Technology areas: Computing & Software • Communications • Transportation, E-Commerce & Mechanical Systems
12 pending office actions • 12 art units • 12 examiners • 0 of 12 (0%) have an AI response strategy ready • 82 patents granted in the last 365 days
GDM Holding LLC currently has 12 pending office actions in the Communications technology area. These 12 actions are assigned to 12 distinct examiners, meaning that every pending application is being reviewed by a different person. The portfolio is also distributed across 12 distinct art units, showing a high degree of technical variety for the company's active cases.
CLOTHIER, MATTHEW MORRIS is identified as the busiest examiner, but he is currently managing only 1 pending office action. Because there are 12 pending office actions and 12 distinct examiners, every examiner involved holds an equal portion of the company's active prosecution workload. This complete lack of examiner concentration means that the company must navigate 12 different individual examination styles simultaneously without any overlap.
The 12 distinct art units involved for these 12 pending office actions indicate that the company's innovations are being evaluated by many different specialized divisions. Practitioners cannot rely on a single examiner's precedent, as CLOTHIER, MATTHEW MORRIS and the other examiners each bring their own perspectives to the actions. This spread across 12 distinct art units requires a versatile approach to patent prosecution within the Communications sector.
Based on the USPTO statutory response window for each pending office action. 2 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 | 1 (8%) |
| §101 + other | 2 (17%) |
| §103 only | 3 (25%) |
| §102 only | 1 (8%) |
| Double-patenting only | 2 (17%) |
| Double-patenting + other | 1 (8%) |
| Multi-statute (no §101) | 2 (17%) |
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 |
|---|---|---|---|
| CLOTHIER, MATTHEW MORRIS | 1 | 83.3% | +20.0% |
| JUNG, JAEWOOK | 1 | 83.3% | +40.0% |
| JACKSON, DANIELLE MARIE | 1 | 81.0% | +26.7% |
| JEANGLAUDE, JEAN BRUNER | 1 | 93.7% | +5.6% |
| DO, TRUC M | 1 | 82.4% | +6.1% |
| SALTARELLI, DOMINIC D | 1 | 79.1% | +14.8% |
| SHANKAR, VIJAY | 1 | 90.8% | +8.7% |
| SALVUCCI, MATTHEW D | 1 | 72.4% | +27.1% |
| HONORE, EVEL NMN | 1 | 50.0% | +28.6% |
| MILLER, DANIEL E | 1 | 40.0% | +38.1% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19421916 | VIDEO GENERATION NEURAL NETWORKS WITH CAMERA AND SUBJECT MOTION INPUTS | CLOTHIER, MATTHEW MORRIS | — |
| 19200502 | DATA-DRIVEN ROBOT CONTROL | JACKSON, DANIELLE MARIE | — |
| 19193756 | POPULATION BASED TRAINING OF NEURAL NETWORKS | JEANGLAUDE, JEAN BRUNER | — |
| 19041971 | GENERATIVE INTERACTIVE ENVIRONMENTS | SHANKAR, VIJAY | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18102053 | USING EMBEDDINGS, GENERATED USING ROBOT ACTION MODELS, IN CONTROLLING ROBOT TO PERFORM ROBOTIC TASK | BLUST, JASON W | 3d overdue |
| 17337376 | STABLE AND EFFICIENT TRAINING OF ADVERSARIAL MODELS BY AN ITERATED UPDATE OPERATION OF SECOND ORDER OR HIGHER | CHUANG, SU-TING | 41d |
| 19206894 | SEMI-SUPERVISED LEARNING OF ROBOT CONTROL POLICIES | JUNG, JAEWOOK | — |
| 19107481 | SYSTEM(S) AND METHOD(S) OF USING BEHAVIORAL CLONING VALUE APPROXIMATION IN TRAINING AND REFINING ROBOTIC CONTROL POLICIES | DO, TRUC M | — |
| 18829662 | Chip Architecture Gradient-Descent | HONORE, EVEL NMN | — |
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 |
|---|---|---|---|
| 19421916 | VIDEO GENERATION NEURAL NETWORKS WITH CAMERA AND SUBJECT MOTION INPUTS | CLOTHIER, MATTHEW MORRIS | — |
| 19206894 | SEMI-SUPERVISED LEARNING OF ROBOT CONTROL POLICIES | JUNG, JAEWOOK | — |
| 19200502 | DATA-DRIVEN ROBOT CONTROL | JACKSON, DANIELLE MARIE | — |
| 19059132 | GENERATING IMAGES USING NEURAL NETWORKS | SALTARELLI, DOMINIC D | — |
| 19039704 | BUILDING IMAGE GENERATION TRAINING DATASETS USING VARIABLE CAPTIONING | SALVUCCI, MATTHEW D | — |
| 18829662 | Chip Architecture Gradient-Descent | HONORE, EVEL NMN | — |
| 18462628 | TRANSISTOR-LEVEL SYNTHESIS | MILLER, DANIEL E | — |
| Art Unit | Apps |
|---|---|
| 2614 | 1 |
| 3656 | 1 |
| 3657 | 1 |
| 2122 | 1 |
| 3658 | 1 |
| 2421 | 1 |
| 2624 | 1 |
| 2613 | 1 |
| 2142 | 1 |
| 2851 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19421916 | VIDEO GENERATION NEURAL NETWORKS WITH CAMERA AND SUBJECT MOTION INPUTS | CLOTHIER, MATTHEW MORRIS | 2614 | §103 | Final Rejection | — | Pending | Dec 16, 2025 |
| 19206894 | SEMI-SUPERVISED LEARNING OF ROBOT CONTROL POLICIES | JUNG, JAEWOOK | 3656 | §101§102§103 | Non-Final OA | — | Pending | May 13, 2025 |
| 19200502 | DATA-DRIVEN ROBOT CONTROL | JACKSON, DANIELLE MARIE | 3657 | §102DP | Non-Final OA | — | Pending | May 06, 2025 |
| 19193756 | POPULATION BASED TRAINING OF NEURAL NETWORKS | JEANGLAUDE, JEAN BRUNER | 2122 | DP | Non-Final OA | — | Pending | Apr 29, 2025 |
| 19107481 | SYSTEM(S) AND METHOD(S) OF USING BEHAVIORAL CLONING VALUE APPROXIMATION IN TRAINING AND REFINING ROBOTIC CONTROL POLICIES | DO, TRUC M | 3658 | §103§112 | Non-Final OA | — | Pending | Feb 27, 2025 |
| 19059132 | GENERATING IMAGES USING NEURAL NETWORKS | SALTARELLI, DOMINIC D | 2421 | DP | Non-Final OA | — | Pending | Feb 20, 2025 |
| 19041971 | GENERATIVE INTERACTIVE ENVIRONMENTS | SHANKAR, VIJAY | 2624 | §102 | Non-Final OA | — | Pending | Jan 30, 2025 |
| 19039704 | BUILDING IMAGE GENERATION TRAINING DATASETS USING VARIABLE CAPTIONING | SALVUCCI, MATTHEW D | 2613 | §103 | Non-Final OA | — | Pending | Jan 28, 2025 |
| 18829662 | Chip Architecture Gradient-Descent | HONORE, EVEL NMN | 2142 | §101§102§103 | Non-Final OA | — | Pending | Sep 10, 2024 |
| 18462628 | TRANSISTOR-LEVEL SYNTHESIS | MILLER, DANIEL E | 2851 | §103 | Final Rejection | — | Pending | Sep 07, 2023 |
| 18102053 | USING EMBEDDINGS, GENERATED USING ROBOT ACTION MODELS, IN CONTROLLING ROBOT TO PERFORM ROBOTIC TASK | BLUST, JASON W | 2132 | §102§103 | Final Rejection | 3d overdue | Pending | Jan 26, 2023 |
| 17337376 | STABLE AND EFFICIENT TRAINING OF ADVERSARIAL MODELS BY AN ITERATED UPDATE OPERATION OF SECOND ORDER OR HIGHER | CHUANG, SU-TING | 2146 | §101 | Non-Final OA | 41d | Pending | Jun 02, 2021 |
IP Author helps IP teams respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free TrialGDM Holding LLC has 12 pending office actions as of October 2026, spread across 12 art units and 12 examiners.
Matthew Morris Clothier has the most, with 1 of GDM Holding LLC's pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
