Videos

From Legal versus Engineering to Legal with Engineering - How to Bring Them Together To Solve for Privacy

Historically, privacy and engineering teams have struggled to effectively work together. Some have even said “engineering is from Mars, privacy is from Venus”. One of the primary reasons for these challenges is the workflows for each of these teams can dramatically vary.

Sep 22, 2022

Historically, privacy and engineering teams have struggled to effectively work together. Some have even said “engineering is from Mars, privacy is from Venus”. One of the primary reasons for these challenges is the workflows for each of these teams can dramatically vary.

Join Relyance AI’s co-founders, Leila and Abhi, and the Relyance Privacy Series for an exclusive fireside chat on how privacy, legal, and engineering teams can seamlessly work together to manage privacy, governance, and compliance operations through the use of advanced machine learning technology. Learn how Relyance AI is flipping today’s approach to privacy and data protection on its head by embedding within engineering workflows, leveraging machine learning to create true privacy, data governance, and legal operations automation. Also see a live demo of the platform and how the technology works.

You’ll learn:

  • How the increase in privacy laws has strained the relationship between legal and engineering;
  • How machine learning can detect personal and sensitive data without surveys and spreadsheets, improving the relationship between engineering and privacy teams; and
  • How Relyance AI combines observability, code integration, and policy integration to automate previously manual privacy operations tasks.

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The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

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headig 5

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How to customize formatting for each rich text

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Videos

From Legal versus Engineering to Legal with Engineering - How to Bring Them Together To Solve for Privacy

Historically, privacy and engineering teams have struggled to effectively work together. Some have even said “engineering is from Mars, privacy is from Venus”. One of the primary reasons for these challenges is the workflows for each of these teams can dramatically vary.

Sep 22, 2022

Historically, privacy and engineering teams have struggled to effectively work together. Some have even said “engineering is from Mars, privacy is from Venus”. One of the primary reasons for these challenges is the workflows for each of these teams can dramatically vary.

Join Relyance AI’s co-founders, Leila and Abhi, and the Relyance Privacy Series for an exclusive fireside chat on how privacy, legal, and engineering teams can seamlessly work together to manage privacy, governance, and compliance operations through the use of advanced machine learning technology. Learn how Relyance AI is flipping today’s approach to privacy and data protection on its head by embedding within engineering workflows, leveraging machine learning to create true privacy, data governance, and legal operations automation. Also see a live demo of the platform and how the technology works.

You’ll learn:

  • How the increase in privacy laws has strained the relationship between legal and engineering;
  • How machine learning can detect personal and sensitive data without surveys and spreadsheets, improving the relationship between engineering and privacy teams; and
  • How Relyance AI combines observability, code integration, and policy integration to automate previously manual privacy operations tasks.

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Title

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

From Legal versus Engineering to Legal with Engineering - How to Bring Them Together To Solve for Privacy

Historically, privacy and engineering teams have struggled to effectively work together. Some have even said “engineering is from Mars, privacy is from Venus”. One of the primary reasons for these challenges is the workflows for each of these teams can dramatically vary.

Join Relyance AI’s co-founders, Leila and Abhi, and the Relyance Privacy Series for an exclusive fireside chat on how privacy, legal, and engineering teams can seamlessly work together to manage privacy, governance, and compliance operations through the use of advanced machine learning technology. Learn how Relyance AI is flipping today’s approach to privacy and data protection on its head by embedding within engineering workflows, leveraging machine learning to create true privacy, data governance, and legal operations automation. Also see a live demo of the platform and how the technology works.

You’ll learn:

  • How the increase in privacy laws has strained the relationship between legal and engineering;
  • How machine learning can detect personal and sensitive data without surveys and spreadsheets, improving the relationship between engineering and privacy teams; and
  • How Relyance AI combines observability, code integration, and policy integration to automate previously manual privacy operations tasks.
Videos

From Legal versus Engineering to Legal with Engineering - How to Bring Them Together To Solve for Privacy

Historically, privacy and engineering teams have struggled to effectively work together. Some have even said “engineering is from Mars, privacy is from Venus”. One of the primary reasons for these challenges is the workflows for each of these teams can dramatically vary.

Aug 20, 2022

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From Legal versus Engineering to Legal with Engineering - How to Bring Them Together To Solve for Privacy

From Legal versus Engineering to Legal with Engineering - How to Bring Them Together To Solve for Privacy

Historically, privacy and engineering teams have struggled to effectively work together. Some have even said “engineering is from Mars, privacy is from Venus”. One of the primary reasons for these challenges is the workflows for each of these teams can dramatically vary.

Join Relyance AI’s co-founders, Leila and Abhi, and the Relyance Privacy Series for an exclusive fireside chat on how privacy, legal, and engineering teams can seamlessly work together to manage privacy, governance, and compliance operations through the use of advanced machine learning technology. Learn how Relyance AI is flipping today’s approach to privacy and data protection on its head by embedding within engineering workflows, leveraging machine learning to create true privacy, data governance, and legal operations automation. Also see a live demo of the platform and how the technology works.

You’ll learn:

  • How the increase in privacy laws has strained the relationship between legal and engineering;
  • How machine learning can detect personal and sensitive data without surveys and spreadsheets, improving the relationship between engineering and privacy teams; and
  • How Relyance AI combines observability, code integration, and policy integration to automate previously manual privacy operations tasks.
Videos

From Legal versus Engineering to Legal with Engineering - How to Bring Them Together To Solve for Privacy

Historically, privacy and engineering teams have struggled to effectively work together. Some have even said “engineering is from Mars, privacy is from Venus”. One of the primary reasons for these challenges is the workflows for each of these teams can dramatically vary.

Aug 20, 2022

Watch the video

Required field*