Compliance Stuff

First thing’s first: What does it mean to measure document automation value? Unlocking the full potential of document automation  requires more than deploying new technology; it requires a clear understanding of the measurable outcomes it creates. Document automation delivers both tangible and less-visible advantages, but the results that matter most to decision-makers are the ones that can be quantified. These five proven ROI metrics offer a practical way to track improvements, quantify outcomes, and build a credible, data-driven business case for continued investment. Together, they give legal, risk, and operational teams a structured framework for measuring document automation value across the organization. Covered in This Article: How to Measure Document Automation Value: 5 Key Metrics ROI Metric #1: Time Savings and Efficiency Gains ROI Metric #2: Cost Reduction ROI Metric #3: Risk Mitigation and Compliance ROI Metric #4: Improved Contract Management ROI Metric #5: Enhanced ...

Employers are increasingly deploying artificial intelligence (AI) across the talent life cycle, from candidate sourcing and ranking, to pre-hire assessments, to onboarding, performance reviews, development, promotions, and retention. While these tools promise efficiency and consistency, they also introduce heightened legal risk if they produce biased outcomes. Many states, localities, and international jurisdictions require proactive AI auditing, transparency, and governance to ensure that AI-enabled employment decisions are fair, compliant, and defensible. Quick Hits Jurisdictions such as California, New York City, Colorado, Illinois, and the European Union (EU) variously require (or plan to require) and encourage bias testing, notices, transparency, and, in some cases, public summaries. AI involvement can create substantial legal risk, even when humans make the final decisions; AI-influenced scores, rankings, or screens can still be treated by regulatory authorities as decision-mak...

As artificial intelligence (AI), particularly generative AI, becomes increasingly woven into our professional and personal lives—from personalized travel itineraries to reviewing resumes to summarizing investigation notes and reports—questions about who or what controls our data and how it’s used are ever present. AI systems survive and thrive on information and that intersection of AI and privacy elevates the need for data protection. Recent  regulations  issued by the California Privacy Protection Agency (CPPA) under the California Consumer Privacy Act (CCPA) begin to erect those protections. Among its various provisions, the CCPA now specifically addresses automated decision-making technologies (ADMT), attempting to bring transparency and consumer rights to, among other things, push back on algorithms making significant decisions about them. As a starting point, it is important to define ADMT. Under the CCPA, it means any technology that processes personal information and ...

On October 1, 2025, the jurisdictional thresholds for Section 503 of the Rehabilitation Act, 29 U.S.C. 793, and the Vietnam Era Veterans’ Readjustment Assistance Act, 38 U.S.C. 4212, increased. The basic coverage threshold for Section 503 increased from $15,000 to $20,000 and the VEVRAA threshold increased from $150,000 to $200,000 . These increases resulted from an inflationary adjustment statute that authorizes the Federal Acquisition Regulatory Council to review and adjust “acquisition-related” threshold amounts in statutes that apply to federal procurement.  Accordingly, the Affirmative Action Program requirements for VEVRAA now apply to covered contractors and subcontractors that have at least 50 employees and a single contract of $200,000 or more . For Section 503, the AAP requirements continue to apply to covered contractors and subcontractors that have at least 50 employees and a single contract of $50,000 or more. As a part of its ongoing contractor assistance efforts, the...

With statistical sampling, counsel can simplify damage analyses, avoid potential issues with incomplete or missing data, and minimize the risk of error. Questions Counsel Should Ask After the Decision to Sample is Made: What is statistical inference? What does the margin of error (MoE) and confidence level mean? What types of sampling methods are there? How can I be confident in the results of the sample? Recap From Last Time In  our prior article , we discussed how and why you should sample because statistical sampling is a generally accepted methodology used to make inferences about populations. When done correctly, statistical samples can produce valid and reliable results. Courts and regulatory agencies alike have acknowledged and allowed for the use of statistical sampling in situations where data may be incomplete, too unorganized, or costly to analyze in its entirety. Additionally, sampling can provide distinct benefits over evaluating all available data. Those benefits in...