Prosecution Insights
Last updated: October 25, 2026

Sf Ee | Miller Johnson

Technology areas: Computing & Software • Networking & Security • Transportation, E-Commerce & Mechanical Systems

8 pending office actions • 1 client • 8 examiners • 7 art units • 0 of 8 (0%) have an AI response strategy ready

Analysis

SF EE | Miller Johnson has 9 pending office actions in Computing & Software and 654 career applications. The profile combines a defined current workload with a recorded application base in computing and software.

The resolved allowance rate is 85.75%, and allowed cases average 3.09 office actions. The rate describes resolved allowance results, while the action average provides context on examination activity before allowance. These measures allow practitioners to consider outcome performance and prosecution effort as distinct aspects of the record.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Quality Metrics (n=654 apps, methodology: how we score firms)

85.8%
Allowance Rate
n=654
+0.54σ
Allowance Rate (norm)
n=654
3.1
OAs to Allowance
n=349
-0.25σ
OAs to Allow (norm)
n=349
933 days
Time to Allowance
n=349
+3.8pp
Interview Lift
n=654
29.2%
RCE Rate
n=654
2.5%
Appeal Rate
n=654

Rejection Performance (% of received rejections ultimately overcome)

48.4%
§101 Overcome
n=91
68.2%
§102 Overcome
n=170
66.8%
§103 Overcome
n=268
75.2%
§112 Overcome
n=165

Specialization & Scale

G05B, G06F, G06Q
Top CPC Subclasses
18%
Top-3 CPC Share
n=654
10
Practitioners
n=654
65.4
Apps / Practitioner
n=654

Portfolio Summary

8
Total Pending OAs
3
Non-Final OAs
4
Final Rejections
1
Advisory / Quayle

Response Deadline Pressure

Based on the USPTO statutory response window for each pending office action. 5 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.

3
Overdue
0
Due this week
1
Due this month
1
Due in next 60 days
0
Due later

Deadline Fire Line

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. 5 of the docket's apps have a known mailing date.

-30dToday30d60d90d120d
Overdue (3)Due ≤ 30 days (1)Due ≤ 60 days (1)

Case Difficulty Mix

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.

4
Hard (50%)
2
Medium (25%)
2
Easy (25%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 + other2 (25%)
§103 only2 (25%)
§112 only2 (25%)
Multi-statute (no §101)2 (25%)

Industry Mix

How the docket's pending cases split across USPTO tech-center bands.

0
Life Sciences
0% of docket
6
Information Tech
75% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
2
Mechanical / Eng
25% of docket
0
Business / Other
0% of docket

Time-on-OA Estimate

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.

80 h
Manual time on pending OAs
16 h
Time saved (low, 20%)
28 h
Time saved (mid, 35%)
0.7 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
GOMEZ, CHRISTOPHER ALBERT 1 26.4% +30.9%
BROWN, LUIS A 1 46.3% +31.1%
LOPEZ ALVAREZ, OLVIN 1 48.9% +43.3%
KELLER, MICHAEL A 1 86.7% +16.1%
CHANG, VINCENT WEN-LIANG 1 72.8% +26.1%
KABIR, SAAD M 1 68.9% +24.0%
KASENGE, CHARLES R 1 83.9% +13.9%
BAROT, BHARAT 1 87.5% +8.0%

Quick Wins (2)

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 #TitleExaminerDue in
18337030 Intelligent Orchestration Systems for Energy and Power Management of Edge Networking Devices and Distributed Energy Entities KELLER, MICHAEL A 57d
18180163 AI-Based Energy Edge Platform, Systems, and Methods Having an Adaptive Energy Data Pipeline BAROT, BHARAT —

Hard Cases (4)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.

App #TitleExaminerDue 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
18337004 Intelligent Orchestration Systems for Delivery of Heterogeneous Energy and Power Resources LOPEZ ALVAREZ, OLVIN —

Interview Candidates (7)

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 #TitleExaminerDue 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
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
18337004 Intelligent Orchestration Systems for Delivery of Heterogeneous Energy and Power Resources LOPEZ ALVAREZ, OLVIN —
18300854 Artificial Intelligence Control of Mining Operations KABIR, SAAD M —

Client Portfolio (1 client)

Client (Assignee)Pending OAs
Strong Force 8

Top Art Units

Art UnitApps
21192
36281
36261
21171
24181
21161
24531

Pending Office Actions

App #TitleClientExaminerArt UnitStatutesStatusDue inAIFiled
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
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
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
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 2418 §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
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
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

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Frequently Asked Questions

What is Sf Ee | Miller Johnson's patent allowance rate?

85.8% of resolved applications prosecuted by Sf Ee | Miller Johnson were allowed, across 654 applications in USPTO records.

How many office actions does Sf Ee | Miller Johnson average before allowance?

3.09 office actions per allowed application on average.

How many pending office actions does Sf Ee | Miller Johnson have?

8 pending office actions as of October 2026, for 1 client, before 8 examiners in 7 art units.

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