Prosecution Insights
Prosecution Insights
Technology areas: Communications • Medical Devices & Mechanical Engineering
18 pending office actions • 1 client • 17 examiners • 8 art units • 0 of 18 (0%) have an AI response strategy ready • 37 patents granted in the last 365 days
IP Spring - RC has managed 1076 career applications in the Communications technology area. The firm currently has 11 pending office actions and a resolved allowance rate pct of 93.17.
Prosecution at the firm involves an avg office actions per allowance of 3.19. This 3.19 figure provides a basis for practitioners to anticipate the number of examiner interactions required in the Communications sector. The 93.17 resolved allowance rate pct reflects the proportion of cases that reached allowance relative to the 1076 career applications. The 11 pending office actions represent the current cases awaiting a USPTO response.
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 | 1 (6%) |
| §103 only | 10 (56%) |
| §102 only | 1 (6%) |
| Double-patenting only | 1 (6%) |
| Multi-statute (no §101) | 5 (28%) |
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 |
|---|---|---|---|
| NGUYEN, ANH TUAN V | 2 | 72.3% | +19.4% |
| SWAMY, ARJUN RAJ | 1 | — | — |
| GARLAND, JASON LEE | 1 | — | — |
| ROBINSON, TERRELL M | 1 | 83.2% | +7.9% |
| LANEAU, RONALD | 1 | 88.2% | +9.8% |
| BARHAM, RYAN ALLEN | 1 | 52.9% | +57.1% |
| SUO, JOSHUA JUNGWOOK | 1 | 70.0% | +33.3% |
| FOSTER, THOMAS JOHN | 1 | 90.0% | +15.0% |
| KALHORI, DAN F | 1 | 50.0% | -33.3% |
| HOANG, PHI | 1 | 81.9% | +16.6% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19033041 | INTERACTIVE DIGITAL ADVERTISING WITHIN A VIRTUAL EXPERIENCE | ROBINSON, TERRELL M | — |
| 18979360 | TOKENIZING A SCENE GRAPH USING ONE-HOT TOKEN VECTORS AND METADATA | FOSTER, THOMAS JOHN | — |
| 18944788 | AUTOMATIC GENERATION OF AVATAR BODY MODELS | HOANG, PHI | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18213307 | RANKING ITEMS FOR PRESENTATION IN A USER INTERFACE | TANK, ANDREW L | 36d |
| 19073736 | AUDIO TRANSLATION WITH PRESERVED SPEAKER CHARACTERISTICS | SWAMY, ARJUN RAJ | — |
| 19051388 | DETECTING CHEATING USING MACHINE LEARNING | GARLAND, JASON LEE | — |
| 19024662 | AUTOMATIC LOCALIZATION OF DYNAMIC CONTENT | LANEAU, RONALD | — |
| 18875514 | LINEAR CAGE DEFORMER FOR MULTI-LAYERED OUTFITS | SUO, JOSHUA JUNGWOOK | — |
| 18652201 | SCENE CREATION USING LANGUAGE MODELS | TRAN, JENNY NGAN | — |
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 |
|---|---|---|---|
| 18990790 | DYNAMIC HEAD GENERATION FOR ANIMATION | BARHAM, RYAN ALLEN | — |
| 18990744 | LINEAR BLEND SKINNING RIG FOR ANIMATION | NGUYEN, ANH TUAN V | — |
| 18990810 | DYNAMIC HEAD GENERATION FOR ANIMATION | NGUYEN, ANH TUAN V | — |
| 18875514 | LINEAR CAGE DEFORMER FOR MULTI-LAYERED OUTFITS | SUO, JOSHUA JUNGWOOK | — |
| 18979360 | TOKENIZING A SCENE GRAPH USING ONE-HOT TOKEN VECTORS AND METADATA | FOSTER, THOMAS JOHN | — |
| 18944788 | AUTOMATIC GENERATION OF AVATAR BODY MODELS | HOANG, PHI | — |
| Client (Assignee) | Pending OAs |
|---|---|
| Roblox Corporation | 18 |
| Art Unit | Apps |
|---|---|
| 3715 | 2 |
| 2616 | 1 |
| 2618 | 1 |
| 2614 | 1 |
| 2615 | 1 |
| 2611 | 1 |
| 3699 | 1 |
| 2141 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19073736 | AUDIO TRANSLATION WITH PRESERVED SPEAKER CHARACTERISTICS | Roblox Corporation | SWAMY, ARJUN RAJ | §102§103 | Non-Final OA | — | Pending | Mar 07, 2025 | |
| 19051388 | DETECTING CHEATING USING MACHINE LEARNING | Roblox Corporation | GARLAND, JASON LEE | 3715 | §102§103 | Non-Final OA | — | Pending | Feb 12, 2025 |
| 19033041 | INTERACTIVE DIGITAL ADVERTISING WITHIN A VIRTUAL EXPERIENCE | Roblox Corporation | ROBINSON, TERRELL M | DP | Non-Final OA | — | Pending | Jan 21, 2025 | |
| 19024662 | AUTOMATIC LOCALIZATION OF DYNAMIC CONTENT | Roblox Corporation | LANEAU, RONALD | §101Other | Non-Final OA | — | Pending | Jan 16, 2025 | |
| 18990790 | DYNAMIC HEAD GENERATION FOR ANIMATION | Roblox Corporation | BARHAM, RYAN ALLEN | §102 | Non-Final OA | — | Pending | Dec 20, 2024 | |
| 18990744 | LINEAR BLEND SKINNING RIG FOR ANIMATION | Roblox Corporation | NGUYEN, ANH TUAN V | §103 | Non-Final OA | — | Pending | Dec 20, 2024 | |
| 18990810 | DYNAMIC HEAD GENERATION FOR ANIMATION | Roblox Corporation | NGUYEN, ANH TUAN V | §103 | Non-Final OA | — | Pending | Dec 20, 2024 | |
| 18875514 | LINEAR CAGE DEFORMER FOR MULTI-LAYERED OUTFITS | Roblox Corporation | SUO, JOSHUA JUNGWOOK | 2616 | §102§103 | Non-Final OA | — | Pending | Dec 16, 2024 |
| 18979360 | TOKENIZING A SCENE GRAPH USING ONE-HOT TOKEN VECTORS AND METADATA | Roblox Corporation | FOSTER, THOMAS JOHN | §103 | Non-Final OA | — | Pending | Dec 12, 2024 | |
| 18955242 | LAYERED ACCESSORY ADJUSTMENT FOR 3D ASSETS | Roblox Corporation | KALHORI, DAN F | 2618 | §103 | Non-Final OA | — | Pending | Nov 21, 2024 |
| 18944788 | AUTOMATIC GENERATION OF AVATAR BODY MODELS | Roblox Corporation | HOANG, PHI | §103 | Non-Final OA | — | Pending | Nov 12, 2024 | |
| 18939411 | AUTOMATIC RIGGING OF THREE-DIMENSIONAL (3D) OBJECTS | Roblox Corporation | PATEL, JITESH | §103 | Non-Final OA | — | Pending | Nov 06, 2024 | |
| 18787246 | INTERACTIVE ENGAGEMENT PORTALS WITHIN VIRTUAL EXPERIENCES | Roblox Corporation | TSWEI, YU-JANG | 2614 | §103Other | Final Rejection | 2d overdue | Pending | Jul 29, 2024 |
| 18652201 | SCENE CREATION USING LANGUAGE MODELS | Roblox Corporation | TRAN, JENNY NGAN | 2615 | §102§103 | Non-Final OA | — | Pending | May 01, 2024 |
| 18440267 | DISPLAYING LEVELS OF DETAIL OF 2D AND 3D OBJECTS IN VIRTUAL SPACES | Roblox Corporation | USSERY, CAIDEN ALEXANDER | 2611 | §103 | Final Rejection | 65d | Pending | Feb 13, 2024 |
| 18242934 | VIRTUAL EXPERIENCE SUBSCRIPTIONS USING A VIRTUAL CURRENCY | Roblox Corporation | ZELASKIEWICZ, CHRYSTINA E | 3699 | §103 | Non-Final OA | — | Pending | Sep 06, 2023 |
| 18213307 | RANKING ITEMS FOR PRESENTATION IN A USER INTERFACE | Roblox Corporation | TANK, ANDREW L | 2141 | §102§103 | Final Rejection | 36d | Pending | Jun 23, 2023 |
| 17920287 | SYSTEMS AND METHODS FOR ACCESSIBLE COMPUTER-USER INTERACTIONS | Roblox Corporation | ANTOINE, LISA HOPE | 3715 | §103 | Final Rejection | 5d overdue | Pending | Oct 20, 2022 |
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