
Sign up to save your podcasts
Or


By Ogletree Deakins
4.6
5151 ratings
The podcast currently has 733 episodes available.
The most played episodes among Podcast App listeners.

In episode two of this special series of Defensible Decisions discussing Ogletree’s Talent Risk Assessor, shareholders Scott Kelly (Birmingham/Washington) and Chris Near (Columbia), who are joined by Chrissy Blantz from the firm’s Data Analytics team, focus on dispositions and merit-based hiring documentation. The speakers explain how disposition codes work alongside dashboard analytics to show whether hiring decisions are consistently tied to job-related, posted criteria, and offers practical guidance on auditing job advertisements and disposition practices to reduce litigation risk. The episode closes by previewing episode three, which will apply these same documentation principles to separations and terminations.

In this podcast, Jim Plunkett, shareholder and chair of Ogletree’s Government Affairs Practice Group, is joined by Ed Egee, Vice President for Government Relations and Workforce Development at the National Retail Federation, to discuss the Faster Labor Contracts Act, a piece of bipartisan legislation that recently passed the U.S. House of Representatives and would impose mandatory binding arbitration of first contracts on private-sector employers nationwide. The conversation covers how the FLCA would operate in practice, why its proponents argue it addresses bad-faith bargaining, and why opponents believe it undermines both employer flexibility and workers’ rights to vote on their own contracts. With the bill now before the Senate and a 60-vote threshold standing between the bill and passage, the speakers outline what employers can do now to make their voices heard.

In this episode of our Defensible Decisions podcast series, shareholders Scott Kelly (Birmingham/Washington) and Lauren Hicks (Indianapolis/Atlanta) turn to the input side of AI risk, examining what happens when employees, managers, and executives enter sensitive information into AI systems. Scott, who is chair of the firm’s Workforce Analytics and Compliance Practice Group, and Lauren discuss why AI interactions on company platforms are discoverable records rather than private conversations, including how multi-turn chat logs can document a manager’s intent and create pretext evidence in employment litigation. The speakers walk through real-world examples of employee misuse and explain why employers need enterprise-level monitoring, governance policies, and privilege-protected bias testing before a plaintiff’s counsel does it for them.

In this episode of our Defensible Decisions podcast series, shareholders Scott Kelly (Birmingham/Washington) and Lauren Hicks (Indianapolis/Atlanta) examine what happens when AI produces written content that is inconsistent, biased, or legally problematic in the employment context. Scott, who is chair of the firm’s Workforce Analytics and Compliance Practice Group, and Lauren cover how large language models work as prediction engines rather than knowledge bases, and why that distinction creates real legal exposure when AI-generated outputs differ based on demographic descriptors. The speakers walk through a concrete qualitative test illustrating how the same prompt can yield meaningfully different results depending on a racial modifier, and what that means for employers using AI in hiring assessments and performance management.

In this installment of our Workplace Strategies Watercooler 2026 podcast series, shareholders Simone Francis (St. Thomas/New York) and Lauren Hicks (Indianapolis) explore the fast-moving legal landscape surrounding AI ethics in the workplace, from the ethics rules that already govern attorney AI use to the cautionary tales of real cases with real consequences. Lauren and Simone unpack the emerging privilege and discovery risks that arise when confidential information enters consumer AI tools. The speakers close with practical guidance on AI use policies, bias auditing for employment tools, and the state compliance landscape employers need to navigate now.
The podcast currently has 733 episodes available.

78,549 Listeners

15,719 Listeners

10,778 Listeners

4,337 Listeners

15 Listeners

673 Listeners

56,477 Listeners

369,976 Listeners

145 Listeners

16 Listeners

6,078 Listeners

11 Listeners

26,583 Listeners

86 Listeners

14 Listeners