Prosecution Insights
Last updated: October 04, 2026

Elisa Oyj

Technology areas: Computing & Software • Communications

5 pending office actions • 3 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 16 patents granted in the last 365 days

Analysis

Elisa Oyj currently has 5 pending office actions in the Communications technology area. These 5 pending office actions are distributed across 3 distinct art units. The portfolio is managed by 5 distinct examiners, meaning each case is assigned to a different individual.

Dugda, Mulugeta Tuji is the busiest examiner with 1 pending office action. Because each of the 5 distinct examiners holds only one case, there is no opportunity to apply insights from one examiner to another within the 3 distinct art units. This distribution requires a unique approach for every pending action in the portfolio.

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

Portfolio Summary

5
Total Pending OAs
3
Non-Final OAs
2
Final Rejections
0
Advisory / Quayle

Response Deadline Pressure

Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.

0
Overdue
0
Due this week
1
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.

3
Hard (60%)
2
Medium (40%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 + other3 (60%)
§103 only1 (20%)
§102 only1 (20%)

Industry Mix

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

0
Life Sciences
0% of docket
1
Information Tech
20% of docket
2
Communications
40% of docket
0
Semiconductors
0% of docket
0
Mechanical / Eng
0% of docket
2
Business / Other
40% 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.

50 h
Manual time on pending OAs
10 h
Time saved (low, 20%)
18 h
Time saved (mid, 35%)
0.4 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
DUGDA, MULUGETA TUJI 1 82.8% +21.2%
JARRETT, RYAN A 1 80.8% +7.2%
KNOX, KALERIA 1 68.2% +25.3%
DINH, JOSEPH NGHIA 1 — —
TRAN, DANIEL DUC 1 0.0% +0.0%

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
19140488 COMPUTER-IMPLEMENTED METHOD FOR PERFORMING A COMPUTATIONAL TASK USING A MACHINE LEARNING MODEL DUGDA, MULUGETA TUJI —
18863357 Management of a distributed energy storage, DES, arrangement JARRETT, RYAN A —

Hard Cases (3)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 3 ordered by deadline are shown.

App #TitleExaminerDue in
18695977 A method for defining neighbor relations in a communication network DINH, JOSEPH NGHIA 30d
18728231 METHOD AND SYSTEM FOR DETECTING ANOMALY IN TIME SERIES DATA KNOX, KALERIA —
18267195 ANALYZING MEASUREMENT RESULTS OF A TARGET SYSTEM TRAN, DANIEL DUC —

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
19140488 COMPUTER-IMPLEMENTED METHOD FOR PERFORMING A COMPUTATIONAL TASK USING A MACHINE LEARNING MODEL DUGDA, MULUGETA TUJI —
18728231 METHOD AND SYSTEM FOR DETECTING ANOMALY IN TIME SERIES DATA KNOX, KALERIA —

Top Art Units

Art UnitApps
2653 1
2641 1
2147 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
19140488 COMPUTER-IMPLEMENTED METHOD FOR PERFORMING A COMPUTATIONAL TASK USING A MACHINE LEARNING MODEL DUGDA, MULUGETA TUJI 2653 §103 Final Rejection — Pending Jun 18, 2025
18863357 Management of a distributed energy storage, DES, arrangement JARRETT, RYAN A — §102 Non-Final OA — Pending Nov 06, 2024
18728231 METHOD AND SYSTEM FOR DETECTING ANOMALY IN TIME SERIES DATA KNOX, KALERIA — §101§103 Non-Final OA — Pending Jul 11, 2024
18695977 A method for defining neighbor relations in a communication network DINH, JOSEPH NGHIA 2641 §101§103§112 Non-Final OA 30d Pending Mar 27, 2024
18267195 ANALYZING MEASUREMENT RESULTS OF A TARGET SYSTEM TRAN, DANIEL DUC 2147 §101§103 Final Rejection — Pending Jun 14, 2023

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