Prosecution Insights
Last updated: October 04, 2026

Global Publishing Interactive Inc.

Technology area: Communications

3 pending office actions • 1 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 1 patents granted in the last 365 days

Analysis

Global Publishing Interactive Inc. is currently managing 3 pending office actions in the Communications technology area. These 3 actions are distributed among 3 distinct examiners, which provides the company with a variety of perspectives on its patent applications. DEVORE, CHRISTOPHER DILLON is the busiest examiner, currently handling 1 pending office action. This distribution means that each of the 3 pending office actions is being reviewed by a different individual, preventing any single examiner from dominating the portfolio.

All 3 pending office actions are concentrated within 1 distinct art unit. This suggests that while the company is working with 3 distinct examiners, the technical subject matter of the applications is closely related. For practitioners, this concentration in 1 art unit means that the examination standards and technical benchmarks will likely be consistent across all 3 pending matters. The involvement of 3 distinct examiners within a single art unit allows the company to see how different officials within the same department interpret its Communications-related innovations.

The strategy for Global Publishing Interactive Inc. must account for the individual styles of the 3 distinct examiners while adhering to the guidelines of the 1 distinct art unit. Since DEVORE, CHRISTOPHER DILLON handles 1 pending office action, his influence is limited to one-third of the current portfolio. This examiner diversity within a single art unit is beneficial for identifying the most effective arguments for the company's technology. Practitioners should leverage the feedback from all 3 pending office actions to refine their overall prosecution approach.

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

Portfolio Summary

3
Total Pending OAs
2
Non-Final OAs
1
Final Rejections
0
Advisory / Quayle

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 (67%)
1
Medium (33%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 + other2 (67%)
§103 only1 (33%)

Industry Mix

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

0
Life Sciences
0% of docket
0
Information Tech
0% of docket
1
Communications
33% of docket
0
Semiconductors
0% of docket
0
Mechanical / Eng
0% of docket
2
Business / Other
67% 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.

30 h
Manual time on pending OAs
6 h
Time saved (low, 20%)
10 h
Time saved (mid, 35%)
0.3 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
DEVORE, CHRISTOPHER DILLON 1 57.1% +36.1%
LAI, DYLAN HONG 1 — —
GALERA, PATRICK PAUL CONTRER 1 75.0% +27.3%

Hard Cases (2)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.

App #TitleExaminerDue in
18617605 METHOD AND SYSTEM FOR MACHINE-LEARNING DATASET GENERATION FROM MIXED-MEDIA DATABASES DEVORE, CHRISTOPHER DILLON —
18607015 METHOD AND SYSTEM FOR WRITE-PROTECTING DATA IN MIXED-MEDIA DATABASES LAI, DYLAN HONG —

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
18617605 METHOD AND SYSTEM FOR MACHINE-LEARNING DATASET GENERATION FROM MIXED-MEDIA DATABASES DEVORE, CHRISTOPHER DILLON —
18581190 AUTOMATED CONVERSION OF COMIC BOOK PANELS TO MOTION-RENDERED GRAPHICS GALERA, PATRICK PAUL CONTRER —

Top Art Units

Art UnitApps
2617 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
18617605 METHOD AND SYSTEM FOR MACHINE-LEARNING DATASET GENERATION FROM MIXED-MEDIA DATABASES DEVORE, CHRISTOPHER DILLON — §101§103§112 Non-Final OA — Pending Mar 26, 2024
18607015 METHOD AND SYSTEM FOR WRITE-PROTECTING DATA IN MIXED-MEDIA DATABASES LAI, DYLAN HONG — §101§103 Non-Final OA — Pending Mar 15, 2024
18581190 AUTOMATED CONVERSION OF COMIC BOOK PANELS TO MOTION-RENDERED GRAPHICS GALERA, PATRICK PAUL CONTRER 2617 §103 Final Rejection — Pending Feb 19, 2024

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