Strongsuit Shows How Legal AI in Litigation Moves From Chat To Workflow

We sit down in this episode of the LTSF podcast with Justin McCallon, CEO and founder of StrongSuit, to get concrete about what modern litigation AI looks like when it’s built around real attorney workflows. Justin shares how his experience in legal transformation and early gen AI product work shaped StrongSuit’s approach: help litigators from intake through trial with research, drafting, doc review, timelines and statements of facts, deposition prep, and even oral argument practice. From that overview, Justin highlights just one of StrongSuit's standout features: an AI appellate judge that can interrupt, question your positions, and adapt in real time based on the case materials you upload. Your podcast host, Charlie Uniman, and Justin also dig into the engineering choices behind reliable legal AI: why StrongSuit emphasizes visual, multi-step workflows over an open-ended chat box, how “lawyer in the loop” review fits into quality control, and how a curated 11 million case law database plus retrieval augmented generation supports stronger results. We close with a wider lens on several salient aspects of today's AI-in-legal market;  namely, the looming competition in legal A between the foundation models, on the one hand, and vertical legal tech vendors, on the other; what may keep VC interest in the legal tech vertical hot; and advice to founders on focus and on building fast with AI-assisted engineering. If you like the episode, subscribe, share it with a litigator or legal ops leader, and leave a review with the one litigation-driven workflow you most want AI to improve.