One facet of AI use in the PI space is predictive analytics. If you’ve watched an NFL game, you’ve likely seen stats flash up with NFL Next Gen Stats, machine learning technology.
AWS predicts likelihood of certain plays happening, like a receiver catching a pass. See, e.g., Next Gen Stats: Completion Probability Explained (youtube.com). During the next game, look for it. The station shows a replay – the QB throws the pass, then you see AWS probability statistics pop up. You’ll see a 12% chance of a pass completion, and yet, there it is, a game-winning touchdown. In the same way human athletes transcend machine learning-based predictions, lawyers continue to remain necessary despite the promise of more advanced AI
AI is not an attorney replacement
AI can do a lot of things, from draft simple legal documents, to provide general legal information. But as with NFL AWS stats, in the legal world, AI is not replacing lawyers entirely, yet.
AI is “intelligent,” but cognition is not there, yet. Humans remain superior and lawyers’ services irreplaceable. For example, humans remain better at innovating, problem solving, intuiting, and judgment calls. Thus, humans still best suited for things like witness assessment, trial strategy, case evaluation, decision making, advocacy, and human connection with mediators and jurors. Deposition preparation.
Augmented attorneys
Right now, AI augments legal practice. Like assistants and “co-pilots” the utility is reserved for a supporting role. This means, however, that attorneys must develop the necessary skills to capitalize on the opportunity presented.
Attorneys also need to drive the tech where it needs to go. Additionally, attorneys must assure development and utilization occurs safely. Once one understands the goal is not to replace, but to enhance, one can start to embrace. Client service, legal understanding, and outcomes will all improve in the long run.
AI in PI: Artificial Intelligence in Personal Injury, including Mass Torts AI 
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