Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 19005765 | CALCULATOR CAPABLE OF OUTPUTTING RESULTS BASED ON HANDWRITTEN FORMULAS | December 2024 | April 2025 | Allow | 4 | 1 | 0 | No | No |
| 18892280 | PROCESSING DEVICE USING DYNAMIC BIT SHIFT | September 2024 | December 2024 | Allow | 3 | 0 | 0 | Yes | No |
| 18892274 | PROCESSING DEVICE USING HETEROGENEOUS FORMAT INPUT | September 2024 | March 2025 | Allow | 6 | 1 | 0 | No | No |
| 18833896 | DYNAMIC MAXIMAL CLIQUE ENUMERATION DEVICE AND METHOD BASED ON FPGA WITH HBM | July 2024 | March 2025 | Allow | 8 | 0 | 0 | Yes | No |
| 18746561 | PROCESSING CORE WITH DATA ASSOCIATIVE ADAPTIVE ROUNDING | June 2024 | April 2025 | Allow | 10 | 1 | 0 | No | No |
| 18587519 | SYSTEMS AND METHODS EMPLOYING UNIQUE DEVICE FOR GENERATING RANDOM SIGNALS AND METERING AND ADDRESSING, E.G., UNUSUAL DEVIATIONS IN SAID RANDOM SIGNALS | February 2024 | June 2025 | Allow | 16 | 1 | 0 | No | No |
| 18426504 | MECHANISM TO PERFORM SINGLE PRECISION FLOATING POINT EXTENDED MATH OPERATIONS | January 2024 | April 2025 | Abandon | 14 | 2 | 0 | No | No |
| 18408296 | MULTIPLY ACCUMULATE (MAC) UNIT WITH SPLIT ACCUMULATOR | January 2024 | March 2024 | Allow | 3 | 0 | 0 | Yes | No |
| 18401571 | RECONFIGURABLE ARITHMETIC ENGINE CIRCUIT | December 2023 | August 2024 | Allow | 8 | 0 | 0 | Yes | No |
| 18528086 | RESISTIVE AND DIGITAL PROCESSING CORES | December 2023 | October 2024 | Allow | 10 | 0 | 0 | No | No |
| 18523615 | SYSTEMS AND METHODS FOR PERFORMING MATRIX MULTIPLICATION WITH A PLURALITY OF PROCESSING ELEMENTS | November 2023 | March 2024 | Allow | 4 | 0 | 0 | Yes | No |
| 18492016 | METHODS FOR MULTIPLYING MATRICES USING A PLURALITY OF CHIPLETS | October 2023 | January 2024 | Allow | 3 | 0 | 0 | No | No |
| 18372737 | Look Ahead Normaliser | September 2023 | September 2024 | Allow | 11 | 1 | 0 | No | No |
| 18474129 | FINE-GRAINED SPARSITY COMPUTATIONS IN SYSTOLIC ARRAY | September 2023 | August 2024 | Allow | 11 | 1 | 0 | No | No |
| 18242603 | A Multiplier Circuit | September 2023 | August 2024 | Allow | 11 | 1 | 0 | No | No |
| 18241977 | METHOD AND APPARATUS FOR USE IN THE DESIGN AND MANUFACTURE OF INTEGRATED CIRCUITS | September 2023 | August 2024 | Allow | 11 | 1 | 0 | No | No |
| 18227835 | COMPUTATIONAL MEMORY FOR SORTING MULTIPLE DATA STREAMS IN PARALLEL | July 2023 | May 2024 | Abandon | 9 | 1 | 0 | No | No |
| 18356634 | EVALUATING QUANTUM COMPUTING CIRCUITS IN VIEW OF THE RESOURCE COSTS OF A QUANTUM ALGORITHM | July 2023 | July 2024 | Allow | 12 | 1 | 0 | Yes | No |
| 18216926 | MIRRORING MATRICES FOR BATCHED CHOLESKY DECOMPOSITION ON A GRAPHIC PROCESSING UNIT | June 2023 | May 2024 | Allow | 10 | 1 | 0 | Yes | No |
| 18336813 | ASCII-SEEDED RANDOM NUMBER GENERATOR | June 2023 | February 2025 | Allow | 20 | 2 | 0 | Yes | No |
| 18335274 | OPTIMIZATION PROBLEM SOLVING CALCULATION APPARATUS | June 2023 | April 2024 | Allow | 10 | 1 | 0 | Yes | No |
| 18324335 | Composing Arbitrary Convolutional Neural Network Models from a Fixed Set of Duplicate Pipelined Components | May 2023 | August 2023 | Allow | 3 | 0 | 0 | Yes | No |
| 18132962 | PROCESSING CORE WITH DATA ASSOCIATIVE ADAPTIVE ROUNDING | April 2023 | March 2024 | Allow | 11 | 1 | 0 | Yes | No |
| 18125190 | Multiple Mode Arithmetic Circuit | March 2023 | February 2024 | Allow | 10 | 1 | 0 | No | No |
| 18111468 | LOW LATENCY MATRIX MULTIPLY UNIT | February 2023 | October 2023 | Allow | 8 | 1 | 0 | Yes | No |
| 18083012 | BIT MATRIX MULTIPLICATION | December 2022 | March 2024 | Allow | 15 | 1 | 0 | No | No |
| 17987020 | METHOD AND APPARATUS FOR IMPLIED BIT HANDLING IN FLOATING POINT MULTIPLICATION | November 2022 | March 2024 | Allow | 16 | 2 | 0 | Yes | No |
| 18045577 | Execution Circuitry for Floating-Point Power Operation | October 2022 | June 2024 | Allow | 20 | 1 | 0 | Yes | No |
| 17891389 | Predicting Compression Ratio of Data with Compressible Decision | August 2022 | November 2023 | Allow | 15 | 2 | 0 | Yes | No |
| 17875747 | Look Ahead Normaliser | July 2022 | May 2023 | Allow | 9 | 0 | 0 | Yes | No |
| 17874454 | COMPUTATIONAL MEMORY FOR SORTING MULTIPLE DATA STREAMS IN PARALLEL | July 2022 | May 2024 | Allow | 22 | 1 | 0 | Yes | No |
| 17873862 | SPLIT AND DUPLICATE RIPPLE CIRCUITS | July 2022 | March 2023 | Allow | 8 | 0 | 0 | Yes | No |
| 17839905 | METHOD AND APPARATUS FOR EFFICIENT BINARY AND TERNARY SUPPORT IN FUSED MULTIPLY-ADD (FMA) CIRCUITS | June 2022 | July 2023 | Allow | 13 | 1 | 0 | Yes | No |
| 17825103 | ASCII-SEEDED RANDOM NUMBER GENERATOR | May 2022 | February 2023 | Allow | 8 | 0 | 0 | Yes | No |
| 17742581 | OPTIMIZED COMPUTE HARDWARE FOR MACHINE LEARNING OPERATIONS | May 2022 | February 2025 | Allow | 33 | 1 | 0 | No | No |
| 17742245 | Synthetic Scaling Applied to Shared Neural Networks | May 2022 | April 2023 | Allow | 11 | 1 | 0 | Yes | No |
| 17660688 | Execution Unit for Evaluating Functions Using Newton Raphson Iterations | April 2022 | August 2023 | Allow | 15 | 0 | 0 | Yes | No |
| 17724253 | MULTIPLICATION AND ACCUMULATION (MAC) OPERATOR | April 2022 | November 2023 | Allow | 19 | 2 | 0 | Yes | No |
| 17702244 | CLASSICALLY-BOOSTED QUANTUM OPTIMIZATION | March 2022 | February 2023 | Allow | 11 | 0 | 0 | Yes | No |
| 17687631 | Method and apparatus for true random number generator based on nuclear radiation | March 2022 | June 2025 | Allow | 39 | 1 | 0 | Yes | No |
| 17682167 | METHOD AND ARCHITECTURE FOR SERIAL LINK CHARACTERIZATION BY ARBITRARY SIZE PATTERN GENERATOR | February 2022 | June 2025 | Allow | 39 | 0 | 0 | Yes | No |
| 17673932 | SEMICONDUCTOR DEVICE INCLUDING MULTIPLIER CIRCUIT | February 2022 | April 2023 | Allow | 14 | 1 | 0 | No | No |
| 17651422 | MEMORY ARRAY STRUCTURE WITH DYNAMIC DIFFERENTIAL-REFERENCE BASED READOUT SCHEME FOR COMPUTING-IN-MEMORY APPLICATIONS, DYNAMIC DIFFERENTIAL-REFERENCE TIME-TO-DIGITAL CONVERTER FOR COMPUTING-IN-MEMORY APPLICATIONS AND COMPUTING METHOD THEREOF | February 2022 | June 2025 | Allow | 40 | 0 | 0 | Yes | No |
| 17569801 | Multiple Mode Arithmetic Circuit | January 2022 | January 2023 | Allow | 12 | 0 | 0 | Yes | No |
| 17520290 | Sparse Matrix Multiplier in Hardware and a Reconfigurable Data Processor Including Same | November 2021 | April 2022 | Allow | 6 | 1 | 0 | Yes | No |
| 17513974 | FUSED MODULAR MULTIPLY AND ADD OPERATION | October 2021 | March 2025 | Allow | 41 | 0 | 0 | No | No |
| 17484845 | INTEGRATED CIRCUITS WITH MACHINE LEARNING EXTENSIONS | September 2021 | April 2024 | Allow | 30 | 1 | 0 | No | No |
| 17482995 | SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR DENSE/SPARSE LINEAR SYSTEM SOLVER ACCELERATOR | September 2021 | September 2024 | Abandon | 35 | 5 | 0 | Yes | No |
| 17480180 | REPURPOSED HEXADECIMAL FLOATING POINT DATA PATH | September 2021 | November 2023 | Allow | 26 | 2 | 0 | Yes | No |
| 17439992 | MULTIPLY-ACCUMULATE CALCULATION DEVICE, LOGICAL CALCULATION DEVICE, NEUROMORPHIC DEVICE, AND MULTIPLY-ACCUMULATE CALCULATION METHOD | September 2021 | May 2025 | Abandon | 44 | 1 | 0 | No | No |
| 17434099 | DYNAMIC BIAS ANALOG VECTOR-MATRIX MULTIPLICATION OPERATION CIRCUIT AND OPERATION CONTROL METHOD THEREFOR | August 2021 | July 2024 | Allow | 35 | 1 | 0 | No | No |
| 17407540 | PROCESSING-IN-MEMORY (PIM) DEVICES AND METHODS OF TESTING THE PIM DEVICES | August 2021 | February 2023 | Allow | 18 | 1 | 0 | No | No |
| 17401201 | SEMICONDUCTOR DEVICE CAPABLE OF PERFORMING IN-MEMORY PROCESSING | August 2021 | March 2025 | Allow | 43 | 1 | 0 | No | No |
| 17400937 | Combinatorial Logic Circuits With Feedback | August 2021 | February 2024 | Allow | 30 | 1 | 1 | No | No |
| 17399071 | Filter and Method with Multiplication Operation Approximation Capability | August 2021 | May 2022 | Allow | 9 | 1 | 0 | Yes | No |
| 17393492 | HIGH THROUGHPUT LINEAR FEEDBACK SHIFT REGISTER | August 2021 | June 2025 | Allow | 47 | 1 | 0 | No | No |
| 17389128 | PERIPHERAL TOOLDUAL/QUAD-FRACTURABLE DIGITAL SIGNAL PROCESSING BLOCK FOR PROGRAMMABLE GATE ARCHITECTURES | July 2021 | July 2024 | Allow | 36 | 1 | 0 | Yes | No |
| 17384001 | TININESS DETECTION | July 2021 | August 2024 | Allow | 36 | 1 | 1 | No | No |
| 17379089 | INTERLEAVED CIC FILTER | July 2021 | December 2024 | Allow | 41 | 1 | 0 | No | No |
| 17377743 | Multiplier and Adder in Systolic Array | July 2021 | September 2024 | Allow | 38 | 3 | 0 | Yes | No |
| 17363872 | OPTIMIZATION PROBLEM SOLVING CALCULATION APPARATUS | June 2021 | March 2023 | Allow | 20 | 1 | 0 | No | No |
| 17358812 | INTEGRATED CIRCUIT FOR CONSTANT MULTIPLICATION AND DEVICE INCLUDING THE SAME | June 2021 | December 2024 | Allow | 42 | 3 | 0 | Yes | No |
| 17356743 | LOW-LOSS ARITHMETIC CIRCUIT AND OPERATING METHOD OF THE SAME | June 2021 | September 2023 | Allow | 27 | 1 | 0 | No | No |
| 17351250 | PREPARATION AND EXECUTION OF QUANTIZED SCALING ON INTEGRATED CIRCUITRY | June 2021 | September 2021 | Allow | 3 | 0 | 0 | Yes | No |
| 17335928 | Projection-Based Techniques For Updating Singular Value Decomposition In Evolving Data Sets | June 2021 | August 2024 | Allow | 38 | 2 | 0 | Yes | No |
| 17334899 | Chopper Stabilized Bias Unit Element with Binary Weighted Charge Transfer Capacitors | May 2021 | November 2022 | Allow | 17 | 0 | 0 | No | No |
| 17298291 | SPARSE MATRIX STANDARDIZATION DEVICE, SPARSE MATRIX STANDARDIZATION METHOD, SPARSE MATRIX STANDARDIZATION PROGRAM, AND DATA STRUCTURE | May 2021 | January 2025 | Allow | 44 | 1 | 0 | Yes | No |
| 17332540 | Method for Pulse-Based Convolution for Near-Sensor Processing | May 2021 | January 2025 | Allow | 44 | 1 | 0 | No | No |
| 17331426 | PROCESSING-IN-MEMORY DEVICES HAVING MULTIPLICATION-AND-ACCUMULATION CIRCUITS | May 2021 | October 2024 | Allow | 40 | 2 | 1 | Yes | No |
| 17296716 | Inverse Matrix Calculation Device and Inverse Matrix Calculation Processing Method | May 2021 | December 2024 | Allow | 43 | 1 | 0 | Yes | No |
| 17321925 | PROCESSING CORE WITH DATA ASSOCIATIVE ADAPTIVE ROUNDING | May 2021 | March 2023 | Allow | 22 | 1 | 0 | No | No |
| 17319717 | MULTIPLICATION-AND-ACCUMULATION CIRCUITS AND PROCESSING-IN-MEMORY DEVICES HAVING THE SAME | May 2021 | December 2024 | Allow | 43 | 2 | 1 | Yes | No |
| 17317844 | Memory Bit Cell for In-Memory Computation | May 2021 | February 2025 | Allow | 45 | 0 | 0 | No | No |
| 17317349 | RANDOM NUMBER GENERATOR CIRCUIT | May 2021 | July 2024 | Allow | 38 | 1 | 0 | No | No |
| 17315710 | SYSTEM, METHOD, AND RECORDING MEDIUM FOR MIRRORING MATRICES FOR BATCHED CHOLESKY DECOMPOSITION ON A GRAPHIC PROCESSING UNIT | May 2021 | June 2023 | Allow | 25 | 5 | 0 | Yes | No |
| 17313224 | DYNAMIC ADJUSTMENT OF FLOATING POINT EXPONENT BIAS FOR EXPONENT COMPRESSION | May 2021 | December 2024 | Allow | 44 | 0 | 0 | Yes | No |
| 17241517 | NON-LINEAR FEEDBACK SHIFT REGISTER | April 2021 | November 2022 | Allow | 18 | 0 | 0 | Yes | No |
| 17237989 | SYSTEM AND METHOD FOR AN OPTIMIZED WINOGRAD CONVOLUTION ACCELERATOR | April 2021 | March 2025 | Abandon | 47 | 6 | 0 | Yes | No |
| 17232075 | METHOD FOR COMBINING ANALOG NEURAL NET WITH FPGA ROUTING IN A MONOLITHIC INTEGRATED CIRCUIT | April 2021 | November 2022 | Allow | 19 | 0 | 0 | Yes | No |
| 17224643 | Operation Accelerator, Processing Method, and Related Device | April 2021 | January 2025 | Allow | 46 | 1 | 0 | No | No |
| 17223324 | NEURAL NETWORK DEVICE FOR NEURAL NETWORK OPERATION, METHOD OF OPERATING NEURAL NETWORK DEVICE, AND APPLICATION PROCESSOR INCLUDING NEURAL NETWORK DEVICE | April 2021 | March 2025 | Allow | 47 | 1 | 0 | Yes | No |
| 17282675 | OPTIMAL METASTABILITY-CONTAINING SORTING VIA PARALLEL PREFIX COMPUTATION | April 2021 | May 2023 | Allow | 25 | 1 | 0 | No | No |
| 17216736 | COMPUTER-READABLE RECORDING MEDIUM RECORDING ARITHMETIC PROCESSING PROGRAM, ARITHMETIC PROCESSING METHOD, AND ARITHMETIC PROCESSING DEVICE | March 2021 | August 2024 | Abandon | 41 | 1 | 0 | No | No |
| 17214526 | INTEGRATED CIRCUITS WITH MACHINE LEARNING EXTENSIONS | March 2021 | April 2023 | Allow | 24 | 1 | 0 | No | No |
| 17212474 | NEURAL NETWORK DEVICE FOR NEURAL NETWORK OPERATION, OPERATING METHOD OF THE NEURAL NETWORK DEVICE, AND APPLICATION PROCESSOR INCLUDING THE SAME | March 2021 | April 2024 | Allow | 37 | 3 | 0 | Yes | No |
| 17279096 | SECURE RIGHT SHIFT COMPUTATION SYSTEM, SECURE DIVISION SYSTEM, METHODS THEREFOR, SECURE COMPUTATION APPARATUS, AND PROGRAM | March 2021 | March 2025 | Allow | 48 | 1 | 1 | Yes | No |
| 17210293 | LOW LATENCY MATRIX MULTIPLY UNIT | March 2021 | October 2022 | Allow | 19 | 0 | 0 | Yes | No |
| 17209680 | ACTIVELY STABILIZED RANDOM NUMBER GENERATOR | March 2021 | April 2024 | Allow | 37 | 1 | 0 | Yes | No |
| 17198448 | COMPUTATION SYSTEM WITH A PLURALITY OF COMPARATORS AND A GLOBAL CIRCUIT | March 2021 | August 2024 | Allow | 41 | 1 | 0 | No | No |
| 17197359 | Analog Adders For Multi-bit MAC Arrays In Reconfigurable Analog Based Neural Networks | March 2021 | August 2024 | Allow | 42 | 1 | 0 | No | No |
| 17190417 | ERROR UNBIASED APPROXIMATE MULTIPLIER FOR NORMALIZED FLOATING-POINT NUMBERS AND IMPLEMENTATION METHOD OF ERROR UNBIASED APPROXIMATE MULTIPLIER | March 2021 | May 2022 | Allow | 14 | 2 | 0 | Yes | No |
| 17188951 | MULTIPLICATION AND ACCUMULATION (MAC) OPERATOR | March 2021 | October 2023 | Allow | 31 | 0 | 0 | No | No |
| 17189137 | Look Ahead Normaliser | March 2021 | April 2022 | Allow | 13 | 0 | 0 | Yes | No |
| 17272439 | FUNCTION GENERATION APPARATUS, METHOD FOR GENERATING FUNCTION, AND STORAGE MEDIUM | March 2021 | January 2025 | Allow | 47 | 1 | 0 | No | No |
| 17180856 | Process for a Floating Point Dot Product Multiplier-Accumulator | February 2021 | September 2023 | Allow | 31 | 1 | 0 | Yes | No |
| 17175446 | NEURAL NETWORK SYSTEM WITH MULTIPLICATION AND ACCUMULATION(MAC) OPERATOR | February 2021 | July 2023 | Allow | 29 | 0 | 0 | Yes | No |
| 17175477 | MULTIPLICATION AND ACCUMULATION (MAC) OPERATOR | February 2021 | October 2022 | Allow | 20 | 0 | 0 | Yes | No |
| 17175559 | TRANSPOSING IN A MATRIX-VECTOR PROCESSOR | February 2021 | September 2024 | Allow | 43 | 1 | 0 | Yes | No |
| 17175497 | MULTIPLICATION AND ACCUMULATION (MAC) OPERATOR | February 2021 | October 2022 | Allow | 20 | 0 | 0 | Yes | No |
| 17173203 | FLEXIBLE-ACCESS INSTRUCTIONS FOR EFFICIENT ACCESS OF ML DATA | February 2021 | December 2023 | Allow | 34 | 0 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner SANDIFER, MATTHEW D.
With a 25.0% reversal rate, the PTAB affirms the examiner's rejections in the vast majority of cases. This reversal rate is below the USPTO average, indicating that appeals face more challenges here than typical.
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, 30.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is below the USPTO average, suggesting that filing an appeal has limited effectiveness in prompting favorable reconsideration.
⚠ 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 SANDIFER, MATTHEW D works in Art Unit 2182 and has examined 505 patent applications in our dataset. With an allowance rate of 92.3%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 25 months.
Examiner SANDIFER, MATTHEW D's allowance rate of 92.3% places them in the 78% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by SANDIFER, MATTHEW D receive 1.19 office actions before reaching final disposition. This places the examiner in the 20% percentile for office actions issued. This examiner issues significantly fewer office actions than most examiners.
The median time to disposition (half-life) for applications examined by SANDIFER, MATTHEW D is 25 months. This places the examiner in the 65% percentile for prosecution speed. Prosecution timelines are slightly faster than average with this examiner.
Conducting an examiner interview provides a +11.9% benefit to allowance rate for applications examined by SANDIFER, MATTHEW D. This interview benefit is in the 51% 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, 35.4% of applications are subsequently allowed. This success rate is in the 75% 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 53.9% of cases where such amendments are filed. This entry rate is in the 75% percentile among all examiners. Strategic Recommendation: This examiner is highly receptive to after-final amendments compared to other examiners. Per MPEP § 714.12, after-final amendments may be entered "under justifiable circumstances." Consider filing after-final amendments with a clear showing of allowability rather than immediately filing an RCE, as this examiner frequently enters such amendments.
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 6% 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 66.7% of appeals filed. This is in the 43% percentile among all examiners. Of these withdrawals, 37.5% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). Strategic Insight: This examiner shows below-average willingness to reconsider rejections during appeals. Be prepared to fully prosecute appeals if filed.
When applicants file petitions regarding this examiner's actions, 16.7% are granted (fully or in part). This grant rate is in the 9% percentile among all examiners. Strategic Note: Petitions are rarely granted regarding this examiner's actions compared to other examiners. Ensure you have a strong procedural basis before filing a petition, as the Technology Center Director typically upholds this examiner's decisions.
Examiner's Amendments: This examiner makes examiner's amendments in 1.0% of allowed cases (in the 68% percentile). This examiner makes examiner's amendments more often than average to place applications in condition for allowance (MPEP § 1302.04).
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.9% of allowed cases (in the 55% percentile). This examiner issues Quayle actions more often than average when claims are allowable but formal matters remain (MPEP § 714.14).
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.