Prosecution Insights
Last updated: May 29, 2026

Gen Digital Inc.

2 pending office actions • 2 art units • 2 examiners • 0 of 2 (0%) have an AI response strategy ready • 29 patents granted in the last 365 days

Portfolio Summary

2
Total Pending OAs
1
Non-Final OAs
1
Final Rejections
0
Advisory / Quayle

Response Deadline Pressure

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.

0
Overdue
0
Due this week
2
Due this month
0
Due in next 60 days
0
Due later

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.

0
Hard (0%)
2
Medium (100%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§103 only2 (100%)

Industry Mix

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

0
Life Sciences
0% of docket
1
Information Tech
50% of docket
0
Communications
0% of docket
0
Semiconductors
0% of docket
1
Mechanical / Eng
50% 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.

20 h
Manual time on pending OAs
4 h
Time saved (low, 20%)
7 h
Time saved (mid, 35%)
0.2 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
HABTEGEORGIS, MATTHIAS 1 76.7% +20.7%
CAMPEN, KELLY SCAGGS 1 50.7% +31.9%

Interview Candidates (2)

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 2 ordered by deadline are shown.

App #TitleExaminerDue in
17660750 SYSTEMS AND METHODS FOR DETECTING WEBSITES THAT PERPETRATE AT LEAST ONE OF SCAMS OR FRAUDS CAMPEN, KELLY SCAGGS 28d
18419999 SYSTEMS AND METHODS FOR UTILIZING GRAPH NEURAL NETWORKS FOR SCAM WEBSITE DETECTION HABTEGEORGIS, MATTHIAS 29d

Top Art Units

Art UnitApps
2491 1
3691 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
18419999 SYSTEMS AND METHODS FOR UTILIZING GRAPH NEURAL NETWORKS FOR SCAM WEBSITE DETECTION HABTEGEORGIS, MATTHIAS 2491 §103 Final Rejection 29d Pending Jan 23, 2024
17660750 SYSTEMS AND METHODS FOR DETECTING WEBSITES THAT PERPETRATE AT LEAST ONE OF SCAMS OR FRAUDS CAMPEN, KELLY SCAGGS 3691 §103 Non-Final OA 28d Pending Apr 26, 2022

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