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PatentCliff

Leidos Patent Portfolio

25 US patents · Average 28 claims per patent

D
Patent Strength
39/100
25
Total Patents
28
Avg Claims
0
Expiring in 2 Years
2
Expiring in 5 Years

Technology Focus Areas

TelecommunicationsH04
25 patents
Computing & Data ProcessingG06
25 patents

Patent Details

Patent #TitleGrantedExpiresClaimsStatus
10004527System for advanced signal transmission in lidar networksOct 26, 2023Mar 12, 20391112.9y left
10004528Apparatus for distributed computational operations in digital environmentsFeb 12, 2014Mar 14, 2032235.9y left
10004529Computer-implemented method for dynamic RF optimizationMay 28, 2024Nov 2, 20404014.6y left
10004530Apparatus for efficient data encoding in RF systemsJul 5, 2025Mar 7, 20423715.9y left
10004531Method for dynamic channel estimation in analog communicationsJul 3, 2026Feb 27, 20441217.9y left
10004532Method for optimized channel estimation in photonic communicationsDec 4, 2014Apr 11, 2031435.0y left
10004533System for adaptive neural network processing with lidarAug 20, 2021Dec 4, 20384912.7y left
10004534Method for dynamic machine learning inference using 5GDec 19, 2020Sep 8, 20371911.4y left
10004535System for improved neural network processing with blockchainFeb 23, 2018May 14, 2035149.1y left
10004536System for integrated signal transmission in neural networksAug 10, 2024Apr 12, 20422416.0y left
10004537System and method for enhanced data processing using edgeAug 22, 2016Jul 2, 2034318.2y left
10004538System for efficient signal transmission in cloud networksApr 24, 2023Jun 3, 20393713.2y left
10004539System for efficient neural network processing with CMOSMay 7, 2016Oct 22, 2034298.5y left
10004540Apparatus for advanced data encoding in blockchain systemsOct 6, 2007Feb 28, 20237Expired
10004541System for integrated neural network processing with MEMSMay 20, 2027Mar 25, 20432617.0y left
10004542Computer-implemented method for distributed AI-driven optimizationDec 7, 2027Dec 6, 20443418.7y left
10004543System and method for efficient data processing using AI-drivenDec 1, 2014Jun 28, 2031445.2y left
10004544System for optimized neural network processing with 5GNov 1, 2023Jul 13, 20412015.3y left
10004545System for configurable signal transmission in neural networksJul 20, 2027Apr 23, 20443818.0y left
10004546System and method for optimized data processing using edgeSep 9, 2019Nov 4, 20364710.6y left
10004547Apparatus for distributed data encoding in edge systemsMar 2, 2019Mar 1, 2035178.9y left
10004548Apparatus for dynamic computational operations in photonic environmentsJan 26, 2012Jul 6, 2028252.2y left
10004549Apparatus for low-latency data encoding in blockchain systemsJan 25, 2023Jul 18, 20412515.3y left
10004550Method for advanced channel estimation in nano-scale communicationsOct 23, 2013Dec 13, 2029313.7y left
10004551Apparatus for multi-layer data encoding in lidar systemsApr 4, 2007May 22, 202424Expired

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Frequently Asked Questions

Leidos holds 25 US patents with an average of 28 claims per patent. The portfolio has a Patent Strength Score of 39/100 (Grade D).

Leidos has 0 patents expiring within 2 years and 2 patents expiring within 5 years. The portfolio has a healthy time horizon.

Leidos's key technology focus areas include Telecommunications, Computing & Data Processing. The portfolio spans 2 distinct technology classifications (CPC codes).

The Patent Strength Score (0-100, A-F) benchmarks a company's patent portfolio quality based on portfolio size (30%), claims breadth (25%), time remaining to expiration (25%), and portfolio diversity across technology areas (20%).

Last updated:

Patent Strength Score is based on portfolio size, claims breadth, time to expiration, and technology diversity using CPC classifications.

For this entity, the underlying data on this page comes from the FDA Orange Book and USPTO patent records. The breakdown above is the federal record; the paragraphs below add the per-entity context that makes the headline numbers usable for a real decision rather than just a data lookup.

Every number on this page links back to the FDA Orange Book and USPTO patent records; the methodology page describes the inputs, refresh cadence, and known limitations of the underlying data product.

Practical use of this page is in combination with the comparison and ranking pages elsewhere on the site, which surface the same data for this entity’s peers within U.S. brand-name drugs. A single-entity reading without peer context can be misleading when an entity is an outlier on one axis but typical on another.

Source: USPTO patent search, 2026.