Prosecution Insights
Prosecution Insights
Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
21 pending office actions • 3 clients • 21 examiners • 15 art units • 0 of 21 (0%) have an AI response strategy ready • 29 patents granted in the last 365 days
Kraguljac Law Group - Oracle focuses on the Transportation, E-Commerce & Mechanical Systems technology area, with 970 career applications on record. The firm achieves a resolved allowance rate of 94.57 percent, which measures the frequency with which its applications result in a patent grant. This total of 970 career applications establishes the firm's historical presence in the patent system.
The firm's prosecution process involves an average of 5.06 office actions per allowance. This metric represents the typical number of communications with patent examiners required to reach an allowance for a given application. Currently, the firm is managing 18 pending office actions, which represents the current volume of its active prosecution docket in the Transportation, E-Commerce & Mechanical Systems sector. These 18 pending office actions are fewer than the 970 career applications filed by the firm.
The 94.57 percent allowance rate and the 5.06 office actions per allowance provide a data-grounded basis for evaluating the firm's prosecution performance. The 18 pending office actions show the firm's immediate focus, while the 970 career applications document its involvement in the field over time. These figures offer a view of the firm's activity and results.
Based on the USPTO statutory response window for each pending office action. 10 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
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. 10 of the docket's apps have a known mailing date.
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.
| Bucket | Cases |
|---|---|
| §101 only | 9 (43%) |
| §101 + other | 2 (10%) |
| §103 only | 6 (29%) |
| §102 only | 2 (10%) |
| Multi-statute (no §101) | 2 (10%) |
How the docket's pending cases split across USPTO tech-center bands.
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.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| MAHMUD, GOLAM | 1 | 61.2% | +29.8% |
| WOO, STELLA L | 1 | 79.7% | +13.3% |
| HANKS, BENJAMIN L | 1 | 21.4% | +30.3% |
| LEE, MARINA | 1 | 85.8% | +17.9% |
| LEE, PO HAN | 1 | 31.7% | +41.2% |
| SHAIKH, ZEESHAN MAHMOOD | 1 | 58.7% | +44.3% |
| LIN, KATHERINE Y | 1 | 90.8% | +6.5% |
| MOORE, URIAH VENDELL | 1 | — | — |
| CHARIOUI, MOHAMED | 1 | 81.1% | +12.8% |
| OBAID, HAMZEH M | 1 | 38.3% | +22.4% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18514587 | DUTY CYCLE SWEEP FOR CPSD IDENTIFICATION OF RESONANCE FREQUENCIES TO MONITOR FOR RESONANT AMPLIFICATION OF VIBRATION | CHARIOUI, MOHAMED | 16d overdue |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17735143 | MINIMIZING UNMET DEMANDS DUE TO SHORT SUPPLY | EL-BATHY, MOHAMED N | 177d overdue |
| 17749388 | MACHINE LEARNING MODEL AND NEURAL NETWORK TO PREDICT OBJECT CHARACTERISTICS FROM DIGITAL IMAGE SIMILARITIES | RUSH, ERIC | 88d overdue |
| 18082618 | REINFORCEMENT-LEARNING-AGENT-BASED GUI METRICS FOR MONITORING SYSTEM EFFECTIVENESS | KANG, IRENE S | 59d overdue |
| 18384462 | AUTONOMOUS MECHANISM FOR TRACKING EXECUTION PATHS IN DYNAMIC SYSTEMS | OBAID, HAMZEH M | 43d overdue |
| 18666387 | SYSTEM AND METHOD WITH IRRELEVANCE FILTER TO FACILITATE EFFICIENT RUL ANALYSES FOR ELECTRONIC DEVICES | LEE, PO HAN | 31d overdue |
| 18133125 | AUTOMATIC GENERATION OF EXEMPLAR QUANTITY FOR TRAINING MACHINE LEARNING MODELS | YI, HYUNGJUN B | 10d overdue |
| 18806292 | CUSTOMIZING HEALTHCARE APP DASHBOARD BASED ON CLINICAL RECORDS | HANKS, BENJAMIN L | 33d |
| 17742540 | REDUNDANT SCENARIO DECOMMISSIONING | LEATHERS, EMILY GORMAN | 33d |
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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18384462 | AUTONOMOUS MECHANISM FOR TRACKING EXECUTION PATHS IN DYNAMIC SYSTEMS | OBAID, HAMZEH M | 43d overdue |
| 18666387 | SYSTEM AND METHOD WITH IRRELEVANCE FILTER TO FACILITATE EFFICIENT RUL ANALYSES FOR ELECTRONIC DEVICES | LEE, PO HAN | 31d overdue |
| 18514587 | DUTY CYCLE SWEEP FOR CPSD IDENTIFICATION OF RESONANCE FREQUENCIES TO MONITOR FOR RESONANT AMPLIFICATION OF VIBRATION | CHARIOUI, MOHAMED | 16d overdue |
| 18806292 | CUSTOMIZING HEALTHCARE APP DASHBOARD BASED ON CLINICAL RECORDS | HANKS, BENJAMIN L | 33d |
| 19184135 | DASHBOARD INTERFACE | MAHMUD, GOLAM | — |
| 18938385 | PREEMPTIVELY ESTABLISHED LIVE CONNECTIONS FOR REAL-TIME TRANSCRIPTIONS IN VIRTUAL MEETINGS | WOO, STELLA L | — |
| 18743866 | LLM FINE-TUNING FOR CODE GENERATION | LEE, MARINA | — |
| 18627860 | LLM FINE-TUNING FOR TEXT SUMMARIZATION | SHAIKH, ZEESHAN MAHMOOD | — |
| Client (Assignee) | Pending OAs |
|---|---|
| ORACLE INTERNATIONAL CORPORATION | 16 |
| CERNER INNOVATION, INC. | 3 |
| ORACLE FINANCIAL SERVICES SOFTWARE LIMITED | 2 |
| Art Unit | Apps |
|---|---|
| 3624 | 3 |
| 2146 | 3 |
| 2693 | 1 |
| 3684 | 1 |
| 4100 | 1 |
| 3623 | 1 |
| 2658 | 1 |
| 2113 | 1 |
| 2857 | 1 |
| 2166 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19184135 | DASHBOARD INTERFACE | Cerner Innovation, Inc. | MAHMUD, GOLAM | §102Other | Non-Final OA | — | Pending | Apr 21, 2025 | |
| 18938385 | PREEMPTIVELY ESTABLISHED LIVE CONNECTIONS FOR REAL-TIME TRANSCRIPTIONS IN VIRTUAL MEETINGS | Oracle International Corporation | WOO, STELLA L | 2693 | §103 | Non-Final OA | — | Pending | Nov 06, 2024 |
| 18806292 | CUSTOMIZING HEALTHCARE APP DASHBOARD BASED ON CLINICAL RECORDS | Cerner Innovation, Inc. | HANKS, BENJAMIN L | 3684 | §103 | Final Rejection | 33d | Pending | Aug 15, 2024 |
| 18743866 | LLM FINE-TUNING FOR CODE GENERATION | Oracle International Corporation | LEE, MARINA | 4100 | §101 | Non-Final OA | — | Pending | Jun 14, 2024 |
| 18666387 | SYSTEM AND METHOD WITH IRRELEVANCE FILTER TO FACILITATE EFFICIENT RUL ANALYSES FOR ELECTRONIC DEVICES | Oracle International Corporation | LEE, PO HAN | 3623 | §101 | Non-Final OA | 31d overdue | Pending | May 16, 2024 |
| 18627860 | LLM FINE-TUNING FOR TEXT SUMMARIZATION | Oracle International Corporation | SHAIKH, ZEESHAN MAHMOOD | 2658 | §101 | Non-Final OA | — | Pending | Apr 05, 2024 |
| 18397052 | ERROR RESOLUTION AND AUTO-CORRECTION FOR UNPROCESSED DATA RECORDS | Cerner Innovation, Inc. | LIN, KATHERINE Y | 2113 | §101 | Final Rejection | — | Pending | Dec 27, 2023 |
| 18532053 | SYSTEMS AND METHODS FOR AUTOMATIC FORECASTING ALGORITHM SELECTION BASED ON TIME SERIES CHARACTERISTICS | Oracle International Corporation | MOORE, URIAH VENDELL | §103 | Non-Final OA | — | Pending | Dec 07, 2023 | |
| 18514587 | DUTY CYCLE SWEEP FOR CPSD IDENTIFICATION OF RESONANCE FREQUENCIES TO MONITOR FOR RESONANT AMPLIFICATION OF VIBRATION | Oracle International Corporation | CHARIOUI, MOHAMED | 2857 | §103 | Final Rejection | 16d overdue | Pending | Nov 20, 2023 |
| 18384462 | AUTONOMOUS MECHANISM FOR TRACKING EXECUTION PATHS IN DYNAMIC SYSTEMS | Oracle International Corporation | OBAID, HAMZEH M | 3624 | §101 | Non-Final OA | 43d overdue | Pending | Oct 27, 2023 |
| 18370101 | FREQUENCY-DOMAIN SIGNAL CLUSTERING | Oracle International Corporation | HOQUE, NAFIZ E | 2146 | §102 | Non-Final OA | — | Pending | Sep 19, 2023 |
| 18133197 | MERGED REFERENCE FINGERPRINT GENERATION FOR MACHINE-LEARNING DETECTION OF DEGRADED OPERATION | Oracle International Corporation | PHAM, KHANH B | 2166 | §103 | Final Rejection | — | Pending | Apr 11, 2023 |
| 18133125 | AUTOMATIC GENERATION OF EXEMPLAR QUANTITY FOR TRAINING MACHINE LEARNING MODELS | Oracle International Corporation | YI, HYUNGJUN B | 2146 | §101 | Final Rejection | 10d overdue | Pending | Apr 11, 2023 |
| 18133047 | AUTOMATIC SIGNAL CLUSTERING WITH AMBIENT SIGNALS FOR ML ANOMALY DETECTION | Oracle International Corporation | HADDAD, MAJD MAHER | 2125 | §101§103 | Final Rejection | — | Pending | Apr 11, 2023 |
| 18104506 | CIRCULAR-BUFFER FOR GENERATING MACHINE LEARNING ESTIMATES OF STREAMING OBSERVATIONS IN REAL TIME | Oracle International Corporation | KHAN, SHAHID K | 2146 | §102§103 | Non-Final OA | — | Pending | Feb 01, 2023 |
| 18082618 | REINFORCEMENT-LEARNING-AGENT-BASED GUI METRICS FOR MONITORING SYSTEM EFFECTIVENESS | Oracle International Corporation | KANG, IRENE S | 3696 | §101 | Non-Final OA | 59d overdue | Pending | Dec 16, 2022 |
| 17881737 | ASSIGNING SUPPLY TO DEMAND FROM MULTIPLE SOURCES | Oracle International Corporation | BOLEN, NICHOLAS D | 3624 | §101§103 | Final Rejection | — | Pending | Aug 05, 2022 |
| 17749388 | MACHINE LEARNING MODEL AND NEURAL NETWORK TO PREDICT OBJECT CHARACTERISTICS FROM DIGITAL IMAGE SIMILARITIES | Oracle International Corporation | RUSH, ERIC | 2677 | §103§112 | Non-Final OA | 88d overdue | Pending | May 20, 2022 |
| 17748204 | REINFORCEMENT LEARNING AGENT SIMULATION TO MEASURE MONITORING SYSTEM STRENGTH | Oracle Financial Services Software Limited | ILES, TYLER EDWARD | 2122 | §103 | Non-Final OA | 16d overdue | Pending | May 19, 2022 |
| 17742540 | REDUNDANT SCENARIO DECOMMISSIONING | Oracle Financial Services Software Limited | LEATHERS, EMILY GORMAN | 2187 | §101 | Non-Final OA | 33d | Pending | May 12, 2022 |
| 17735143 | MINIMIZING UNMET DEMANDS DUE TO SHORT SUPPLY | Oracle International Corporation | EL-BATHY, MOHAMED N | 3624 | §101 | Final Rejection | 177d overdue | Pending | May 03, 2022 |
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