
Tom Baldwin discusses the critical role of data infrastructure in the effectiveness of AI tools within law firms.
Hosted by David Cowen | Careers and the Business of Law Everyone's talking about Harvey, Legora, Spellbook, and Ivo. Nobody's talking about what they ride on top of. Tom Baldwin - founder and CEO of Entegrata, former CIO at Foley, Sheppard Mullin, Reed Smith, and Cadwalader - argues the real story is data infrastructure. Without a single source of truth, every AI tool in your firm is working from a partial picture. WHY THIS MATTERS? If your firm is buying AI tools without auditing the data underneath them, this is your warning shot. Tom's framing: toaster ovens need an electrical grid. KEY TAKEAWAYS AI tools work on narrow tasks, not whole-firm intelligence. 50 asset purchase agreements? Great. 200 million documents? No. Pulling documents out of your DMS strips away the metadata that makes them valuable - judge, opposing counsel, area of law, industry. That context is what AI actually needs. Business-of-law use cases (lateral prediction, cross-sell, client attrition, FP&A) are wide open. Practice of law got all the attention. A data lakehouse unifies data across 20-40 systems. Snowflake popularized it; Azure/Databricks/Fabric are the modern stacks. Cost is roughly the same at…
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