Technology areas: Computing & Software • Transportation, E-Commerce & Mechanical Systems
18 pending office actions • 3 clients • 18 examiners • 15 art units • 0 of 18 (0%) have an AI response strategy ready • 32 patents granted in the last 365 days
Kraguljac Law Group - Oracle handles Computing & Software matters and has 975 career applications. It currently shows 19 pending office actions, indicating active prosecution within the recorded application portfolio.
The resolved allowance rate is 94.6%. An average of 5.05 office actions per allowance shows that a high allowance outcome was accompanied by substantial examination activity in matters that ultimately reached allowance. That combination is relevant when evaluating both results and expected response workload.
Based on the USPTO statutory response window for each pending office action. 9 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. 9 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 | 8 (44%) |
| §101 + other | 2 (11%) |
| §103 only | 6 (33%) |
| §102 only | 1 (6%) |
| Multi-statute (no §101) | 1 (6%) |
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 |
|---|---|---|---|
| CHBOUKI, TAREK | 1 | 81.3% | +23.8% |
| MAHMUD, GOLAM | 1 | 61.5% | +30.1% |
| WOO, STELLA L | 1 | 79.7% | +13.4% |
| HANKS, BENJAMIN L | 1 | 21.4% | +30.3% |
| LEE, PO HAN | 1 | 32.1% | +41.7% |
| SHAIKH, ZEESHAN MAHMOOD | 1 | 58.0% | +48.7% |
| LIN, KATHERINE Y | 1 | 91.0% | +6.4% |
| OBAID, HAMZEH M | 1 | 37.9% | +21.8% |
| PHAM, KHANH B | 1 | 72.4% | +15.5% |
| HADDAD, MAJD MAHER | 1 | 83.3% | +83.3% |
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 |
| 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 |
| 19382597 | MULTI-AGENT LLM NARRATIVE GENERATION ARCHITECTURE | CHBOUKI, TAREK | — |
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 |
| 18806292 | CUSTOMIZING HEALTHCARE APP DASHBOARD BASED ON CLINICAL RECORDS | HANKS, BENJAMIN L | 33d |
| 19382597 | MULTI-AGENT LLM NARRATIVE GENERATION ARCHITECTURE | CHBOUKI, TAREK | — |
| 19184135 | DASHBOARD INTERFACE | MAHMUD, GOLAM | — |
| 18938385 | PREEMPTIVELY ESTABLISHED LIVE CONNECTIONS FOR REAL-TIME TRANSCRIPTIONS IN VIRTUAL MEETINGS | WOO, STELLA L | — |
| 18627860 | LLM FINE-TUNING FOR TEXT SUMMARIZATION | SHAIKH, ZEESHAN MAHMOOD | — |
| 18133197 | MERGED REFERENCE FINGERPRINT GENERATION FOR MACHINE-LEARNING DETECTION OF DEGRADED OPERATION | PHAM, KHANH B | — |
| Client (Assignee) | Pending OAs |
|---|---|
| ORACLE INTERNATIONAL CORPORATION | 12 |
| ORACLE FINANCIAL SERVICES SOFTWARE LIMITED | 3 |
| CERNER INNOVATION, INC. | 3 |
| Art Unit | Apps |
|---|---|
| 3624 | 3 |
| 2146 | 2 |
| 2165 | 1 |
| 2458 | 1 |
| 2693 | 1 |
| 3684 | 1 |
| 3623 | 1 |
| 2658 | 1 |
| 2113 | 1 |
| 2166 | 1 |
| App # | Title | Client | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|---|
| 19382597 | MULTI-AGENT LLM NARRATIVE GENERATION ARCHITECTURE | Oracle Financial Services Software Limited | CHBOUKI, TAREK | 2165 | §102§103 | Non-Final OA | — | Pending | Nov 07, 2025 |
| 19184135 | DASHBOARD INTERFACE | Cerner Innovation, Inc. | MAHMUD, GOLAM | 2458 | §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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 18104506 | CIRCULAR-BUFFER FOR GENERATING MACHINE LEARNING ESTIMATES OF STREAMING OBSERVATIONS IN REAL TIME | Oracle International Corporation | KHAN, SHAHID K | 2146 | §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 |
| 17751083 | DEPENDENCY CHECKING FOR MACHINE LEARNING MODELS | Oracle International Corporation | BASOM, BLAINE T | 2141 | §103 | Non-Final OA | 3d overdue | Pending | May 23, 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 |
IP Author helps law firms respond to office actions faster with AI-generated responses, examiner analytics, and prosecution intelligence.
Start Free Trial94.6% of resolved applications prosecuted by Kraguljac Law Group - Oracle were allowed, across 975 applications in USPTO records.
5.05 office actions per allowed application on average.
18 pending office actions as of October 2026, for 3 clients, before 18 examiners in 15 art units.
