Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18808386 | SYSTEM AND METHOD TO ENHANCE AUDIO AND VIDEO MEDIA USING GENERATIVE ARTIFICIAL INTELLIGENCE | August 2024 | November 2024 | Allow | 3 | 0 | 0 | Yes | No |
| 18766629 | FEDERATED LEARNING SERVICE IN A PROVIDER NETWORK AND TRAINING MACHINE LEARNING MODELS USING DEVICES EXTERNAL TO THE PROVIDER NETWORK | July 2024 | February 2025 | Allow | 7 | 0 | 0 | Yes | No |
| 18757447 | METHODS AND SYSTEMS FOR GENERATING ALTERNATIVE CONTENT. | June 2024 | March 2025 | Allow | 8 | 0 | 0 | Yes | No |
| 18675520 | System and method for document analysis of a design document having design elements | May 2024 | January 2025 | Allow | 8 | 0 | 0 | Yes | No |
| 18609894 | TRACKING APPROVALS FOR AN ELECTRONIC DOCUMENT MANAGED BY AN ELECTRONIC DOCUMENT PLATFORM | March 2024 | April 2025 | Allow | 13 | 1 | 0 | Yes | No |
| 18424718 | METHODS AND APPARATUS FOR SELECTING, HIGH LIGHTING AND/OR PROCESSING, TEXT INCLUDED IN A PDF DOCUMENT | January 2024 | September 2024 | Allow | 8 | 0 | 0 | Yes | No |
| 18422478 | FLEXIBLE ONLINE FORM DISPLAY | January 2024 | October 2024 | Allow | 9 | 0 | 0 | Yes | No |
| 18495345 | TAMPER-PROOF INTERACTION DATA | October 2023 | September 2024 | Allow | 11 | 0 | 0 | Yes | No |
| 18381213 | Optimized Sampling Of Resource Content Data For Session Recording Under Communication Constraints By Independently Capturing Agents | October 2023 | September 2024 | Allow | 11 | 0 | 0 | Yes | No |
| 18482565 | USER INTERFACES FOR SURFACING WEB BROWSER HISTORY DATA | October 2023 | October 2025 | Allow | 24 | 1 | 0 | Yes | No |
| 18467637 | IMAGE BASED SECURE ACCESS TO WEB PAGE | September 2023 | May 2025 | Allow | 20 | 1 | 0 | Yes | No |
| 18466497 | Systems and methods for automatically scoring a group of design elements | September 2023 | June 2025 | Allow | 21 | 2 | 0 | Yes | No |
| 18460456 | SYSTEMS AND METHODS FOR AUGMENTING ELECTRONIC CONTENT | September 2023 | July 2024 | Allow | 11 | 0 | 0 | Yes | No |
| 18317024 | REDUCED DENSITY MATRIX ESTIMATION FOR PARTICLE-NUMBER-CONSERVING FERMION SYSTEM | May 2023 | March 2026 | Allow | 34 | 0 | 0 | No | No |
| 18144741 | EXPLAINABLE NEURAL NETWORK FOR ANOMALY DETECTION | May 2023 | January 2026 | Allow | 33 | 0 | 0 | Yes | No |
| 18299507 | CACHED DATABASE AND SYNCHRONIZATION SYSTEM FOR PROVIDING DYNAMIC LINKED PANELS IN USER INTERFACE | April 2023 | November 2024 | Allow | 19 | 1 | 0 | Yes | No |
| 18118994 | MACHINE LEARNING TO ADAPT EXTRACTION TO DIFFERENT DOCUMENTS | March 2023 | January 2026 | Allow | 35 | 0 | 0 | Yes | No |
| 18118348 | CONFIGURABLE AND DYNAMIC TRANSFORMATION OF WEB CONTENT | March 2023 | March 2025 | Allow | 24 | 2 | 0 | Yes | No |
| 18107664 | INSERTION OF STANDARD TEXT IN TRANSCRIPTION | February 2023 | May 2025 | Allow | 28 | 3 | 0 | Yes | No |
| 18152879 | SYSTEMS AND METHODS FOR INDICATOR IDENTIFICATION | January 2023 | January 2026 | Allow | 36 | 0 | 0 | Yes | No |
| 18152931 | METHOD AND DEVICE FOR CONTINUAL MACHINE LEARNING OF A SEQUENCE OF DIFFERENT TASKS | January 2023 | October 2025 | Allow | 33 | 0 | 0 | Yes | No |
| 18095632 | SUSTAINABLE RETRAINING FOR PRODUCTION MACHINE LEARNING | January 2023 | October 2025 | Allow | 33 | 0 | 0 | Yes | No |
| 18148305 | Method, Apparatus, and Computing Device for Constructing Prediction Model, and Storage Medium | December 2022 | September 2025 | Allow | 33 | 0 | 0 | Yes | No |
| 18088246 | Using Attributes for Font Recommendations | December 2022 | February 2026 | Allow | 38 | 4 | 0 | Yes | No |
| 18087062 | SYSTEM, METHOD, AND COMPUTER PROGRAM FOR COMPUTING STRATEGIES FOR MODEL INFERENCES | December 2022 | September 2025 | Allow | 33 | 0 | 0 | Yes | No |
| 18145086 | CHARACTER INPUT DEVICE, CHARACTER INPUT METHOD, AND COMPUTER-READABLE STORAGE MEDIUM STORING A CHARACTER INPUT PROGRAM FOR SEARCHING A DICTIONARY TO DETERMINE REGISTRATION OF A CHARACTER STRING | December 2022 | September 2024 | Allow | 21 | 2 | 0 | Yes | No |
| 18065730 | CLASSIFICATION SYSTEM | December 2022 | September 2025 | Allow | 33 | 0 | 0 | Yes | No |
| 18080290 | CONFIGURING AN EXPLANATORY MODEL TO OUTPUT CONSISTENT EXPLANATIONS ACROSS INPUTS | December 2022 | August 2025 | Allow | 32 | 0 | 0 | Yes | No |
| 18059366 | PERFORMANCE CONTROLLER FOR MACHINE LEARNING BASED DIGITAL ASSISTANT | November 2022 | August 2025 | Allow | 33 | 0 | 0 | Yes | No |
| 18057845 | METHOD, DEVICE OF DETERMINING A STYLE FOR A WEB PAGE ELEMENT, AND STORAGE MEDIUM | November 2022 | January 2025 | Allow | 26 | 1 | 0 | Yes | No |
| 18056942 | MEDICAL INFORMATION PROCESSING APPARATUS CAPABLE OF DISCRIMINATING CAPTURED IMAGE AND PROCESSED IMAGE, MEDIAL INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM | November 2022 | September 2025 | Allow | 34 | 1 | 1 | Yes | No |
| 17982896 | IDENTIFYING, OR CHECKING INTEGRITY OF, A MACHINE-LEARNING CLASSIFICATION MODEL | November 2022 | March 2026 | Allow | 40 | 1 | 0 | No | No |
| 17978908 | METHOD FOR EDITING THIRD-PARTY'S CONTENT IN A DOCUMENT AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM | November 2022 | February 2025 | Allow | 28 | 1 | 0 | Yes | No |
| 17973670 | DATA MODEL CONFIGURATION METHOD FOR LEARNING DATA, LEARNING DATA GENERATION APPARATUS, AND MACHINE LEARNING METHOD | October 2022 | December 2025 | Allow | 37 | 1 | 0 | Yes | No |
| 17897702 | PASSIVE OUTLIER-TOLERANT AND ACTIVE OUTLIER-TOLERANT LEARNING METHOD WITH ABNORMAL SAMPLES AND SYSTEM THEREOF | August 2022 | June 2025 | Allow | 34 | 0 | 0 | Yes | No |
| 17895121 | STORAGE MEDIUM, INFORMATION PROCESSING DEVICE, AND TRAINING PROCESSING METHOD | August 2022 | August 2025 | Allow | 36 | 0 | 0 | Yes | No |
| 17853048 | MITIGATION OF QUBIT DECOHERENCE IN QUANTUM COMPUTING AND INFORMATION PROCESSING SYSTEMS | June 2022 | February 2026 | Allow | 43 | 0 | 0 | Yes | No |
| 17847308 | DATA SPLITTING SYSTEM AND METHOD FOR VALIDATING MACHINE LEARNING | June 2022 | January 2026 | Allow | 43 | 0 | 0 | Yes | No |
| 17839357 | UNIVERSAL CONTENT FOR EMAIL TEMPLATE | June 2022 | June 2024 | Allow | 24 | 3 | 0 | Yes | No |
| 17756127 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD FOR USERS AT REMOTE LOCATIONS TO COMMUNICATE NATURALLY | May 2022 | February 2026 | Allow | 45 | 1 | 0 | No | No |
| 17709646 | CLASS-SPECIFIC PREDICTOR IMPORTANCE | March 2022 | June 2025 | Allow | 38 | 0 | 0 | No | No |
| 17708384 | PRE-TRAINING MOLECULE EMBEDDING GNNS USING CONTRASTIVE LEARNING BASED ON SCAFFOLDING | March 2022 | February 2025 | Allow | 34 | 0 | 0 | Yes | No |
| 17654411 | AUTOMATED MODEL LINEAGE INFERENCE | March 2022 | March 2026 | Allow | 48 | 1 | 0 | Yes | No |
| 17684937 | FIELD PROGRAMMABLE GATE ARRAY (FPGA) BASED NEUROMORPHIC COMPUTING ARCHITECTURE | March 2022 | March 2025 | Allow | 37 | 0 | 0 | Yes | No |
| 17684474 | BEHAVIOR PREDICTION OF A VEHICLE PARTICIPATING IN VEHICLE-GRID INTEGRATION | March 2022 | August 2025 | Allow | 42 | 1 | 0 | Yes | No |
| 17684103 | SPIKING NEURAL NETWORK AND NEURON CLOCK GENERATING METHOD THEREOF | March 2022 | March 2026 | Allow | 48 | 1 | 0 | Yes | No |
| 17678949 | Optimal Control Method for Wastewater Treatment Process based on Self-Adjusting Multi-Task Particle Swarm Optimization | February 2022 | July 2025 | Allow | 41 | 1 | 0 | Yes | No |
| 17637138 | LEARNING DEVICE, LEARNING METHOD, AND LEARNING PROGRAM | February 2022 | January 2026 | Allow | 47 | 1 | 0 | Yes | No |
| 17592151 | SYSTEM AND METHOD FOR MACHINE LEARNING MONITORING | February 2022 | May 2025 | Allow | 40 | 0 | 0 | Yes | No |
| 17589819 | SYSTEMS AND METHODS FOR TEMPORAL KERNEL APPROACH FOR DEEP LEARNING | January 2022 | December 2025 | Allow | 46 | 1 | 0 | Yes | No |
| 17558708 | LOCAL SERVICES IN QUANTUM ISOLATION ZONES | December 2021 | May 2025 | Allow | 41 | 0 | 0 | Yes | No |
| 17619449 | SYSTEM AND METHOD FOR WEARABLE MEDICAL SENSOR AND NEURAL NETWORK BASED DIABETES ANALYSIS | December 2021 | December 2025 | Allow | 48 | 1 | 0 | Yes | No |
| 17546629 | MODEL AGGREGATION FOR FITTED Q-EVALUATION | December 2021 | January 2025 | Allow | 38 | 0 | 0 | No | No |
| 17543650 | SYSTEMS AND METHODS FOR AUTOMATIC EVENT OUTCOME PREDICTION, CONFIRMATION, AND VALIDATION USING MACHINE LEARNING | December 2021 | April 2025 | Allow | 40 | 0 | 0 | Yes | No |
| 17613284 | SYSTEM AND METHOD FOR INCREMENTAL LEARNING USING A GROW-AND-PRUNE PARADIGM WITH NEURAL NETWORKS | November 2021 | May 2025 | Allow | 41 | 0 | 0 | Yes | No |
| 17500998 | STORAGE MEDIUM STORING QUANTIZATION PROGRAM, QUANTIZATION METHOD, AND QUANTIZATION APPARATUS | October 2021 | June 2025 | Allow | 44 | 1 | 0 | Yes | No |
| 17603615 | Systems and methods of generating a design based on a design template and another design | October 2021 | August 2024 | Allow | 34 | 3 | 0 | Yes | No |
| 17496178 | INTEGRATION DEVICE, INTEGRATION METHOD, AND STORAGE MEDIUM | October 2021 | July 2025 | Allow | 45 | 1 | 0 | Yes | No |
| 17484571 | DYNAMICALLY PARAMETERIZED MACHINE LEARNING FRAMEWORKS | September 2021 | June 2025 | Allow | 45 | 1 | 0 | Yes | No |
| 17384378 | SUPERVISED LEARNING TECHNIQUES FOR ENCODER TRAINING | July 2021 | May 2025 | Allow | 45 | 1 | 0 | Yes | No |
| 17364853 | SCALABLE NOISE METROLOGY FOR QUANTUM CIRCUITS | June 2021 | August 2025 | Allow | 49 | 1 | 0 | No | No |
| 17236503 | METHOD AND APPARATUS WITH NEURAL NETWORK PRUNING | April 2021 | February 2025 | Allow | 46 | 1 | 0 | Yes | No |
| 17301612 | AN INTEGRATED CIRCUIT WITH HARDWARD CONVOLUTION NEURAL NETWORK UNITS FOR EFFICIENT EXPANSION PROCESSES | April 2021 | February 2025 | Allow | 46 | 1 | 0 | Yes | No |
| 17301611 | CONVOLUTIONAL NEURAL NETWORK WITH BUILDING BLOCKS | April 2021 | September 2024 | Allow | 42 | 0 | 0 | Yes | No |
| 17217504 | CONTRACT RECOMMENDATION PLATFORM | March 2021 | December 2024 | Allow | 45 | 4 | 0 | Yes | No |
| 17216010 | AUTOMATIC LAYOUT OF ELEMENTS IN A PROCESS FLOW ON A 2-D CANVAS BASED ON REPRESENTATIONS OF FLOW LOGIC | March 2021 | September 2024 | Allow | 41 | 5 | 0 | Yes | No |
| 17179214 | APPARATUS, SYSTEM AND METHOD FOR TRANSLATING SENSOR LABEL DATA BETWEEN SENSOR DOMAINS | February 2021 | August 2025 | Allow | 53 | 2 | 0 | No | No |
| 17174944 | CONSTRAINT SAMPLING REINFORCEMENT LEARNING FOR RECOMMENDATION SYSTEMS | February 2021 | April 2025 | Allow | 50 | 2 | 0 | Yes | No |
| 17159625 | COARSE-TO-FINE ABSTRACTIVE DIALOGUE SUMMARIZATION WITH CONTROLLABLE GRANULARITY | January 2021 | November 2024 | Allow | 46 | 4 | 0 | Yes | No |
| 17151966 | DEEP NEURAL NETWORK TRAINING ACCELERATOR AND OPERATION METHOD THEREOF | January 2021 | December 2024 | Allow | 47 | 1 | 0 | Yes | No |
| 17056272 | AUTOENCODING GENERATIVE ADVERSARIAL NETWORK FOR AUGMENTING TRAINING DATA USABLE TO TRAIN PREDICTIVE MODELS | November 2020 | December 2024 | Allow | 48 | 1 | 0 | Yes | No |
| 17040027 | INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD TO EVALUATE A PERSON IN CHARGE OF LABELING | September 2020 | August 2024 | Allow | 47 | 1 | 0 | Yes | No |
| 17018507 | MAPPING CONDITIONAL EXECUTION LOGIC TO QUANTUM COMPUTING RESOURCES | September 2020 | November 2024 | Allow | 50 | 2 | 0 | Yes | No |
| 17000399 | INTELLIGENT BACKUP AND RESTORATION OF CONTAINERIZED ENVIRONMENT | August 2020 | March 2025 | Allow | 55 | 3 | 0 | Yes | No |
| 16393957 | METHOD AND SYSTEM FOR REUSING HTML CONTENT | April 2019 | February 2020 | Allow | 9 | 1 | 0 | Yes | No |
| 16388287 | ARCHITECTURES FOR MODELING COMMENT AND EDIT RELATIONS | April 2019 | March 2025 | Allow | 60 | 5 | 0 | Yes | Yes |
| 16153328 | DECISION-SUPPORT TOOLS FOR PEDIATRIC OBESITY | October 2018 | November 2024 | Allow | 60 | 5 | 0 | Yes | No |
| 15877318 | CONTENT CAROUSEL IN A SOCIAL MEDIA TIMELINE | January 2018 | April 2020 | Allow | 27 | 1 | 0 | Yes | No |
| 15802545 | PROVIDING HYPERLINKS IN PRESENTATIONS VIEWED REMOTELY | November 2017 | December 2019 | Allow | 25 | 1 | 0 | Yes | No |
| 15784157 | Comparing, And Generating Revision Markings With Respect To, An Arbitrary Number of Text Segments | October 2017 | April 2019 | Allow | 18 | 1 | 0 | Yes | No |
| 15688984 | PROVIDING HYPERLINKS IN PRESENTATIONS VIEWED REMOTELY | August 2017 | December 2019 | Allow | 27 | 1 | 0 | Yes | No |
| 15635931 | OPTIMIZED USER INTERFACE RENDERING | June 2017 | April 2019 | Allow | 22 | 1 | 0 | Yes | No |
| 15362138 | SUBJECT-MATTER ANALYSIS OF TABULAR DATA | November 2016 | October 2018 | Allow | 23 | 2 | 0 | No | Yes |
| 15263792 | METHOD AND APPARATUS FOR MULTI-EXPERIENCE METADATA TRANSLATION OF MEDIA CONTENT WITH METADATA | September 2016 | August 2019 | Allow | 35 | 4 | 0 | Yes | No |
| 15247682 | Animated Globe Showing Real-Time Web User Performance Measurements | August 2016 | December 2017 | Allow | 16 | 1 | 0 | Yes | No |
| 15203701 | DATA TRANSMISSION AND RENDERING TECHNIQUES BY A DEVICE VIA A NETWORK | July 2016 | May 2018 | Allow | 23 | 1 | 0 | Yes | No |
| 15192599 | APPARATUS AND METHOD FOR SHARING INTRODUCTION INFORMATION | June 2016 | August 2019 | Allow | 37 | 2 | 0 | Yes | No |
| 15142095 | SOCIAL MEDIA-BASED PUBLISHING AND FEEDBACK | April 2016 | September 2017 | Allow | 16 | 2 | 0 | Yes | No |
| 15094050 | OPTIMIZED USER INTERFACE RENDERING | April 2016 | January 2019 | Allow | 33 | 1 | 0 | Yes | No |
| 15025753 | DISPLAY CONTROL DEVICE, DISPLAY CONTROL METHOD, AND PROGRAM FOR DISPLAYING AN ANNOTATION TOWARD A USER | March 2016 | June 2019 | Allow | 39 | 3 | 0 | Yes | No |
| 15052456 | DATA FILTERING BASED ON A CELL ENTRY | February 2016 | June 2019 | Allow | 40 | 4 | 0 | Yes | No |
| 14912481 | INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD FOR PRESENTING A PLURALITY OF PIECES OF LINK INFORMATION TO A USER | February 2016 | July 2019 | Allow | 41 | 3 | 0 | Yes | No |
| 14978495 | WEB DOCUMENT ANNOTATION SERVICE | December 2015 | August 2016 | Allow | 8 | 1 | 0 | Yes | No |
| 14844108 | AUTOMATED DOCUMENT REVISION MARKUP AND CHANGE CONTROL | September 2015 | November 2016 | Allow | 15 | 2 | 0 | Yes | No |
| 14804213 | NARRATION OF NETWORK CONTENT | July 2015 | October 2017 | Allow | 27 | 1 | 0 | Yes | No |
| 14566129 | METHOD AND APPARATUS FOR CONTROLLING CURSOR IN PORTABLE DEVICE | December 2014 | March 2018 | Allow | 39 | 2 | 0 | Yes | No |
| 14566095 | REPRESENTING AND MANIPULATING HIERARCHICAL DATA | December 2014 | May 2016 | Allow | 17 | 0 | 0 | No | No |
| 14563984 | CONTENT SYNCHRONIZATION ACROSS DEVICES | December 2014 | June 2017 | Allow | 30 | 1 | 0 | Yes | No |
| 14563831 | INTELLIGENT BROWSER-BASED DISPLAY TILING | December 2014 | September 2019 | Allow | 57 | 4 | 1 | Yes | No |
| 14095682 | Apparatus And A Method For Logically Processing A Composite Graph In A Formatted Document | December 2013 | October 2016 | Allow | 34 | 1 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner NGUYEN, MAIKHANH.
With a 0.0% reversal rate, the PTAB affirms the examiner's rejections in the vast majority of cases. This reversal rate is in the bottom 25% across the USPTO, indicating that appeals face significant challenges here.
Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.
In this dataset, 50.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the top 25% across the USPTO, indicating that filing appeals is particularly effective here. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
⚠ Appeals to PTAB face challenges. Ensure your case has strong merit before committing to full Board review.
✓ Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.
Examiner NGUYEN, MAIKHANH works in Art Unit 2144 and has examined 244 patent applications in our dataset. With an allowance rate of 99.6%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 41 months.
Examiner NGUYEN, MAIKHANH's allowance rate of 99.6% places them in the 94% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by NGUYEN, MAIKHANH receive 2.04 office actions before reaching final disposition. This places the examiner in the 53% percentile for office actions issued. This examiner issues a slightly above-average number of office actions.
The median time to disposition (half-life) for applications examined by NGUYEN, MAIKHANH is 41 months. This places the examiner in the 21% percentile for prosecution speed. Applications take longer to reach final disposition with this examiner compared to most others.
Conducting an examiner interview provides a +2.2% benefit to allowance rate for applications examined by NGUYEN, MAIKHANH. This interview benefit is in the 22% percentile among all examiners. Note: Interviews show limited statistical benefit with this examiner compared to others, though they may still be valuable for clarifying issues.
When applicants file an RCE with this examiner, 31.0% of applications are subsequently allowed. This success rate is in the 63% percentile among all examiners. Strategic Insight: RCEs show above-average effectiveness with this examiner. Consider whether your amendments or new arguments are strong enough to warrant an RCE versus filing a continuation.
This examiner enters after-final amendments leading to allowance in 33.3% of cases where such amendments are filed. This entry rate is in the 49% percentile among all examiners. Strategic Recommendation: This examiner shows below-average receptiveness to after-final amendments. You may need to file an RCE or appeal rather than relying on after-final amendment entry.
When applicants request a pre-appeal conference (PAC) with this examiner, 90.9% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 68% percentile among all examiners. Strategic Recommendation: Pre-appeal conferences show above-average effectiveness with this examiner. If you have strong arguments, a PAC request may result in favorable reconsideration.
This examiner withdraws rejections or reopens prosecution in 89.3% of appeals filed. This is in the 82% percentile among all examiners. Of these withdrawals, 28.0% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner frequently reconsiders rejections during the appeal process compared to other examiners. Per MPEP § 1207.01, all appeals must go through a mandatory appeal conference. Filing a Notice of Appeal may prompt favorable reconsideration even before you file an Appeal Brief.
When applicants file petitions regarding this examiner's actions, 55.6% are granted (fully or in part). This grant rate is in the 57% percentile among all examiners. Strategic Note: Petitions show above-average success regarding this examiner's actions. Petitionable matters include restriction requirements (MPEP § 1002.02(c)(2)) and various procedural issues.
Examiner's Amendments: This examiner makes examiner's amendments in 29.9% of allowed cases (in the 99% percentile). Per MPEP § 1302.04, examiner's amendments are used to place applications in condition for allowance when only minor changes are needed. This examiner frequently uses this tool compared to other examiners, indicating a cooperative approach to getting applications allowed. Strategic Insight: If you are close to allowance but minor claim amendments are needed, this examiner may be willing to make an examiner's amendment rather than requiring another round of prosecution.
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 11% percentile). This examiner rarely issues Quayle actions compared to other examiners. Allowances typically come directly without a separate action for formal matters.
Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:
Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.
No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.
Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.
Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.