Technology area: Communications
27 pending office actions • 1 client • 24 examiners • 13 art units • 5 of 27 (19%) have an AI response strategy ready • 114 patents granted in the last 365 days
HONIGMAN LLP-GOOGLE has 26 pending office actions in Communications. The profile reports 6022 career applications, a 90.75% resolved allowance rate, and an average of 3.35 office actions per allowance.
The current client-specific docket is smaller than the broader historical application base represented by the profile. The outcome rate indicates that most resolved applications reach allowance, while the response average indicates that allowed matters commonly involve several office actions. Practitioners should use the historical measures as context rather than treating them as a separate client-specific outcome record.
Based on the USPTO statutory response window for each pending office action. 3 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. 3 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 | 5 (19%) |
| §103 only | 14 (52%) |
| §112 only | 1 (4%) |
| Multi-statute (no §101) | 7 (26%) |
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 |
|---|---|---|---|
| LAM, PHILIP HUNG FAI | 2 | 83.8% | +50.7% |
| PATEL, SHREYANS A | 2 | 88.4% | +7.9% |
| CHUNG, DANIEL WONSUK | 2 | 61.4% | +33.7% |
| BECKER, TYLER JUSTIN | 1 | 75.9% | +12.7% |
| CASTILLO-TORRES, KEISHA Y | 1 | 74.4% | +33.7% |
| CADORNA, CHRISTOPHER PALACA | 1 | 66.4% | +19.1% |
| PULLIAS, JESSE SCOTT | 1 | 82.6% | +12.4% |
| TENGBUMROONG, NATHAN NARA | 1 | 40.7% | +34.1% |
| MARLOW, ALEXANDER G | 1 | 79.1% | +17.8% |
| RILEY, MARCUS T | 1 | 76.3% | +16.0% |
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 |
|---|---|---|---|
| 19057217 | Streaming, Array-Agnostic, Full- and Sub-Band Modeling Front- End for Robust Automatic Speech Recognition | LAM, PHILIP HUNG FAI | — |
| 18796738 | Variational Embedding Capacity in Expressive End-to-End Speech Synthesis | PATEL, SHREYANS A | — |
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 |
|---|---|---|---|
| 18439630 | USING TEXT-INJECTION TO RECOGNIZE SPEECH WITHOUT TRANSCRIPTION | OGUNBIYI, OLUWADAMILOL M | 30d |
| 18188632 | Streaming End-to-end Multilingual Speech Recognition with Joint Language Identification | ISKENDER, ALVIN ALIK | 34d |
| 19063261 | Phrase Extraction for ASR Models | PULLIAS, JESSE SCOTT | — |
| 19010299 | Disfluency Detection Models for Natural Conversational Voice Systems | CHAVEZ, RODRIGO A | — |
| 19006051 | Liaising Multi-Information and Actions Around Contextually Specific Requests | LAM, PHILIP HUNG FAI | — |
| 18970857 | Personalizing Edge Device Queries When Full Context is Unavailable | HALE, BROOKS T | — |
| 18951572 | Injecting Text in Self-Supervised Speech Pre-training | PATEL, SHREYANS A | — |
| 18891615 | CHAIN OF THOUGHT REASONING FOR ASR | OPSASNICK, MICHAEL N | — |
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 |
|---|---|---|---|
| 19117206 | AUGMENTING TRAINING OF SEQUENCE TRANSDUCTION MODELS USING TOKEN-LEVEL LOSSES | BECKER, TYLER JUSTIN | — |
| 19090292 | Conformer-based Speech Conversion Model | CASTILLO-TORRES, KEISHA Y | — |
| 19072956 | Scalable Event Driven Auto-Diagnosis System | CADORNA, CHRISTOPHER PALACA | — |
| 19063261 | Phrase Extraction for ASR Models | PULLIAS, JESSE SCOTT | — |
| 19057217 | Streaming, Array-Agnostic, Full- and Sub-Band Modeling Front- End for Robust Automatic Speech Recognition | LAM, PHILIP HUNG FAI | — |
| 19052769 | Quantifying Unintended Memorization in Automated Speech Recognition Encoders | TENGBUMROONG, NATHAN NARA | — |
| 19041217 | Sub-models For Neural Contextual Biasing | MARLOW, ALEXANDER G | — |
| 19034440 | Audio-Adapter Fusion for Efficient and Non-Destructive Multi- Task Speech Recognition | RILEY, MARCUS T | — |
| Client (Assignee) | Pending OAs |
|---|---|
| 27 |
| Art Unit | Apps |
|---|---|
| 2659 | 5 |
| 2655 | 3 |
| 2654 | 3 |
| 2658 | 3 |
| 2653 | 3 |
| 2656 | 2 |
| 2657 | 1 |
| 2444 | 1 |
| 2168 | 1 |
| 2166 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19117206 | AUGMENTING TRAINING OF SEQUENCE TRANSDUCTION MODELS USING TOKEN-LEVEL LOSSES | Google LLC | BECKER, TYLER JUSTIN | 2657 | §103 | Non-Final OA | — | Pending | Mar 31, 2025 |
| 19090292 | Conformer-based Speech Conversion Model | Google LLC | CASTILLO-TORRES, KEISHA Y | 2659 | §103Other | Non-Final OA | — | Pending | Mar 25, 2025 |
| 19072956 | Scalable Event Driven Auto-Diagnosis System | Google LLC | CADORNA, CHRISTOPHER PALACA | 2444 | §103 | Non-Final OA | — | Pending | Mar 06, 2025 |
| 19063261 | Phrase Extraction for ASR Models | Google LLC | PULLIAS, JESSE SCOTT | 2655 | §102§103Other | Non-Final OA | — | Pending | Feb 25, 2025 |
| 19057217 | Streaming, Array-Agnostic, Full- and Sub-Band Modeling Front- End for Robust Automatic Speech Recognition | Google LLC | LAM, PHILIP HUNG FAI | §112 | Non-Final OA | — | Pending | Feb 19, 2025 | |
| 19052769 | Quantifying Unintended Memorization in Automated Speech Recognition Encoders | Google LLC | TENGBUMROONG, NATHAN NARA | 2654 | §103 | Non-Final OA | — | Pending | Feb 13, 2025 |
| 19041217 | Sub-models For Neural Contextual Biasing | Google LLC | MARLOW, ALEXANDER G | 2658 | §103Other | Non-Final OA | — | Pending | Jan 30, 2025 |
| 19034440 | Audio-Adapter Fusion for Efficient and Non-Destructive Multi- Task Speech Recognition | Google LLC | RILEY, MARCUS T | 2654 | §103 | Non-Final OA | — | Pending | Jan 22, 2025 |
| 19010299 | Disfluency Detection Models for Natural Conversational Voice Systems | Google LLC | CHAVEZ, RODRIGO A | 2658 | §101§102§103 | Non-Final OA | — | Pending | Jan 06, 2025 |
| 19006051 | Liaising Multi-Information and Actions Around Contextually Specific Requests | Google LLC | LAM, PHILIP HUNG FAI | 2656 | §102§103 | Non-Final OA | — | Pending | Dec 30, 2024 |
| 18970803 | Assigning Weights to a Query's Context for an On-Device Model | Google LLC | HICKS, SHIRLEY D. | 2168 | §103 | Non-Final OA | — | Pending | Dec 05, 2024 |
| 18970857 | Personalizing Edge Device Queries When Full Context is Unavailable | Google LLC | HALE, BROOKS T | 2166 | §101§103 | Non-Final OA | — | Pending | Dec 05, 2024 |
| 18954928 | REAL TIME ON DEVICE VOICE CONVERTER FOR PORTABLE APPLICATIONS | Google LLC | ZEVITZ, DANIELLE ELIZABETH | 2655 | §103 | Final Rejection | — | Pending | Nov 21, 2024 |
| 18951572 | Injecting Text in Self-Supervised Speech Pre-training | Google LLC | PATEL, SHREYANS A | 2659 | §101DP | Non-Final OA | — | Pending | Nov 18, 2024 |
| 18943880 | Carrier Integration Through User Network Interface Proxy | Google LLC | BATAILLE, FRANTZ | 2681 | §103 | Non-Final OA | — | Pending | Nov 11, 2024 |
| 18891615 | CHAIN OF THOUGHT REASONING FOR ASR | Google LLC | OPSASNICK, MICHAEL N | 2658 | §102§103 | Final Rejection | — | Pending | Sep 20, 2024 |
| 18890706 | Entry Points for LLM-Powered Assistants | Google LLC | VOGT, JACOB BUI | 2653 | §101§103 | Final Rejection | — | Pending | Sep 19, 2024 |
| 18826135 | QUANTIZATION AND SPARSITY AWARE FINE-TUNING FOR SPEECH RECOGNITION WITH UNIVERSAL SPEECH MODELS | Google LLC | KAZEMINEZHAD, FARZAD | 2653 | §101§103DP | Final Rejection | — | Pending | Sep 05, 2024 |
| 18823644 | DETERMINING DIALOG STATES FOR LANGUAGE MODELS | Google LLC | GODBOLD, DOUGLAS | 2655 | §103 | Non-Final OA | — | Pending | Sep 03, 2024 |
| 18796738 | Variational Embedding Capacity in Expressive End-to-End Speech Synthesis | Google LLC | PATEL, SHREYANS A | 2659 | §103 | Non-Final OA | — | Pending | Aug 07, 2024 |
| 18775561 | Reducing Streaming ASR Model Delay With Self Alignment | Google LLC | CHUNG, DANIEL WONSUK | 2659 | §103 | Final Rejection | — | Pending | Jul 17, 2024 |
| 18676743 | Unsupervised Learning of Disentangled Speech Content and Style Representation | Google LLC | SUBRAMANI, NANDINI | 2656 | §103 | Final Rejection | — | AI Ready | May 29, 2024 |
| 18439630 | USING TEXT-INJECTION TO RECOGNIZE SPEECH WITHOUT TRANSCRIPTION | Google LLC | OGUNBIYI, OLUWADAMILOL M | 2653 | §102§103 | Non-Final OA | 30d | AI Ready | Feb 12, 2024 |
| 18526148 | Modular Training for Flexible Attention Based End-to-End ASR | Google LLC | JONES, CHARLES JEFFREY | 2122 | §102§103 | Final Rejection | — | AI Ready | Dec 01, 2023 |
| 18471937 | Conversational Assistants For Emergency Responders | Google LLC | RODRIGUEZ, ANTHONY JASON | 2672 | §103 | Final Rejection | 22d | AI Ready | Sep 21, 2023 |
| 18188632 | Streaming End-to-end Multilingual Speech Recognition with Joint Language Identification | Google LLC | ISKENDER, ALVIN ALIK | 2654 | §102§103 | Final Rejection | 34d | Pending | Mar 23, 2023 |
| 18055395 | Multi-Assistant Warm Words | Google LLC | CHUNG, DANIEL WONSUK | 2659 | §103§112 | Final Rejection | — | AI Ready | Nov 14, 2022 |
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Start Free Trial90.8% of resolved applications prosecuted by Honigman Llp-Google were allowed, across 6,022 applications in USPTO records.
3.35 office actions per allowed application on average.
27 pending office actions as of October 2026, for 1 client, before 24 examiners in 13 art units.
