State of US Data Privacy Law Compliance Survey Report
Learn key US data regarding how companies approach the challenge of adapting to and complying with the evolving privacy landscape, in this survey report by Womble Bond Dickinson.
Learn key US data regarding how companies approach the challenge of adapting to and complying with the evolving privacy landscape, in this survey report by Womble Bond Dickinson.
Womble Bond Dickinson’s second annual analyzes the fast-evolving global data privacy law landscape and, for the first time, includes over 200 respondents from both the US and UK.
Some topics include the growing use of biometric data and artificial intelligence (AI), differences between operating in the US, the UK, Europe and more.
Key survey insights on legal transformation initiatives with respect to litigation and internal investigations.
Check out ACC's selection of curated insights, samples and events in the ACC Privacy and Cybersecurity Resource Center
This survey report provides key insights on the use of legal technology and its perceived effectiveness and limitations based on responses from 252 in-house counsel and legal operations professionals.
This ACC guide, sponsored by Kilpatrick Townsend & Stockton LLP, provides an overview of some of the protection frameworks for data and software.
This research report discusses ways companies can optimize contract lifecycle management technology.
The rapid spread of Artificial Intelligence (AI) systems in recent years has overlapped with the enactment of comprehensive privacy laws by U.S. states. Several of the comprehensive state privacy laws have provisions that specifically address certain uses of AI systems, in particular use in profiling.
This article surveys those provisions and assumes the reader is already familiar with basic concepts in the comprehensive privacy laws, such as controllership and applicability thresholds.
This Privacy Capability Maturity Model provides a detailed maturity model for all aspects of an organization’s privacy program, including its use of Artificial Intelligence (AI) and Machine Learning (ML) using personal information.
It seeks to gauge program capability across a variety of program elements, taking a “big picture” view on an organization’s readiness to comply with these requirements.
The ACC Records Management Program Maturity model provides a detailed maturity model for all aspects of an organization’s records program.
It seeks to gauge program effectiveness across a variety of program elements, taking a “big picture” view to increase program value.
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