Moses & Singer’s Data Law practice is a 360°, interdisciplinary practice focusing on data as a corporate asset.

Data issues are multidimensional, involving different types of data subject to diverse areas of law.  To address our clients’ needs in this area, the firm’s data practice integrates our premier privacy, data protection, IP, and technology practices with our leading corporate, advertising, healthcare and other practices.  As a result, the firm can provide broad-gauge legal services to protect clients against evolving legal and business risks and assist them in leveraging data assets, developing digital business strategies and improving operations, as new technology and analytics platforms create new business opportunities. We assist clients with minimizing the risks and the practical steps to take when monetizing data assets.  

We understand that when companies embark on data projects, they are committing a substantial investment of time, people and resources.  We also understand that different stakeholders have different expectations and that data projects are often subject to intense executive attention.  We work closely with clients and their law departments to achieve success in this business environment.  

Our data law services include:

  • Drafting corporate data policies
  • Combined data and IT business transformation and other projects
  • Data issues in M&A and corporate transactions
  • Commercialization of data assets
  • Internal use of data assets
  • Data services agreements
  • Data Processing Agreements and Information Security Policies
  • IP and data ownership and licensing
  • HIPAA and digital healthcare
  • Machine-generated data, personal and non-personal data, private and public data, regulated and unregulated data, first- and third-party data, and structured and unstructured data  
  • AI, Machine Learning, and Natural Language Processing
  • Implementing SOLID (a Web 3.0 protocol for controlling data use), Data Fabrics and other new technologies
  • Data from Alexa, Siri, and other virtual assistants
  • Collaborating with clients’ Chief Data and Chief Analytics Officers and data professionals in data management, data governance, data architecture, data modeling and data integrity, including building in regulatory compliance rather than retrofitting it  

For more information please contact us.

Prior results do not guarantee a similar outcome.

Overview

Moses & Singer’s Data Law practice is a 360°, interdisciplinary practice focusing on data as a corporate asset.

Data issues are multidimensional, involving different types of data subject to diverse areas of law.  To address our clients’ needs in this area, the firm’s data practice integrates our premier privacy, data protection, IP, and technology practices with our leading corporate, advertising, healthcare and other practices.  As a result, the firm can provide broad-gauge legal services to protect clients against evolving legal and business risks and assist them in leveraging data assets, developing digital business strategies and improving operations, as new technology and analytics platforms create new business opportunities. We assist clients with minimizing the risks and the practical steps to take when monetizing data assets.  

We understand that when companies embark on data projects, they are committing a substantial investment of time, people and resources.  We also understand that different stakeholders have different expectations and that data projects are often subject to intense executive attention.  We work closely with clients and their law departments to achieve success in this business environment.  

Our data law services include:

  • Drafting corporate data policies
  • Combined data and IT business transformation and other projects
  • Data issues in M&A and corporate transactions
  • Commercialization of data assets
  • Internal use of data assets
  • Data services agreements
  • Data Processing Agreements and Information Security Policies
  • IP and data ownership and licensing
  • HIPAA and digital healthcare
  • Machine-generated data, personal and non-personal data, private and public data, regulated and unregulated data, first- and third-party data, and structured and unstructured data  
  • AI, Machine Learning, and Natural Language Processing
  • Implementing SOLID (a Web 3.0 protocol for controlling data use), Data Fabrics and other new technologies
  • Data from Alexa, Siri, and other virtual assistants
  • Collaborating with clients’ Chief Data and Chief Analytics Officers and data professionals in data management, data governance, data architecture, data modeling and data integrity, including building in regulatory compliance rather than retrofitting it  

For more information please contact us.

Prior results do not guarantee a similar outcome.