Prosecution Insights
Prosecution Insights
Technology area: Communications
34 pending office actions • 1 client • 28 examiners • 13 art units • 7 of 34 (21%) have an AI response strategy ready • 113 patents granted in the last 365 days
HONIGMAN LLP-GOOGLE is linked to 5997 career applications in Communications. The firm currently manages 20 pending office actions. The resolved allowance rate pct is 90.81, representing the success rate for its resolved applications. This history of 5997 applications reflects the firm's extensive experience and well-established practice in the communications sector.
The average office actions per allowance is 3.36. This metric indicates the amount of examiner interaction typically required to reach an allowance. With 5997 career applications and a 90.81 resolved allowance rate pct, the firm's performance metrics are established across its primary technology area. The average of 3.36 office actions per allowance provides a baseline for predicting prosecution timelines. The 20 pending office actions show the firm's current activity for this client relationship.
Based on the USPTO statutory response window for each pending office action. 4 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. 4 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 only | 2 (6%) |
| §101 + other | 5 (15%) |
| §103 only | 15 (44%) |
| §102 only | 1 (3%) |
| Double-patenting only | 1 (3%) |
| Multi-statute (no §101) | 10 (29%) |
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 |
|---|---|---|---|
| SHAH, PARAS D | 3 | 73.4% | +31.0% |
| LAM, PHILIP HUNG FAI | 3 | 83.9% | +50.9% |
| PATEL, SHREYANS A | 2 | 88.7% | +8.5% |
| CHUNG, DANIEL WONSUK | 2 | 59.3% | +31.2% |
| LELAND III, EDWIN S | 1 | 75.1% | -0.5% |
| AGAHI, DARIOUSH | 1 | 83.7% | +30.1% |
| DUGDA, MULUGETA TUJI | 1 | 82.8% | +21.2% |
| MARLOW, ALEXANDER G | 1 | 78.8% | +18.4% |
| CHAVEZ, RODRIGO A | 1 | 52.5% | +38.0% |
| PULLIAS, JESSE SCOTT | 1 | 82.6% | +12.5% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19042106 | LONGFORM WORD-LEVEL END-TO-END SPEAKER DIARIZATION WITH DYNAMIC AUDIO COHORT | DUGDA, MULUGETA TUJI | — |
| 19035299 | Digital Signal Processor-Based Continued Conversation | LAM, PHILIP HUNG FAI | — |
| 19007920 | ADAPTIVE TEXT-TO-SPEECH OUTPUTS BASED ON LANGUAGE PROFICIENCY | PULLIAS, JESSE SCOTT | — |
| 18812338 | TARGET SPEAKER KEYWORD SPOTTING | 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 |
|---|---|---|---|
| 18493365 | AUTOMATED PREDICTION OF PRONUNCIATION OF TEXT ENTITIES BASED ON CO-EMITTED SPEECH RECOGNITION PREDICTIONS | SHAH, PARAS D | 19d overdue |
| 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 |
| 19075428 | Quantization Aware Training for Universal Speech Models with Recurrent Neural Network-Transducer Decoders | LELAND III, EDWIN S | — |
| 19049425 | Using Synthetic Data to Improve Word Error Rate of Differentially Private ASR Models | AGAHI, DARIOUSH | — |
| 19040527 | LANGUAGE MODEL BIASING MODULATION | SHAH, PARAS D | — |
| 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 | — |
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 |
|---|---|---|---|
| 18493365 | AUTOMATED PREDICTION OF PRONUNCIATION OF TEXT ENTITIES BASED ON CO-EMITTED SPEECH RECOGNITION PREDICTIONS | SHAH, PARAS D | 19d overdue |
| 19071732 | RECOGNIZING SPEECH IN THE PRESENCE OF ADDITIONAL AUDIO | SHAH, PARAS D | — |
| 19049425 | Using Synthetic Data to Improve Word Error Rate of Differentially Private ASR Models | AGAHI, DARIOUSH | — |
| 19042106 | LONGFORM WORD-LEVEL END-TO-END SPEAKER DIARIZATION WITH DYNAMIC AUDIO COHORT | DUGDA, MULUGETA TUJI | — |
| 19041217 | Sub-models For Neural Contextual Biasing | MARLOW, ALEXANDER G | — |
| 19040527 | LANGUAGE MODEL BIASING MODULATION | SHAH, PARAS D | — |
| 19035299 | Digital Signal Processor-Based Continued Conversation | LAM, PHILIP HUNG FAI | — |
| 19010299 | Disfluency Detection Models for Natural Conversational Voice Systems | CHAVEZ, RODRIGO A | — |
| Client (Assignee) | Pending OAs |
|---|---|
| 34 |
| Art Unit | Apps |
|---|---|
| 2656 | 3 |
| 2659 | 3 |
| 2653 | 2 |
| 2655 | 2 |
| 2168 | 1 |
| 2166 | 1 |
| 2658 | 1 |
| 2657 | 1 |
| 2695 | 1 |
| 2692 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19075428 | Quantization Aware Training for Universal Speech Models with Recurrent Neural Network-Transducer Decoders | Google LLC | LELAND III, EDWIN S | §102§103 | Non-Final OA | — | Pending | Mar 10, 2025 | |
| 19071732 | RECOGNIZING SPEECH IN THE PRESENCE OF ADDITIONAL AUDIO | Google LLC | SHAH, PARAS D | DP | Non-Final OA | — | Pending | Mar 05, 2025 | |
| 19049425 | Using Synthetic Data to Improve Word Error Rate of Differentially Private ASR Models | Google LLC | AGAHI, DARIOUSH | §103§112 | Non-Final OA | — | Pending | Feb 10, 2025 | |
| 19042106 | LONGFORM WORD-LEVEL END-TO-END SPEAKER DIARIZATION WITH DYNAMIC AUDIO COHORT | Google LLC | DUGDA, MULUGETA TUJI | §103 | Non-Final OA | — | Pending | Jan 31, 2025 | |
| 19041217 | Sub-models For Neural Contextual Biasing | Google LLC | MARLOW, ALEXANDER G | §103Other | Non-Final OA | — | Pending | Jan 30, 2025 | |
| 19040527 | LANGUAGE MODEL BIASING MODULATION | Google LLC | SHAH, PARAS D | §101Other | Non-Final OA | — | Pending | Jan 29, 2025 | |
| 19035299 | Digital Signal Processor-Based Continued Conversation | Google LLC | LAM, PHILIP HUNG FAI | §103Other | Non-Final OA | — | Pending | Jan 23, 2025 | |
| 19010299 | Disfluency Detection Models for Natural Conversational Voice Systems | Google LLC | CHAVEZ, RODRIGO A | §101§102§103 | Non-Final OA | — | Pending | Jan 06, 2025 | |
| 19007920 | ADAPTIVE TEXT-TO-SPEECH OUTPUTS BASED ON LANGUAGE PROFICIENCY | Google LLC | PULLIAS, JESSE SCOTT | §103 | Non-Final OA | — | Pending | Jan 02, 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 |
| 19001061 | LANGUAGE MODEL BIASING SYSTEM | Google LLC | CHAWAN, VIJAY B | §102Other | Non-Final OA | — | Pending | Dec 24, 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 | Final Rejection | — | Pending | Dec 05, 2024 |
| 18965193 | Language Agnostic Multilingual End-To-End Streaming On-Device ASR System | Google LLC | ABEBE, DANIEL DEMELASH | §103Other | Non-Final OA | — | Pending | Dec 02, 2024 | |
| 18951572 | Injecting Text in Self-Supervised Speech Pre-training | Google LLC | PATEL, SHREYANS A | §101DP | Non-Final OA | — | Pending | Nov 18, 2024 | |
| 18943880 | Carrier Integration Through User Network Interface Proxy | Google LLC | BATAILLE, FRANTZ | §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 |
| 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 |
| 18823661 | Scaling Multilingual Speech Synthesis with Zero Supervision of Found Data | Google LLC | WITHEY, THEODORE JOHN | 2655 | §103Other | Non-Final OA | — | Pending | Sep 03, 2024 |
| 18812338 | TARGET SPEAKER KEYWORD SPOTTING | Google LLC | LAM, PHILIP HUNG FAI | 2656 | §103 | Final Rejection | — | Pending | Aug 22, 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 |
| 18772267 | SPEAKER DIARIZATION | Google LLC | BOGGS JR., JAMES | 2657 | §103§112 | Non-Final OA | — | AI Ready | Jul 15, 2024 |
| 18734803 | AUGMENTING CONFORMERS WITH STRUCTURED STATE-SPACE SEQUENCE MODELS FOR ONLINE SPEECH RECOGNITION | Google LLC | ZHANG, LESHUI | 2695 | §103§112 | Non-Final OA | — | Pending | Jun 05, 2024 |
| 18676743 | Unsupervised Learning of Disentangled Speech Content and Style Representation | Google LLC | SUBRAMANI, NANDINI | 2656 | §103 | Final Rejection | — | AI Ready | May 29, 2024 |
| 18634876 | Text-To-Speech Progress-Aware Fulfillment and Response | Google LLC | MCCORD, PAUL C | 2692 | §102§103 | Non-Final OA | — | AI Ready | Apr 12, 2024 |
| 18611628 | CO-DISTILLATION FOR MIXING SERVER-BASED AND FEDERATED LEARNING | Google LLC | DWIVEDI, MAHESH H | §103 | Final Rejection | — | Pending | Mar 20, 2024 | |
| 18609704 | FILTERING FOR MIXING SERVER-BASED AND FEDERATED LEARNING | Google LLC | KABIR, SAMIYAH | §101§103 | Non-Final OA | — | Pending | Mar 19, 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 |
| 18493365 | AUTOMATED PREDICTION OF PRONUNCIATION OF TEXT ENTITIES BASED ON CO-EMITTED SPEECH RECOGNITION PREDICTIONS | Google LLC | SHAH, PARAS D | 2655 | §101 | Non-Final OA | 19d overdue | Pending | Oct 24, 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 | Final Rejection | — | AI Ready | Nov 14, 2022 |
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