-Final OA | — | Pending | Mar 07, 2025 |
| 19070089 | TECHNIQUES FOR ACCESSING AND INTERACTING WITH DATA USING DATA ABSTRACTION LAYERS IMPLEMENTED BY A DATA GATEWAY | SU, SARAH | — | §103 | Non-Final OA | — | Pending | Mar 04, 2025 |
| 19070092 | TECHNIQUES FOR ACCESSING AND INTERACTING WITH DATA USING DATA ABSTRACTION LAYERS IMPLEMENTED BY A DATA GATEWAY | SU, SARAH | — | §103 | Non-Final OA | — | Pending | Mar 04, 2025 |
| 19058931 | TECHNIQUES FOR SCALING A RATE-DISTORTION MULTIPLIER WHEN PERFORMING TRELLIS CODED QUANTIZATION | FEREJA, SAMUEL D | 2487 | §103 | Non-Final OA | 31d overdue | Pending | Feb 20, 2025 |
| 19058985 | TECHNIQUES FOR PERFORMING BOTH SCALAR QUANTIZATION AND TRELLIS CODED QUANTIZATION WHEN ENCODING VIDEO DATA | HODGES, SUSAN E | 2425 | §102 | Final Rejection | 29d | Pending | Feb 20, 2025 |
| 19058925 | TECHNIQUES FOR SCALING STEP SIZES WHEN PERFORMING TRELLIS CODED QUANTIZATION | FEREJA, SAMUEL D | 2487 | §103 | Final Rejection | 31d overdue | Pending | Feb 20, 2025 |
| 19058945 | TECHNIQUES FOR PERFORMING ENTROPY CODING ON A QUANTIZATION INDEX WHEN ENCODING VIDEO DATA | SULLIVAN, TYLER | 2487 | §103§112 | Final Rejection | 34d | Pending | Feb 20, 2025 |
| 19058938 | TECHNIQUES FOR PERFORMING TRELLIS CODED QUANTIZATION WHEN ENCODING VIDEO DATA | SULLIVAN, TYLER | 2487 | §103 | Final Rejection | 14d | Pending | Feb 20, 2025 |
| 19041884 | TECHNIQUES FOR DETERMINING QUALITY OF VIDEOS WITH SYNTHESIZED FILM GRAIN | VAUGHN JR, WILLIAM C | 2400 | §103Other | Final Rejection | 21d | Pending | Jan 30, 2025 |
| 19030709 | TECHNIQUES FOR SCALING REGIONS OF INTEREST | KIR, ALBERT | 2485 | §102§103 | Final Rejection | — | Pending | Jan 17, 2025 |
| 18974150 | TECHNIQUES FOR CLIENT-SIDE UPSCALING OF VIDEO GAMES | WONG, JEFFREY KEITH | 3715 | §101§102§112 | Non-Final OA | — | Pending | Dec 09, 2024 |
| 18961013 | PLAYBACK SIGNAL MANAGEMENT | ROBINSON, CHRISTOPHER B | 2443 | §103 | Non-Final OA | — | Pending | Nov 26, 2024 |
| 18959280 | AI-Driven Generation of Video Content Meeting Professional Film Standards | YANG, YI | 2616 | §103 | Non-Final OA | — | Pending | Nov 25, 2024 |
| 18934050 | TECHNIQUES FOR FILM GRAIN MODEL PARAMETERS SIGNALING | MUNG, ON S | 2486 | §102§103 | Non-Final OA | — | Pending | Oct 31, 2024 |
| 18908563 | SYSTEMS AND METHODS FOR PROVIDING OPTIMIZED TIME SCALES AND ACCURATE PRESENTATION TIME STAMPS | VAUGHN JR, WILLIAM C | 2484 | §103Other | Non-Final OA | — | Pending | Oct 07, 2024 |
| 18905006 | TECHNIQUES FOR LEARNING CO-ENGAGEMENT AND SEMANTIC RELATIONSHIPS USING GRAPH NEURAL NETWORKS | KOLB JR, BRETT DAVID | — | §102§103 | Non-Final OA | — | Pending | Oct 02, 2024 |
| 18904036 | TECHNIQUES FOR DEBANDING IN THE INVERSE TRANSFORM STAGE OF A VIDEO CODING PIPELINE | SUH, JOSEPH JINWOO | 2485 | — | Non-Final OA | 30d | Pending | Oct 01, 2024 |
| 18886700 | SYSTEMS AND METHODS FOR INTEGRATING CHATBOTS INTO APPLICATIONS | CASTANEDA, IVAN ALEXANDER | 2195 | §103 | Non-Final OA | — | Pending | Sep 16, 2024 |
| 18882561 | TECHNIQUES FOR OPTIMIZED ROUTING OF INPUTS TO MACHINE LEARNING MODELS | PRESSLY, KURT NICHOLAS | — | §101§103§112 | Non-Final OA | — | Pending | Sep 11, 2024 |
| 18829009 | TECHNIQUES FOR OPTIMIZED STORAGE UTILIZATION IN LIVE ORIGIN SERVERS | GIROUARD, JANICE MARIE | 2138 | §112 | Non-Final OA | — | Pending | Sep 09, 2024 |
| 18829023 | TECHNIQUES FOR OPTIMIZED STORAGE UTILIZATION IN LIVE ORIGIN SERVERS | JOHNSON-CALDERON, FRANK J | 2425 | §103 | Final Rejection | — | Pending | Sep 09, 2024 |
| 18824687 | TECHNIQUES FOR ADAPTIVE MULTI-LEVEL RECOMMENDATION USING HIERARCHICAL MIXTURE-OF-EXPERTS FRAMEWORK | WEHOVZ, OSCAR | 2161 | §103 | Non-Final OA | 5d overdue | Pending | Sep 04, 2024 |
| 18679215 | IMPLEMENTING AND MAINTAINING FEEDBACK LOOPS IN RECOMMENDATION SYSTEMS | HUANG, FRANK F | — | §103 | Non-Final OA | — | Pending | May 30, 2024 |
| 18649857 | TECHNIQUES FOR SIMULATING A LIVE EDGE IN A LIVE FIELD TEST | SALCE, JASON P | 2421 | §103 | Non-Final OA | 56d | Pending | Apr 29, 2024 |
| 18630074 | OPTIMIZING DEEP LEARNING RECOMMENDER MODEL DATA PIPELINES WITH REINFORCEMENT LEARNING | MAUNI, HUMAIRA ZAHIN | — | §103 | Non-Final OA | — | Pending | Apr 09, 2024 |
| 18625894 | TECHNIQUES FOR GENERATING MATTES FOR IMAGES | WELCH, DAVID T | 2613 | §103 | Non-Final OA | 30d | Pending | Apr 03, 2024 |
| 18620764 | IDENTIFYING REPRESENTATIVE FRAMES IN VIDEO CONTENT | LI, RUIPING | 2676 | §102§103 | Non-Final OA | 19d | Pending | Mar 28, 2024 |
| 18593831 | PARALLEL JOIN APPLICATION FOR MACHINE LEARNING FEATURES | MILLER, ALAN S | — | §102§112 | Non-Final OA | — | Pending | Mar 01, 2024 |
| 18396583 | TECHNIQUES FOR GENERATING DUBBED MEDIA CONTENT ITEMS | IMPERIAL, JED-JUSTIN | 2616 | §102§103 | Non-Final OA | — | Pending | Dec 26, 2023 |
| 18530138 | MAINTAINING READ-AFTER-WRITE CONSISTENCY BETWEEN DATASET SNAPSHOTS ACROSS A DISTRIBUTED ARCHITECTURE | CHBOUKI, TAREK | 2165 | §103Other | Non-Final OA | 43d | Pending | Dec 05, 2023 |
| 18530139 | MAINTAINING READ-AFTER-WRITE CONSISTENCY BETWEEN DATASET SNAPSHOTS ACROSS A DISTRIBUTED ARCHITECTURE | SYED, FARHAN M | 2161 | §103 | Non-Final OA | — | Pending | Dec 05, 2023 |
| 18506881 | IMAGE LEARNING MODEL | ZUBERI, MOHAMMED H | 2178 | §103 | Non-Final OA | 43d overdue | Pending | Nov 10, 2023 |
| 18502717 | DISPLAYING A SCENE TO A SUBJECT WHILE CAPTURING THE SUBJECTS ACTING PERFORMANCE USING MULTIPLE SENSORS | MEROUAN, ABDERRAHIM | 2683 | §103 | Non-Final OA | — | Pending | Nov 06, 2023 |
| 18465794 | HYBRID TASK EXECUTION FRAMEWORK FOR SEAMLESS TASK EXECUTION WITHIN CLOUD-NATIVE PIPELINES | SUN, ANDREW NMN | 2195 | §103 | Non-Final OA | 68d | Pending | Sep 12, 2023 |
| 18193615 | SYSTEMS AND METHODS FOR GENERATING ADAPTIVE CONTROL LAYOUTS FOR SECOND SCREEN DEVICES | HARPER, TRAMAR YONG | 3715 | §103 | Non-Final OA | 12d | Pending | Mar 30, 2023 |
| 18060330 | PLATFORM AND ARCHITECTURE FOR DISTRIBUTING CONTENT INFORMATION | NGUYEN, CHAU T | 2145 | §103 | Final Rejection | 17d overdue | Pending | Nov 30, 2022 |
| 17409580 | EFFICIENT ENCODING OF FILM GRAIN NOISE | CHANG, DANIEL | 2487 | §103 | Non-Final OA | — | Pending | Aug 23, 2021 |
| 17372341 | NETWORKING-RELATED SYSTEM CALL INTERCEPTION AND MODIFICATION | JORDAN, KIMBERLY L | 2194 | §103 | Final Rejection | 13d | AI Ready | Jul 09, 2021 |
| 17192515 | MACHINE LEARNING TECHNIQUES FOR GENERATING ENJOYMENT SIGNALS FOR WEIGHTING TRAINING DATA | FACCENDA, GISEL GABRIELA | 2127 | §103§112 | Final Rejection | 45d overdue | Pending | Mar 04, 2021 |
| 17135576 | ONLINE COMPUTER SYSTEM WITH METHODOLOGIES FOR DISTRIBUTED TRACE AGGREGATION AND FOR TARGETED DISTRIBUTED TRACING | RAZA, MUHAMMAD A | 2449 | §103 | Non-Final OA | — | Pending | Dec 28, 2020 |
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