This episode explores how market data licensing has become more complex, why a legal perspective matters, and where AI is starting to reshape both contracts and compliance. David Anderson speaks with Andrea Young, a lawyer building a market data practice, about the practical problems facing suppliers and data consumers. We discuss why legacy agreements are so hard to manage, why standardization remains elusive, and why AI is likely to force faster modernization across the industry. Key topics • Andrea Young explains her path into market data over the past five years, moving from corporate compliance into data compliance after working in Bermuda and London. • She shares why lawyers are still rare in market data and why the industry cannot be learned from textbooks alone. • David and Andrea discuss the gap between legal drafting and real market data use cases, especially when in-house legal teams do not fully understand licensing nuance. • Andrea describes why simplified licensing is best practice and why one exchange’s streamlined approach stood out as a model. • They unpack how decades of addendums, schedules, and outdated MSAs have created compliance chaos, especially when contracts still reference CD-ROMs and floppy disks. • The conversation covers why audit pressure makes the market more adversarial and why vendors often prefer ambiguity that strengthens their position. • They examine why industry-wide standards are unlikely, since exchanges and vendors monetize data differently and define terms like non-display use differently. • AI becomes the major focus toward the end, especially how it affects licensing, derived data, storage, distribution, attribution, and purge obligations. • Andrea argues that AI needs its own separate policy rather than being bolted onto existing non-display or derived data terms. • They discuss practical AI issues such as external versus internal models, training versus inference, retrieval augmented generation, and whether data can ever truly be purged from a model. • The episode closes on pricing pressure, with David arguing that AI will make more data valuable and more contentious, while Andrea warns that suppliers and consumers both need to stay proactive.
Timestamps 00:00 - Welcome and Andrea Young’s market data background 01:25 - From corporate compliance to market data licensing 03:15 - Why lawyers are rare in market data 04:11 - Building a market data practice inside a law firm 05:52 - How legal and M&A work intersect through relicensing 06:54 - Drafting contracts versus compliance after the fact 08:18 - Why clarity is the best licensing practice 09:31 - Why market data contracts became so messy 11:15 - Old MSAs, addendums, and unreadable contract archives 13:25 - When messy licensing may benefit vendors in audits 17:01 - Why standard contracts are unlikely to happen 18:08 - Why definitions like non-display use still vary 20:17 - Digital rights management and why automation is still far off 23:31 - Why AI cannot yet read legacy licensing cleanly 25:58 - Why advice depends on whether you serve suppliers or consumers 26:44 - How audits are making the market more adversarial 27:36 - Streamlining licensing for long-term business value 28:46 - Advice for newer businesses and FinTechs 30:34 - Why even large institutions often lack data governance visibility 31:12 - The two AI buckets: business usage and operational usage 33:13 - How AI is changing the legal field already 34:15 - Why AI touches derived data, redistribution, and storage all at once 37:03 - Why AI needs its own licensing policy 38:36 - Training versus inference, and where RAG fits in 40:12 - Purge clauses and the problem of deleting model-trained data 41:32 - Whether contracts will need to name technologies like LLMs and RAG 44:50 - How vendors are starting to package AI-specific data offerings 46:25 - Attribution, watermarking, and AI-generated content 47:27 - Copyright questions around AI-generated text 48:25 - Why AI is useful but still needs human judgment 49:52 - Using AI for search, productivity, and everyday work 50:42 - The risk of losing junior talent if AI replaces entry-level work 52:45 - The pricing question: whether AI makes older data more valuable 55:13 - Why AI could make the market even more contentious 56:44 - Why legal expertise in market data is becoming more important 58:16 - Final advice: stay proactive, don’t wait for audits or AI incidents 59:26 - Training the next generation of lawyers in market data 60:50 - Closing thoughts and thanks
DAVID ANDERSON -- https://www.linkedin.com/in/atradia/
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