Prosecution Insights
Last updated: May 29, 2026

EMC Ip Holding Company LLC

7 pending office actions • 7 art units • 7 examiners • 0 of 7 (0%) have an AI response strategy ready • 71 patents granted in the last 365 days

Portfolio Summary

7
Total Pending OAs
4
Non-Final OAs
3
Final Rejections
0
Advisory / Quayle

Response Deadline Pressure

Based on the USPTO statutory response window for each pending office action. 7 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.

4
Overdue
0
Due this week
2
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. 7 of the docket's apps have a known mailing date.

-30dToday30d60d90d120d
Overdue (4)Due ≤ 30 days (2)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.

2
Hard (29%)
5
Medium (71%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 only2 (29%)
§103 only5 (71%)

Industry Mix

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

0
Life Sciences
0% of docket
6
Information Tech
86% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
1
Mechanical / Eng
14% 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.

70 h
Manual time on pending OAs
14 h
Time saved (low, 20%)
24 h
Time saved (mid, 35%)
0.6 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
HOANG, AMY P 1 70.4% +64.2%
DEWAN, KAMAL K 1 48.9% +40.1%
ANGELES, JOSE 1 42.9% +70.6%
KAPOOR, DEVAN 1 10.0% +16.7%
SMITH, KEVIN LEE 1 37.5% +19.3%
PHUNG, STEVEN HUYNH 1 74.4% +25.8%
BEAN, GRIFFIN TANNER 1 23.1% +19.0%

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
17236625 REINFORCEMENT LEARNING AND ACCUMULATORS MAP-BASED PIPELINE FOR WORKLOAD PLACEMENT BEAN, GRIFFIN TANNER 120d overdue
17507649 Identifying Test Dependencies Using Binary Neural Networks KAPOOR, DEVAN 53d overdue
17404011 METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SAMPLE MANAGEMENT PHUNG, STEVEN HUYNH 15d
17487489 METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR MANAGING DISK SMITH, KEVIN LEE 34d

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
17236625 REINFORCEMENT LEARNING AND ACCUMULATORS MAP-BASED PIPELINE FOR WORKLOAD PLACEMENT BEAN, GRIFFIN TANNER 120d overdue
17451907 INTELLIGENT AND ADAPTIVE MEASUREMENT SYSTEM FOR REMOTE EDUCATION ANGELES, JOSE 107d overdue
17507649 Identifying Test Dependencies Using Binary Neural Networks KAPOOR, DEVAN 53d overdue
17512180 METHODS AND SYSTEMS FOR SEAMLESSLY CONFIGURING CLIENT NODES IN A DISTRIBUTED SYSTEM DEWAN, KAMAL K 43d overdue
17404011 METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SAMPLE MANAGEMENT PHUNG, STEVEN HUYNH 15d
18230029 EDGE DATA GATHERING USING REINFORCEMENT LEARNING AND DISTRIBUTION CLIQUES HOANG, AMY P 20d
17487489 METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR MANAGING DISK SMITH, KEVIN LEE 34d

Top Art Units

Art UnitApps
2143 1
2163 1
3715 1
2126 1
2122 1
2125 1
2121 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
18230029 EDGE DATA GATHERING USING REINFORCEMENT LEARNING AND DISTRIBUTION CLIQUES HOANG, AMY P 2143 §103 Non-Final OA 20d Pending Aug 03, 2023
17512180 METHODS AND SYSTEMS FOR SEAMLESSLY CONFIGURING CLIENT NODES IN A DISTRIBUTED SYSTEM DEWAN, KAMAL K 2163 §103 Non-Final OA 43d overdue Pending Oct 27, 2021
17451907 INTELLIGENT AND ADAPTIVE MEASUREMENT SYSTEM FOR REMOTE EDUCATION ANGELES, JOSE 3715 §103 Final Rejection 107d overdue Pending Oct 22, 2021
17507649 Identifying Test Dependencies Using Binary Neural Networks KAPOOR, DEVAN 2126 §103 Non-Final OA 53d overdue Pending Oct 21, 2021
17487489 METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR MANAGING DISK SMITH, KEVIN LEE 2122 §101 Final Rejection 34d Pending Sep 28, 2021
17404011 METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR SAMPLE MANAGEMENT PHUNG, STEVEN HUYNH 2125 §101 Non-Final OA 15d Pending Aug 17, 2021
17236625 REINFORCEMENT LEARNING AND ACCUMULATORS MAP-BASED PIPELINE FOR WORKLOAD PLACEMENT BEAN, GRIFFIN TANNER 2121 §103 Final Rejection 120d overdue Pending Apr 21, 2021

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