How do you drive widespread AI adoption in a law firm, and how do you navigate the thin line between a quick weekend proof-of-concept and enterprise-grade deployment?

In this episode, Tim Fox, Chief Data and AI Officer at Ogletree Deakins, shares his unique journey from mailman to litigator, AI co-founder, and now C-suite strategist. Tim explains how Ogletree Deakins moved past the initial AI hype cycle to achieve an impressive 70% to 80% monthly active user adoption rate among its attorneys across their platforms.

He walks through the operational realities of scaling software, explaining why relying purely on vibe coding misses the critical enterprise governance and security frameworks required in a regulated legal environment. Tim also unpacks the false binary of buying vs. building legal tech, how to effectively partner with vendors to ensure mutual success, and why law firm leadership teams must actively experiment with AI tools to truly understand their long-term strategic impact.

Timestamps:

(00:00) Intro

(01:50) Mailman transitioning to legal AI leader

(06:09) Transforming firm data into strategic advantage

(07:45) Settlement data extraction insights

(09:09) Leveraging external data for competitive advantage

(10:32) Four key barriers to AI adoption

(15:31) Training staff for effective AI usage

(18:55) Buy and build AI strategy explained

(21:33) How to run vendor demos successfully

(25:36) Managing legal tech ecosystem sprawl

(36:27) Regulatory data insights for labor law

(39:10) Sequencing data strategy and governance

Connect with our guest:

• Tim Fox on LinkedIn: https://www.linkedin.com/in/tim-fox-legal/
• Learn more about Ogletree Deakins: https://ogletree.com/

Connect with Tom:

• Tom Baldwin on LinkedIn: https://www.linkedin.com/in/tombaldwin/

Learn more about Entegrata: https://www.entegrata.com

How do you build a law firm data platform that actually gets used, and know when it’s time to evolve beyond it?

In this episode, Reanna Martinez, Director of Innovation, Systems, and Data at Munger, Tolles & Olson LLP, shares the firm’s multi-year journey building a modern, cloud-based data lakehouse on Azure. From standardizing data at the point of entry to consolidating employee, financial, and matter data into a centralized platform, Reanna explains how Munger transformed fragmented information into a trusted enterprise asset.

She walks through why the firm initially chose to build in-house, how governance and security shaped every architectural decision, and what five years of hands-on experience taught her team about scalability, resourcing, and long-term sustainability. Reanna also breaks down the signals that indicated it was time to evolve toward a purpose-built data platform, and what other firms should understand before embarking on a similar path.

Timestamps:

(00:00) Intro

(01:50) Reanna Martinez’s career path into systems and data

(03:52) Establishing a firmwide data foundation at Munger

(05:09) Governance constraints that shaped innovation decisions

(06:41) Creating a centralized platform to eliminate data silos

(09:35) Why the firm chose to build its platform internally

(12:12) Key lessons learned from building a homegrown lakehouse

(21:53) How AI changes expectations for secure data platforms

(28:52) Reflections on data access, insights, and evolving delivery

Connect with our guest:

• Reanna Martinez on LinkedIn: https://www.linkedin.com/in/reannamartinez/
• Learn more about Munger, Tolles & Olson LLP: https://www.mto.com/

Connect with Tom:

• Tom Baldwin on LinkedIn: https://www.linkedin.com/in/tombaldwin/
• Learn more about Entegrata: https://www.entegrata.com

How do you turn legal data into a modern platform that powers analytics, self-service, and AI across one of the nation’s most innovative law firms?

In this episode, Lisa Mayo Haynes, Senior Director of Technology Innovation, and Ian Lopez, Manager of Technology and Innovative Solutions at Ballard Spahr LLP, share how the firm modernized its data warehouse into a lakehouse that unites structured and unstructured data: powering real-time dashboards, predictive insights, and generative AI tools like Ask Ellis and Ballard X-Ray. They outline how Ballard Spahr built a trusted data foundation that drives adoption and measurable impact through accurate, effectively-dated data, secure access, and a shift from reactive to predictive analytics.

Lisa and Ian also discuss how their team built data confidence across the firm: teaching data literacy, simplifying access, and scaling early wins into lasting transformation. From major time savings to AI tools that free attorneys for higher-value work, they show how Ballard Spahr is turning information into a future-ready, trusted data ecosystem.

Timestamps:

(00:00) Intro

(00:32) Meet the innovators: Lisa Mayo Haynes and Ian Lopez

(02:30) Lisa's journey: From developer to director of technology innovation

(03:52) Ian's path: Discovering the power of analytics

(05:43) The importance of accurate data

(08:46) Transitioning to a modern data platform

(10:23) Cross-departmental collaboration and challenges

(12:22) Predictive analytics and client value

(22:12) Lessons learned and future directions

(25:09) Building data confidence in partnerships

(27:42) Implementing effective data governance

(30:01) Proud achievements in AI and data integration

(36:17) Adoption metrics and ROI

(41:58) Future of AI and data in legal firms

Connect with our guests:

• Lisa Mayo Haynes on LinkedIn: https://www.linkedin.com/in/lisammayohaynes/
• Ian Lopez on LinkedIn: https://www.linkedin.com/in/ian-brooks-lopez/
• Learn more about Ballard Spahr LLP: https://www.morganlewis.com/

Connect with Tom:

• Tom Baldwin on LinkedIn: https://www.linkedin.com/in/tombaldwin/
• Learn more about Entegrata: https://www.entegrata.com