Practical thinking on AI in litigation, case strategy, and the future of legal work — from the team building the platform.
Most AI tools promise to make lawyers faster. That's the wrong goal. In litigation, the team that wins is the team that controls context. Here's why that distinction matters and what it means for how you evaluate AI.
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Advocacy launches with $3.5M led by Relentless, with participation from Relativity Labs and Fenwick & West, to build the context-first litigation workspace.
Advocacy is a finalist for Best Use of AI (E-Discovery & Litigation) at the 2026 Legalweek Leaders in Tech Law Awards.
Téo Doremus talks with The Deal Director about Advocacy's founding thesis, how litigation differs from transactional work, and why context beats speed.
Téo Doremus on how knowledge management professionals and litigation support teams can find the right AI tools — even when firm leadership is skeptical.
Advocacy will be exhibiting at the ABA Litigation Conference at the Hilton Boston Park Plaza. Stop by our booth to see case memory in action.
Our CEO Téo Doremus met with industry leaders to discuss what purpose-built AI means for the future of legal practice.
A round table of senior litigators discussing the impact of AI on litigation. Hosted at Fenwick & West offices. Invitation only.
Register →Lawyers don't resist AI because they fear change. They resist it because they can't verify it. Governance is how you close that gap.
Most firms have AI policies. Few have enforcement. Here's what it takes to move from aspirational guidelines to operational accountability.
The team that controls the narrative wins. Context-first AI gives litigators the edge that speed alone never will.
AI in discovery has moved past the demo stage. Here's what real adoption looks like — and where the gaps still are.
Faster doesn't mean better. The real return on legal AI is measured in case outcomes, not hours saved.
Point solutions create silos. End-to-end workflows create compounding intelligence across your entire matter lifecycle.
Every vendor claims AI. Here's a practical framework for separating tools that perform from tools that just present well.
The best AI tool fails without adoption. Change management is the difference between a pilot and a practice.
Everyone's talking about AI agents. Few can explain what they actually do in a legal workflow. Here's what matters.
AI doesn't read minds. Structured inputs produce reliable outputs. Here's how litigators get better results from AI tools.
When AI compresses the time it takes to do legal work, the billable hour stops making sense. Here's what comes next.
Corporate legal departments aren't asking if you use AI. They're asking why you don't. Client expectations have shifted.
Legal AI has evolved from curiosity to expectation in four years. Here's the trajectory — and what the next phase demands.
The firms that thrive in 2030 won't just use AI. They'll be built around it. Here's what that restructuring looks like.
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