Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 17127460 | MOBILE IMAGE SEARCH SYSTEM | December 2020 | January 2024 | Allow | 37 | 1 | 0 | No | No |
| 17053986 | METHOD FOR PREFLIGHTING A GRAPHICS ARTWORK FILE | November 2020 | February 2024 | Allow | 39 | 4 | 0 | No | No |
| 17069638 | VIDEO ANCHORS | October 2020 | March 2023 | Allow | 29 | 0 | 0 | No | No |
| 17044578 | PEDESTRIAN RE-IDENTIFICATION METHOD AND APPARATUS | October 2020 | July 2023 | Allow | 34 | 1 | 0 | No | No |
| 17035587 | MASKED FACE RECOGNITION | September 2020 | December 2020 | Allow | 2 | 0 | 0 | No | No |
| 16927010 | APPARATUS AND METHOD FOR DATA GENERATION | July 2020 | January 2023 | Allow | 30 | 0 | 0 | Yes | No |
| 16922977 | IDENTIFICATION OF AN ARRAY IN A SEMICONDUCTOR SPECIMEN | July 2020 | December 2022 | Allow | 29 | 0 | 0 | Yes | No |
| 16882296 | ADVERSARIAL PRETRAINING OF MACHINE LEARNING MODELS | May 2020 | June 2023 | Allow | 37 | 2 | 0 | Yes | No |
| 16844812 | ROOM LAYOUT ESTIMATION METHODS AND TECHNIQUES | April 2020 | May 2023 | Allow | 37 | 2 | 0 | Yes | No |
| 16804635 | DETECTING FRAUDULENT FACIAL RECOGNITION | February 2020 | September 2020 | Allow | 7 | 1 | 0 | Yes | No |
| 16733119 | SYSTEM AND METHOD FOR PROCESSING TRANSACTION RECORDS FOR USERS | January 2020 | January 2023 | Allow | 36 | 1 | 0 | No | No |
| 16693372 | CLUSTERING METHOD AND DEVICE | November 2019 | September 2022 | Allow | 33 | 1 | 0 | No | No |
| 16677832 | ADAPTING PHYSICAL ACTIVITIES AND EXERCISES BASED ON FACIAL ANALYSIS BY IMAGE PROCESSING | November 2019 | November 2023 | Allow | 49 | 3 | 0 | Yes | No |
| 16678807 | ATM TRANSACTION SECURITY USING FACIAL DETECTION | November 2019 | October 2020 | Allow | 11 | 2 | 0 | Yes | No |
| 16531930 | SYSTEM AND METHOD FOR MONITORING PROCEDURE COMPLIANCE | August 2019 | June 2022 | Allow | 35 | 2 | 0 | Yes | No |
| 16397609 | METHOD AND APPARATUS WITH VEIN PATTERN AUTHENTICATION | April 2019 | January 2020 | Allow | 8 | 1 | 0 | No | No |
| 16393337 | Model Management System for Developing Machine Learning Models | April 2019 | January 2023 | Allow | 45 | 1 | 0 | Yes | No |
| 16209766 | SYSTEM AND METHOD FOR PROCESSING TRANSACTION RECORDS FOR USERS | December 2018 | October 2019 | Allow | 10 | 2 | 0 | No | No |
| 16192419 | CONTENT TAGGING | November 2018 | October 2020 | Allow | 23 | 3 | 0 | Yes | No |
| 16054757 | IMAGE COMPENSATION USING IMAGE ENHANCEMENT EFFECTS | August 2018 | October 2020 | Allow | 26 | 2 | 0 | No | No |
| 16049322 | IDENTIFYING UNKNOWN PERSON INSTANCES IN IMAGES | July 2018 | July 2019 | Allow | 12 | 1 | 0 | Yes | No |
| 15977517 | Training Set Sufficiency For Image Analysis | May 2018 | September 2020 | Allow | 28 | 1 | 0 | No | No |
| 15974595 | SYSTEMS AND METHODS FOR INSPECTION AND DEFECT DETECTION USING 3-D SCANNING | May 2018 | May 2020 | Abandon | 24 | 1 | 0 | No | No |
| 15968037 | IRIS RECOGNITION METHOD, ELECTRONIC DEVICE AND COMPUTER-READABLE STORAGE MEDIUM | May 2018 | August 2020 | Allow | 28 | 1 | 0 | Yes | No |
| 15968012 | SYSTEM AND METHOD FOR BATCH-NORMALIZED RECURRENT HIGHWAY NETWORKS | May 2018 | August 2020 | Allow | 28 | 1 | 0 | Yes | No |
| 15764775 | CLOUD BASED AUTHENTICATION SYSTEM | March 2018 | October 2021 | Abandon | 43 | 3 | 0 | No | No |
| 15923511 | ROOM LAYOUT ESTIMATION METHODS AND TECHNIQUES | March 2018 | January 2020 | Allow | 22 | 1 | 0 | Yes | No |
| 15906526 | METHODS AND SYSTEMS FOR AUTOMATIC FULLNESS ESTIMATION OF CONTAINERS | February 2018 | October 2018 | Allow | 8 | 1 | 0 | No | No |
| 15746460 | APPARATUS FOR ENCODING AND TRANSCODING WHICH APPLIES MULTI-FORMAT ULTRA-HIGH DEFINITION HIGH-EFFICIENCY CODEC | January 2018 | August 2020 | Allow | 30 | 0 | 0 | No | No |
| 15876334 | METHOD, SYSTEM, AND NEURAL NETWORK FOR IDENTIFYING DIRECTION OF A DOCUMENT | January 2018 | September 2020 | Allow | 32 | 0 | 0 | Yes | No |
| 15876217 | Face identification system and Face identification method with High Security Level and Low Power Consumption | January 2018 | November 2020 | Allow | 34 | 0 | 0 | Yes | No |
| 15875393 | VISION INTELLIGENCE MANAGEMENT FOR ELECTRONIC DEVICES | January 2018 | September 2020 | Allow | 32 | 2 | 0 | Yes | No |
| 15875607 | INTERACTIVE SEMI-AUTOMATED BORESCOPE VIDEO ANALYSIS AND DAMAGE ASSESSMENT SYSTEM AND METHOD OF USE | January 2018 | October 2020 | Allow | 33 | 1 | 0 | No | No |
| 15865666 | PROCESSOR, DISPLAY DRIVER, AND ELECTRONIC DEVICE | January 2018 | October 2020 | Allow | 33 | 1 | 0 | No | No |
| 15861635 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY RECORDING MEDIUM STORING PROGRAM FOR CAUSING COMPUTER TO EXECUTE IMAGE PROCESSING METHOD | January 2018 | March 2020 | Allow | 27 | 1 | 0 | No | No |
| 15841480 | FUSING SPARSE KERNELS TO APPROXIMATE A FULL KERNEL OF A CONVOLUTIONAL NEURAL NETWORK | December 2017 | March 2020 | Allow | 27 | 1 | 0 | Yes | No |
| 15841157 | SYSTEM AND METHOD FOR CONTEXTUAL DRIVEN INTELLIGENCE | December 2017 | September 2020 | Allow | 33 | 3 | 0 | Yes | No |
| 15816796 | Systems, Methods, And Devices For Image Matching And Object Recognition In Images Using Textures | November 2017 | July 2019 | Allow | 20 | 1 | 0 | No | No |
| 15640124 | SYSTEMS AND METHODS FOR MOBILE IMAGE SEARCH | June 2017 | September 2020 | Allow | 39 | 3 | 0 | No | No |
| 15632876 | METHOD OF DETECTING BOUNDARY BETWEEN IRIS AND SCLERA | June 2017 | April 2019 | Allow | 21 | 0 | 0 | No | No |
| 15632116 | FAST MOTION PLANNING COLLISION DETECTION | June 2017 | January 2020 | Allow | 31 | 1 | 0 | Yes | No |
| 15631597 | FINGERPRINT RECOGNITION COMPONENT, PRESSURE DETECTION METHOD AND FINGERPRINT RECOGNITION IC | June 2017 | April 2020 | Abandon | 34 | 2 | 0 | No | No |
| 15631957 | METHOD, SYSTEM AND APPARATUS FOR DETERMINING A POSE FOR AN OBJECT | June 2017 | March 2020 | Abandon | 33 | 1 | 0 | No | No |
| 15609296 | METHOD AND DEVICE FOR CLASSIFYING SCANNED DOCUMENTS | May 2017 | June 2020 | Allow | 36 | 1 | 1 | No | No |
| 15609212 | SYSTEM AND METHOD FOR PERFORMING SALIENCY DETECTION USING DEEP ACTIVE CONTOURS | May 2017 | April 2020 | Allow | 35 | 2 | 0 | No | No |
| 15609248 | SYSTEMS AND METHODS FOR PRESENTATION OF HANDWRITING INPUT | May 2017 | January 2021 | Abandon | 44 | 5 | 0 | No | No |
| 15532041 | INFORMATION PROCESSING APPARATUS, METHOD FOR PROCESSING INFORMATION, DISCRIMINATOR GENERATING APPARATUS, METHOD FOR GENERATING DISCRIMINATOR, AND PROGRAM | May 2017 | February 2020 | Allow | 33 | 2 | 0 | No | No |
| 15599299 | SYSTEM AND METHOD FOR PROVIDING A REAL-TIME, ONLINE BIOMETRIC SIGNATURE | May 2017 | October 2018 | Abandon | 17 | 1 | 0 | No | No |
| 15490274 | FAST FACE-MORPHING USING NEURAL NETWORKS | April 2017 | September 2019 | Allow | 29 | 1 | 0 | Yes | No |
| 15489896 | FACE RECOGNITION METHOD AND DEVICE AND APPARATUS | April 2017 | February 2019 | Allow | 22 | 1 | 0 | No | No |
| 15485896 | SYSTEM AND METHOD FOR MONITORING PROCEDURE COMPLIANCE | April 2017 | May 2019 | Allow | 25 | 2 | 0 | No | No |
| 15485864 | APPARATUS AND METHOD FOR 3D PRINTING | April 2017 | July 2020 | Allow | 39 | 3 | 0 | No | No |
| 15486108 | Scene and Shot Detection and Characterization | April 2017 | November 2019 | Allow | 31 | 3 | 0 | Yes | No |
| 15310769 | METHODS AND SYSTEMS FOR ENROLLMENT AND AUTHENTICATION | November 2016 | February 2019 | Allow | 27 | 0 | 0 | Yes | No |
| 15349546 | METHOD OF ANALYSING IMAGES OF ROD-LIKE PARTICLES | November 2016 | January 2019 | Allow | 27 | 0 | 0 | Yes | No |
| 15349488 | METHOD OF EXTRACTING A REGION IN A DISTANCE IMAGE, STORAGE MEDIUM, AND HEAD MOUNTED DISPLAY APPARATUS | November 2016 | May 2019 | Allow | 30 | 1 | 0 | Yes | No |
| 15349863 | STEREOSCOPIC MAPPING | November 2016 | November 2018 | Allow | 25 | 1 | 0 | No | No |
| 15335130 | DUPLICATE/NEAR DUPLICATE DETECTION AND IMAGE REGISTRATION | October 2016 | July 2019 | Allow | 33 | 2 | 0 | Yes | No |
| 15288794 | FACE DETECTION DEVICE, IMAGING APPARATUS, AND FACE DETECTION METHOD | October 2016 | April 2018 | Allow | 18 | 2 | 0 | No | No |
| 15248384 | BIOMETRIC AUTHENTICATION DEVICE AND BIOMETRIC AUTHENTICATION METHOD | August 2016 | June 2018 | Abandon | 22 | 1 | 0 | No | No |
| 15248549 | ADAPTING PHYSICAL ACTIVITIES AND EXERCISES BASED ON PHYSIOLOGICAL PARAMETER ANALYSIS | August 2016 | July 2019 | Allow | 35 | 2 | 0 | Yes | No |
| 15248516 | DISPLAY CONTROL METHOD, TERMINAL DEVICE, AND STORAGE MEDIUM | August 2016 | October 2018 | Allow | 26 | 0 | 0 | Yes | No |
| 15249250 | AUTONOMOUS VISUAL NAVIGATION | August 2016 | April 2020 | Allow | 43 | 4 | 0 | Yes | No |
| 15247697 | SYSTEMS AND METHODS FOR CONTENT TAGGING | August 2016 | August 2018 | Allow | 23 | 0 | 0 | Yes | No |
| 15247805 | METHODS FOR OBJECT LOCALIZATION AND IMAGE CLASSIFICATION | August 2016 | March 2019 | Allow | 31 | 2 | 0 | Yes | No |
| 15219326 | IMAGE PROCESSING APPARATUS, METHOD OF CONTROLLING THE SAME, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM THAT EXTRACT PERSON GROUPS TO WHICH A PERSON BELONGS BASED ON A CORRELATION | July 2016 | May 2018 | Allow | 22 | 2 | 0 | No | No |
| 15219426 | APPARATUS AND METHOD FOR MEASURING QUALITY OF HOLOGRAPHIC IMAGE | July 2016 | July 2018 | Allow | 24 | 2 | 0 | No | No |
| 15219375 | INFORMATION PROCESSING METHOD, INFORMATION PROCESSING APPARATUS, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM THAT DETERMINE WHETHER A TARGET PERSON IS AN IMPORTANT PERSON BASED ON IMPORTANCE DEGREES | July 2016 | December 2018 | Allow | 29 | 1 | 0 | No | No |
| 15219369 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM STORING A PROGRAM THAT SELECT IMAGES BASED ON EVALUATIONS AND LAY OUT A MAIN IMAGE ON A MAIN SLOT AND A SUB IMAGE ON A SUB SLOT IN A TEMPLATE | July 2016 | January 2019 | Allow | 30 | 3 | 0 | Yes | No |
| 15166973 | IMAGE MATCH FOR FEATURELESS OBJECTS | May 2016 | October 2018 | Allow | 29 | 4 | 0 | Yes | Yes |
| 15149605 | METHOD AND APPARATUS TO GENERATE A VOLUME-PANORAMA IMAGE | May 2016 | November 2018 | Allow | 30 | 1 | 0 | No | No |
| 15018566 | SYSTEM AND METHOD FOR ADAPTIVELY CONFORMED IMAGING OF WORK PIECES HAVING DISPARATE CONFIGURATION | February 2016 | October 2018 | Allow | 33 | 1 | 0 | Yes | No |
| 14945760 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM | November 2015 | January 2018 | Abandon | 26 | 1 | 0 | No | No |
| 14944658 | COLOR-BASED GEOMETRIC FEATURE ENHANCEMENT FOR 3D MODELS | November 2015 | March 2019 | Allow | 40 | 3 | 0 | Yes | No |
| 14944860 | METHODS AND SYSTEMS FOR AUTOMATIC FULLNESS ESTIMATION OF CONTAINERS | November 2015 | October 2017 | Allow | 23 | 0 | 0 | Yes | No |
| 14945198 | RECOGNIZING UNKNOWN PERSON INSTANCES IN AN IMAGE GALLERY | November 2015 | May 2018 | Allow | 30 | 1 | 0 | Yes | No |
| 14944576 | VIEWPOINT POSITION CALCULATION DEVICE, IMAGE GENERATION DEVICE, AND VIEWPOINT POSITION CALCULATION METHOD | November 2015 | February 2018 | Allow | 27 | 1 | 0 | No | No |
| 14933194 | ASSIGNMENT DEVICE AND METHOD FOR SORTING LUGGAGE PIECES | November 2015 | January 2019 | Abandon | 39 | 4 | 0 | No | No |
| 14933149 | Two Step Mathematical Expression Search | November 2015 | September 2017 | Abandon | 23 | 1 | 0 | Yes | No |
| 14889320 | METHOD AND DEVICE FOR MATCHING SIGNATURES ON THE BASIS OF MOTION SIGNATURE INFORMATION | November 2015 | August 2019 | Allow | 45 | 3 | 0 | No | No |
| 14934016 | HARDWARE-EFFICIENT DEEP CONVOLUTIONAL NEURAL NETWORKS | November 2015 | September 2017 | Allow | 22 | 1 | 0 | Yes | No |
| 14887079 | SYSTEM AND METHOD FOR PROCESSING RECEIPTS AND OTHER RECORDS OF USERS | October 2015 | September 2018 | Allow | 35 | 1 | 0 | No | No |
| 14886422 | METHOD AND DEVICE FOR DETERMINING A THREE-DIMENSIONAL DISTORTION | October 2015 | January 2019 | Allow | 39 | 4 | 0 | No | No |
| 14884963 | OBJECT-CENTRIC FINE-GRAINED IMAGE CLASSIFICATION | October 2015 | March 2017 | Allow | 17 | 1 | 0 | Yes | No |
| 14885859 | Finding Patterns in a Design Based on the Patterns and Their Surroundings | October 2015 | May 2018 | Allow | 31 | 1 | 0 | No | No |
| 14885397 | VIRTUAL CLOTHING MATCH APP AND IMAGE RECOGNITION COMPUTING DEVICE ASSOCIATED THEREWITH | October 2015 | August 2018 | Allow | 34 | 4 | 0 | Yes | No |
| 14885452 | Systems and Methods for Automatically Classifying Businesses from Images | October 2015 | September 2017 | Abandon | 23 | 1 | 0 | No | No |
| 14832328 | Image Depth Inference from Semantic Labels | August 2015 | February 2019 | Allow | 42 | 1 | 0 | Yes | No |
| 14762847 | SEMICONDUCTOR FINGERPRINT IDENTIFICATION SENSOR AND MANUFACTURING METHOD THEREOF | July 2015 | December 2018 | Allow | 41 | 2 | 0 | No | No |
| 14763133 | IMAGE RESOLUTION RECOGNITION DEVICE, METHOD FOR RECOGNIZING IMAGE RESOLUTION AND IMAGE RESOLUTION RECOGNITION PROGRAM | July 2015 | June 2017 | Allow | 23 | 0 | 0 | No | No |
| 14806957 | APPARATUS AND METHOD OF COLLATING CATEGORIES OF IMAGES | July 2015 | June 2017 | Allow | 23 | 1 | 0 | Yes | No |
| 14807853 | FOREGROUND MOTION DETECTION IN COMPRESSED VIDEO DATA | July 2015 | March 2017 | Allow | 20 | 1 | 0 | Yes | No |
| 14804179 | Image Scene Recognition | July 2015 | March 2017 | Abandon | 20 | 1 | 0 | No | No |
| 14753047 | EDGE AND VERTEX BASED SEGMENTING OF A THREE DIMENSIONAL SURFACE MESH | June 2015 | April 2017 | Allow | 21 | 0 | 0 | Yes | No |
| 14750855 | IMAGE MATCH FOR FEATURELESS OBJECTS | June 2015 | March 2016 | Allow | 9 | 0 | 0 | Yes | No |
| 14750810 | Using Linear Functions to Calculate Depth Information for Scenes Illuminated with Structured Light | June 2015 | November 2015 | Allow | 4 | 0 | 0 | No | No |
| 14748480 | ULTRASONIC FINGERPRINT AUTHENTICATION BASED ON BEAM FORMING | June 2015 | April 2016 | Allow | 10 | 0 | 0 | No | No |
| 14745403 | Systems, Methods, And Devices For Image Matching And Object Recognition In Images Using Textures | June 2015 | January 2018 | Abandon | 31 | 3 | 0 | No | No |
| 14745422 | Systems, Methods, and Devices for Image Matching and Object Recognition in Images Using Image Regions | June 2015 | July 2016 | Allow | 13 | 1 | 0 | Yes | No |
| 14745397 | SYSTEMS, METHODS, AND DEVICES FOR IMAGE MATCHING AND OBJECT RECOGNITION IN IMAGES USING MINIMAL FEATURE POINTS | June 2015 | February 2016 | Allow | 8 | 1 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner RICE, ELISA M.
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, 0.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the bottom 25% across the USPTO, indicating that filing appeals is less effective here than in most other areas.
⚠ Appeals to PTAB face challenges. Ensure your case has strong merit before committing to full Board review.
⚠ Filing a Notice of Appeal shows limited benefit. Consider other strategies like interviews or amendments before appealing.
Examiner RICE, ELISA M works in Art Unit 2669 and has examined 208 patent applications in our dataset. With an allowance rate of 80.8%, this examiner has an above-average tendency to allow applications. Applications typically reach final disposition in approximately 33 months.
Examiner RICE, ELISA M's allowance rate of 80.8% places them in the 53% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.
On average, applications examined by RICE, ELISA M receive 1.55 office actions before reaching final disposition. This places the examiner in the 26% percentile for office actions issued. This examiner issues fewer office actions than average, which may indicate efficient prosecution or a more lenient examination style.
The median time to disposition (half-life) for applications examined by RICE, ELISA M is 33 months. This places the examiner in the 48% percentile for prosecution speed. Prosecution timelines are slightly slower than average with this examiner.
Conducting an examiner interview provides a +18.5% benefit to allowance rate for applications examined by RICE, ELISA M. This interview benefit is in the 60% percentile among all examiners. Recommendation: Interviews provide an above-average benefit with this examiner and are worth considering.
When applicants file an RCE with this examiner, 31.1% of applications are subsequently allowed. This success rate is in the 65% 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 22.2% of cases where such amendments are filed. This entry rate is in the 30% 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, 0.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 12% percentile among all examiners. Note: Pre-appeal conferences show limited success with this examiner compared to others. While still worth considering, be prepared to proceed with a full appeal brief if the PAC does not result in favorable action.
This examiner withdraws rejections or reopens prosecution in 50.0% of appeals filed. This is in the 18% percentile among all examiners. Of these withdrawals, 100.0% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner rarely withdraws rejections during the appeal process compared to other examiners. If you file an appeal, be prepared to fully prosecute it to a PTAB decision. Per MPEP § 1207, the examiner will prepare an Examiner's Answer maintaining the rejections.
When applicants file petitions regarding this examiner's actions, 81.8% are granted (fully or in part). This grant rate is in the 85% percentile among all examiners. Strategic Note: Petitions are frequently granted regarding this examiner's actions compared to other examiners. Per MPEP § 1002.02(c), various examiner actions are petitionable to the Technology Center Director, including prematureness of final rejection, refusal to enter amendments, and requirement for information. If you believe an examiner action is improper, consider filing a petition.
Examiner's Amendments: This examiner makes examiner's amendments in 5.8% of allowed cases (in the 88% 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 29% percentile). This examiner issues Quayle actions less often than average. Allowances may 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.