In the rapidly evolving legal landscape, law firm leaders know that the intersection of litigation and artificial intelligence is becoming increasingly crucial. At the same time, litigation data remains flawed and insufficient for use with AI tools, because it often doesn’t reflect what has actually happened, what is happening, or what may need to happen next within any given case.

Five years ago, there was a strong argument that litigation data would never have its Moneyball moment, or at least not until a core problem was fixed. That previous article (authored by Jaron Luttich and colleagues of his), detailed how the market “continues to layer new technologies on top of flawed data, to parse and repurpose it into marginally more useful constructs.” These flaws remain today. Moreover, they are creating problems for AI developers in need of organized, useful case data, compounding the pressure on law firms to clean up what has been neglected for so long.

Predicted Consequences Now A Catalyst for Change