LexTrain connects AI legal-tech companies with a vetted network of practicing plaintiff personal injury attorneys — for evaluation, annotation, and rewriting work that teaches AI models to read, argue, and write like an experienced litigator, not a language model.
Every engagement is built around the same principle: your AI model needs to be right, not just readable. We supply the review layer that tells the difference.
Every attorney in the network is personally screened by our founder — a practicing PI litigator — for legal reasoning quality, writing precision, and rubric discipline before they touch a single task.
We build the evaluation criteria alongside your team, then apply it consistently across every demand letter, motion, or model output — evaluating for accuracy, damages framing, and tone, not just grammar.
Every deliverable is reviewed before it reaches you. No submission goes out that hasn't been checked by someone who has personally drafted this exact type of document, thousands of times, under deadline.
Our network specializes exclusively in plaintiff personal injury — a domain with its own reasoning patterns, damages frameworks, and jurisdictional nuance that generalist evaluation platforms consistently miss.
Ryan is a practicing plaintiff personal injury attorney licensed in California, Washington, and Texas. Over a decade in active litigation, he has drafted and reviewed thousands of demand letters, motions, and case summaries — the exact category of document AI legal tools are now attempting to generate.
"An AI can produce a fluent sentence. It takes ten years of arguing these cases to know whether that sentence would actually move an adjuster, a judge, or a jury. That's the gap LexTrain exists to close."
If your team is training or evaluating AI on plaintiff-side legal content, we'd welcome a conversation — no obligation, 20 minutes.
Email ryan@lextrain.ai →