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

How do you turn legal data into trusted insight across one of the world’s largest law firms?

In this episode, Jennifer Mapp, Senior Director of Data Management and Analytics at Morgan, Lewis & Bockius LLP, shares how her team built a firmwide data foundation that empowers attorneys and business leaders to make faster, smarter decisions. From launching business intelligence dashboards that replaced hours of manual reporting to expanding the firm’s knowledge management program into a structured data governance model, Jennifer explains how credibility, collaboration, and consistency turned raw data into real value.

She walks through how Morgan Lewis connects internal and external data to create unified profiles for over 15,000 cases. Jennifer also breaks down how the firm measures success (adoption, quality, and attorney feedback), the importance of starting small instead of waiting for perfect data, and how cross-functional collaboration is setting the stage for responsible AI readiness across the firm.

Timestamps:

(00:00) Intro

(01:33) Jennifer's journey into legal data

(04:39) The importance of data quality and adoption

(13:35) Implementing business intelligence dashboards

(16:17) Curating metadata for enhanced insights

(20:28) Measuring impact and adoption

(22:41) Challenges and lessons in data governance

(29:10) Buy vs. Build: Strategic decisions

(31:17) Future of data, analytics, and AI in law firms

(34:04) Practical advice for data strategy

Connect with our guest:

• Jennifer Mapp on LinkedIn: https://www.linkedin.com/in/jennifer-mapp-mba-81890b7/
• Learn more about Morgan, Lewis & Bockius 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

What makes a modern data platform actually work inside a law firm?

In this episode, Mark Thorogood, Director of Enterprise Data Operations & Software Engineering at Perkins Coie LLP, breaks down how his team moved beyond on-prem constraints to a DIY lakehouse and logical data fabric that unify insights across the firm. Drawing on lessons from the army and time at sea, Mark explains why standards, simplicity, and focusing on “critical data elements” beat boiling the ocean, and how a business glossary (not just a data dictionary) turns data into decisions.

Mark also shares the nuts and bolts: Databricks and Microsoft Fabric on Delta/Parquet, Denodo for virtualization, and Power BI on the front end, plus the outcomes that matter (costs cut to one-fifteenth, 12× more finished rows, and cycle times moving from months to sprints). We get into API realities (why you’ll cache), medallion-style layers (including their “copper” tier), portfolio-level budgeting beyond matter records, and what’s next with agentic AI producing defensible, explainable analyses across practice groups.

Timestamps:

(00:00) Intro

(01:34) Mark's career journey

(02:48) Lessons from the Army and sailing

(05:09) Leadership and team building

(06:21) The importance of data

(08:27) Building a data platform

(12:52) Implementing a lakehouse

(16:03) Architecture inspiration and choices

(17:47) Business glossary vs. Data dictionary

(22:03) Challenges in scaling and API performance

(23:24) Utilizing API data for enrichment

(26:37) Building and managing a data team

(28:52) Client portfolio budgets and AI integration

(30:43) Future of data analytics and AI in legal

(35:18) Virtualization and semantic layers

(36:50) Resistance to change and overcoming it

(38:57) Practical tips for data platform transition

Connect with our guest:

• Mark Thorogood on LinkedIn: https://www.linkedin.com/in/methorogood/
• Learn more about Perkins Coie LLP: https://perkinscoie.com/

Connect with Tom:

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