Prosecution Insights
Last updated: July 17, 2026
Application No. 18/121,891

MODEL-BASED COMPREHENSION OF LOG DATA

Non-Final OA
Filed
Mar 15, 2023
Examiner
TSAI, JAMES T
Art Unit
2147
Tech Center
2100 — Computer Architecture & Software
Assignee
International Business Machines Corporation
OA Round
1 (Non-Final)
63%
Grant Probability
Moderate
1-2
OA Rounds
0m
Est. Remaining
99%
With Interview

Examiner Intelligence

Grants 63% of resolved cases
63%
Career Allowance Rate
192 granted / 305 resolved
+8.0% vs TC avg
Strong +56% interview lift
Without
With
+56.2%
Interview Lift
resolved cases with interview
Typical timeline
3y 3m
Avg Prosecution
39 currently pending
Career history
331
Total Applications
across all art units

Statute-Specific Performance

§101
1.5%
-38.5% vs TC avg
§103
96.4%
+56.4% vs TC avg
§102
1.0%
-39.0% vs TC avg
§112
0.3%
-39.7% vs TC avg
Black line = Tech Center average estimate • Based on career data from 305 resolved cases

Prosecution Timeline

Mar 15, 2023
Application Filed
Dec 01, 2023
Response after Non-Final Action
Apr 28, 2026
Non-Final Rejection mailed
Jun 26, 2026
Interview Requested

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12682206
QUANTIZED NEURAL NETWORK TRAINING AND INFERENCE
4y 5m to grant Granted Jul 14, 2026
Patent 12682207
ENHANCING SILENT FEATURES WITH ADVERSARIAL NETWORKS FOR IMPROVED MODEL VERSIONS
3y 9m to grant Granted Jul 14, 2026
Patent 12675718
AHEAD-OF-TIME GATE-FUSION TRANSPILATION FOR SIMULATION
4y 6m to grant Granted Jul 07, 2026
Patent 12670365
METHOD AND SYSTEM FOR MULTI-SENSOR FUSION IN THE PRESENCE OF MISSING AND NOISY LABELS
3y 0m to grant Granted Jun 30, 2026
Patent 12650754
THREE-DIMENSIONAL INTERFACE CONTROL METHOD AND TERMINAL
3y 5m to grant Granted Jun 09, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
63%
Grant Probability
99%
With Interview (+56.2%)
3y 3m (~0m remaining)
Median Time to Grant
Low
PTA Risk
Based on 305 resolved cases by this examiner. Grant probability derived from career allowance rate.

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