Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Networking & Security • Transportation, E-Commerce & Mechanical Systems
10 pending office actions • 1 client • 10 examiners • 8 art units • 0 of 10 (0%) have an AI response strategy ready
SF EE | Miller Johnson focuses on the Computing & Software technology area, having filed 622 career applications. The firm has achieved a resolved allowance rate pct of 85.71. Currently, there are 10 pending office actions in its docket. The 622 career applications demonstrate a specialized focus within the software domain, providing a foundation for its current prosecution activities.
The average office actions per allowance for this profile is 3.08. This suggests a specific path to allowance for Computing & Software patents. The 85.71 resolved allowance rate pct indicates the level of success for the 622 career applications managed by the firm. With 10 pending office actions, the firm is actively processing its current workload while maintaining its historical performance standards. These statistics provide a concise yet comprehensive summary of the firm's prosecution performance and its experience in the software industry.
Based on the USPTO statutory response window for each pending office action. 6 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. 6 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 | 3 (30%) |
| §103 only | 3 (30%) |
| §112 only | 2 (20%) |
| Multi-statute (no §101) | 2 (20%) |
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 |
|---|---|---|---|
| HLAING, SOE MIN | 1 | 82.5% | +16.2% |
| GOMEZ, CHRISTOPHER ALBERT | 1 | 26.4% | +30.9% |
| SKRZYCKI, JONATHAN MICHAEL | 1 | 67.4% | +32.9% |
| LOPEZ ALVAREZ, OLVIN | 1 | 48.9% | +43.3% |
| BROWN, LUIS A | 1 | 46.2% | +31.3% |
| KELLER, MICHAEL A | 1 | 86.6% | +15.7% |
| CHANG, VINCENT WEN-LIANG | 1 | 72.8% | +26.1% |
| KABIR, SAAD M | 1 | 68.5% | +24.3% |
| BAROT, BHARAT | 1 | 87.4% | +8.1% |
| KASENGE, CHARLES R | 1 | 84.0% | +13.8% |
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 |
|---|---|---|---|
| 18337030 | Intelligent Orchestration Systems for Energy and Power Management of Edge Networking Devices and Distributed Energy Entities | KELLER, MICHAEL A | 57d |
| 18533957 | AI-Based Energy Edge Platform, Systems, and Methods Having Edge-Device-Governed Data Collection for Legacy Infrastructure Energy Intelligence | HLAING, SOE MIN | — |
| 18180163 | AI-Based Energy Edge Platform, Systems, and Methods Having an Adaptive Energy Data Pipeline | BAROT, BHARAT | — |
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 |
|---|---|---|---|
| 18534043 | AI-Based Energy Edge Platform, Systems, and Methods Having Carbon-Aware Energy Emissions Simulation | GOMEZ, CHRISTOPHER ALBERT | 176d overdue |
| 18180169 | AI-Based Energy Edge Platform, Systems, and Methods Having Automatically Optimized Energy Usage in Edge Data Pipeline | KASENGE, CHARLES R | 146d overdue |
| 18337006 | Agent-Based Intelligent Orchestration Systems for Energy and Power Management | BROWN, LUIS A | 18d overdue |
| 18534138 | AI-Based Energy Edge Platform, Systems, and Methods That Recommend Operating Parameters Based on Energy Demands Within a Defined Domain | SKRZYCKI, JONATHAN MICHAEL | 8d |
| 18337004 | Intelligent Orchestration Systems for Delivery of Heterogeneous Energy and Power Resources | LOPEZ ALVAREZ, OLVIN | — |
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 |
|---|---|---|---|
| 18534043 | AI-Based Energy Edge Platform, Systems, and Methods Having Carbon-Aware Energy Emissions Simulation | GOMEZ, CHRISTOPHER ALBERT | 176d overdue |
| 18180169 | AI-Based Energy Edge Platform, Systems, and Methods Having Automatically Optimized Energy Usage in Edge Data Pipeline | KASENGE, CHARLES R | 146d overdue |
| 18337006 | Agent-Based Intelligent Orchestration Systems for Energy and Power Management | BROWN, LUIS A | 18d overdue |
| 18534138 | AI-Based Energy Edge Platform, Systems, and Methods That Recommend Operating Parameters Based on Energy Demands Within a Defined Domain | SKRZYCKI, JONATHAN MICHAEL | 8d |
| 18336736 | Intelligent Orchestration Systems for Energy and Power Grid Entities Fused With Distributed Energy- and Power-Related Entities | CHANG, VINCENT WEN-LIANG | 28d |
| 18337030 | Intelligent Orchestration Systems for Energy and Power Management of Edge Networking Devices and Distributed Energy Entities | KELLER, MICHAEL A | 57d |
| 18533957 | AI-Based Energy Edge Platform, Systems, and Methods Having Edge-Device-Governed Data Collection for Legacy Infrastructure Energy Intelligence | HLAING, SOE MIN | — |
| 18337004 | Intelligent Orchestration Systems for Delivery of Heterogeneous Energy and Power Resources | LOPEZ ALVAREZ, OLVIN | — |
| Client (Assignee) | Pending OAs |
|---|---|
| Strong Force | 10 |
| Art Unit | Apps |
|---|---|
| 2116 | 2 |
| 2119 | 2 |
| 2451 | 1 |
| 3628 | 1 |
| 2117 | 1 |
| 3626 | 1 |
| 2446 | 1 |
| 2453 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 18533957 | AI-Based Energy Edge Platform, Systems, and Methods Having Edge-Device-Governed Data Collection for Legacy Infrastructure Energy Intelligence | Strong Force EE Portfolio 2022, LLC | HLAING, SOE MIN | 2451 | §103 | Non-Final OA | — | Pending | Dec 08, 2023 |
| 18534043 | AI-Based Energy Edge Platform, Systems, and Methods Having Carbon-Aware Energy Emissions Simulation | Strong Force EE Portfolio 2022, LLC | GOMEZ, CHRISTOPHER ALBERT | 3628 | §101§103 | Non-Final OA | 176d overdue | Pending | Dec 08, 2023 |
| 18534138 | AI-Based Energy Edge Platform, Systems, and Methods That Recommend Operating Parameters Based on Energy Demands Within a Defined Domain | Strong Force EE Portfolio 2022, LLC | SKRZYCKI, JONATHAN MICHAEL | 2116 | §101§102§103 | Final Rejection | 8d | Pending | Dec 08, 2023 |
| 18337004 | Intelligent Orchestration Systems for Delivery of Heterogeneous Energy and Power Resources | Strong Force EE Portfolio 2022, LLC | LOPEZ ALVAREZ, OLVIN | 2117 | §103§112 | Final Rejection | — | Pending | Jun 18, 2023 |
| 18337006 | Agent-Based Intelligent Orchestration Systems for Energy and Power Management | Strong Force EE Portfolio 2022, LLC | BROWN, LUIS A | 3626 | §101§103§112 | Final Rejection | 18d overdue | Pending | Jun 18, 2023 |
| 18337030 | Intelligent Orchestration Systems for Energy and Power Management of Edge Networking Devices and Distributed Energy Entities | Strong Force EE Portfolio 2022, LLC | KELLER, MICHAEL A | 2446 | §112 | Non-Final OA | 57d | Pending | Jun 18, 2023 |
| 18336736 | Intelligent Orchestration Systems for Energy and Power Grid Entities Fused With Distributed Energy- and Power-Related Entities | Strong Force EE Portfolio 2022, LLC | CHANG, VINCENT WEN-LIANG | 2119 | §103 | Final Rejection | 28d | Pending | Jun 16, 2023 |
| 18300854 | Artificial Intelligence Control of Mining Operations | Strong Force EE Portfolio 2022, LLC | KABIR, SAAD M | 2119 | §103 | Non-Final OA | — | Pending | Apr 14, 2023 |
| 18180163 | AI-Based Energy Edge Platform, Systems, and Methods Having an Adaptive Energy Data Pipeline | Strong Force EE Portfolio 2022, LLC | BAROT, BHARAT | 2453 | §112 | Final Rejection | — | Pending | Mar 08, 2023 |
| 18180169 | AI-Based Energy Edge Platform, Systems, and Methods Having Automatically Optimized Energy Usage in Edge Data Pipeline | Strong Force EE Portfolio 2022, LLC | KASENGE, CHARLES R | 2116 | §102§103 | Non-Final OA | 146d overdue | Pending | Mar 08, 2023 |
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