Move past simple chatbots to agentic workflows that automate legal tasks while keeping human judgment at the center.

The AI conversation in law firms is shifting from simple tools to systems that can actually perform work across the litigation lifecycle.
This program explores how agentic AI is changing plaintiff practice, where it creates real leverage, and where human judgment remains essential.
Attendees will gain a practical understanding of how leading firms are approaching AI infrastructure, automation, and long-term strategic adoption.
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The NYS Academy of Trial Lawyers is the largest statewide trial bar in the US with 5,700+ lawyer and judge members. We are committed to protecting, preserving and enhancing the civil justice system. Our highly acclaimed CLE programming features extraordinary presenters covering the most timely and important topics.

Trial/Litigation Attorney - Plaintiff at Garces, Grabler & LeBrocq
Wil Campbell is a trial lawyer who has tried more than twenty cases to verdict, handled over fifty bench trials, and taken more than one hundred depositions across civil and criminal matters, including cases involving international corporations. His practice now focuses exclusively on personal injury, where he manages a docket of more than two hundred active cases with AI running through the daily work: medical chronologies, deposition preparation, case analysis, legal research, motions and briefs, and trial preparation from openings through cross-examination and closing. Operating AI at that scale, in a live plaintiff's practice, is what he brings to conversations about where legal technology is actually headed. He trained under Gerry Spence at the Trial Lawyers College, served on the trial skills faculty of the National Institute for Trial Advocacy, and holds a Master of Laws in Trial Advocacy, with honors, from Temple University. Before law school, he served as a U.S. Army officer with the 101st Airborne Division (Air Assault), completing his service at the rank of Captain. Wil has spoken on AI at the Trial Lawyers University and at Supio's annual conference. He is a Supio superuser who is regularly asked for his input on how the technology should work in real cases, so it holds up to the demands of actual litigation rather than the demo. His standard for legal AI is a trial lawyer's standard: the technology has to do more than generate language. It has to help lawyers find the facts, organize the record, and sharpen strategy, freeing capacity for the work that moves a case toward resolution or trial, and it has to do so in a way that is ethical, secure, and safe and that protects the client, the lawyer, and the integrity of the legal system.

Account Executive at Supio
Angela Ventro practiced plaintiff-side personal injury law, handling workers' compensation, motor vehicle accidents, and Social Security Disability matters. She drafted demands, reviewed medical records page by page, argued causation, and fought for clients who were hurting, so she knows exactly what it feels like to be buried in 400 pages of treatment notes with a mediation 72 hours away. After years in B2B sales, client services, and legal staffing, she returned to legal to bridge the gap between what PI firms actually need and what technology can genuinely deliver. Her time on the staffing side also gave her a clear view of the bandwidth and capacity constraints firms work under every day. At Supio, Angela partners with plaintiff PI firms across New England and Upstate New York to implement an AI litigation assistant that supports the full case lifecycle, from intake through resolution. Having sat in the same seat as the attorneys she works with, she asks sharper questions, respects their time, and stays focused on the outcomes that matter to their clients and their bottom line.

Head of Intake at Supio
Vinith Johnson leads Intake at Supio, where he heads product for the agents that handle everything pre-case across personal injury and mass tort. A Y Combinator founder, he previously built and led Sophys, developing multimodal AI agents for intake and healthcare, and has contributed product leadership across early-stage legal AI ventures. His path into agentic products runs through engineering and science: before founding companies, Vinith designed surgical devices and conducted published research at UCSF. That blend of clinical rigor and product instinct shapes how he builds AI that takes on real work while keeping people at the center of the case.