After years in high-stakes antitrust and securities litigation, our founding team saw the same problem repeatedly — and built the tool they couldn't find.
"To ensure that litigation outcomes are determined by legal skill — not by who had the bandwidth to find the right document."
After years in high-stakes antitrust and securities work, our founders kept running into the same wall. The intelligence they built around a case — every ruling, every deposition contradiction, every strategic insight — lived in their heads.
When associates rotated, it walked out the door. When they tried AI tools to help, the tools didn't know the case. They started over every time. The outputs looked plausible but couldn't be trusted for work that goes in front of a judge.
So they built Advocacy. Not to replace attorney judgment — but to make sure that judgment is always working from the full picture. A workspace where case memory compounds, where every document and ruling and deposition becomes reusable intelligence, and where an entire team can work from the same shared understanding of the matter.
The goal isn't to automate litigation. It's to make sure the outcome is determined by legal skill — not by who had the bandwidth to find the right document.
Litigation credibility first. Engineering pedigree from Meta, Dropbox, and PayPal.

Berkeley Law grad and former high-stakes litigator with $350M+ in settlements. Translates the complex needs of modern litigators into Advocacy's product strategy.

Former lead engineer at Meta and Dropbox. Builds the secure, scalable infrastructure behind Advocacy's document intelligence and litigation workflows.

Former antitrust litigator at Scott+Scott. Manages operations, team scaling, and client implementation for seamless adoption across litigation practice.

Legal technology sales veteran with deep eDiscovery and litigation support expertise. Leads client partnerships and ensures measurable value for litigation teams.
Litigation is a contest over context. Facts are data points. Context is how the judge interprets the record. Everything we build starts from this belief.
When work goes in front of a judge, accuracy isn't a nice-to-have. We built Advocacy so that every AI output can be traced to a specific document in the record.
Advocacy augments attorney judgment. It does not replace it. The platform exists to make sure legal skill determines the outcome — not bandwidth.
Our backers include legal technology leaders, AmLaw 100 firms, and prominent legal scholars from T14 law schools.
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