Navigating the Maze: eDiscovery Essentials for Employers — Hiring to Firing Podcast
FCPA Compliance Report: AI, Data Compliance, and Ownership - A Conversation with Andrew Hopkins
Compliance into the Weeds: Unsexy Keys to Data Analytics for Compliance Programs
A Blueprint for Efficient SRRs: Mastering Your Subject Rights Workflow
A Less is More Strategy for Data Risk Mitigation
All in the Family: What’s Next for Cloud Attachments in eDiscovery?
Podcast - Bowling with Bumpers: Using a Privacy Framework to Set Your Company Up for a Strike
A Sneak Peek into Data Mapping: What Implementation Really Looks Like
It's Time to Think About Data Mapping Differently
Monumental Win in Data Breach Class Action: A Case Study — The Consumer Finance Podcast
[Webinar] AI and Data Privacy: Minimizing Risk and Maximizing Opportunity
Work This Way: A Labor & Employment Law Podcast | Episode 15: eDiscovery for Employers with Angela O’Neal, Nextra Solutions Director
Calculating eDiscovery Costs: Tips from Brett Burney
Work This Way: A Labor & Employment Law Podcast - Episode 6: Digital Forensics & Protecting Trade Secrets with Clark Walton
Managing Large Scale Review Efficiency: Tips From a GC
Record Retention and Information Governance
The Great Link Debate and the Future of Cloud Collaboration
Data Driven Compliance - Malcolm Hawker and Fit for Purpose Data
Review Analytics for a New Era
Data Governance for the BYOD Age
The 1:10:100 rule—coined in 1992 by George Labovitz and Yu Sang Chang, the rule describes how much bad data costs. Preventing the creation of bad data at its source costs $1. Remediating bad data costs $10. Doing nothing...more
Remediation occurs for a host of reasons. You may identify remediation risk from internal activities (e.g., an audit, a control break) or external activities (e.g., a complaint, a regulatory exam, a lawsuit). Sometimes a...more
Early in the new year, the US Food and Drug Administration (FDA) released two anticipated draft guidance documents focused on artificial intelligence (AI): Artificial Intelligence-Enabled Device Software Functions: Lifecycle...more
On January 7, 2024, the U.S. Food and Drug Administration (FDA) published the draft guidance “Artificial Intelligence-Enabled Device Software Functions: Lifecycle Management and Marketing Submission Recommendations,” which...more
On January 7, 2025, FDA published a draft guidance titled “Artificial Intelligence-Enabled Device Software Functions: Lifecycle Management and Marketing Submission Recommendations.” The draft guidance was long-anticipated; it...more
This is Part 2 of a two-part series. Part 1 addressed the risks and restrictions organizations face in deploying artificial intelligence (AI) and the key elements of an AI strategy. This part details how to develop an AI...more
The five-member Board of the California Privacy Protection Agency (the “CPPA”) held a public meeting on September 8, 2023, to discuss a range of topics, most notably, draft regulations relating to risk assessments and...more
On August 29, 2023, the California Privacy Protection Agency (“CPPA”) released a set of draft regulations on cybersecurity audits and risk assessments. For those who recall the multiple rounds of the CPPA’s draft CCPA...more
Effective as of January 1, 2020, the California Consumer Privacy Act (CCPA) gives broad rights to people on their personal data in the custody of companies. This focus on data rights significantly raises the compliance burden...more
Businesses are increasingly relying on the cloud to store confidential and sensitive information. One-third of information technology budgets are used for cloud services. Rapid growth in cloud storage is expected over the...more