SAN FRANCISCO: Advocacy today announced the release of Version 2.0 of its platform, significantly expanding the industry’s first context-centric AI litigation workspace. While the broader market is only beginning to recognize the necessity of context in legal AI, Advocacy has been architecting its platform around this requirement for the past 18 months. Version 2.0 takes the platform’s established “case memory,” previously centralized in its AI assistant, and extends that intelligence across every surface where legal work occurs.

Advocacy Version 2.0 tracks a massive, evolving web of intelligence specific to the matter-spanning parties, claims, and timelines to procedural history, evidentiary rulings, strategy notes, and work product. This allows the platform to distill case-level context across millions of data points, turning raw signals into reusable intelligence.

“Litigation is a contest over context,” said Téo Doremus, CEO and co-founder of Advocacy and former securities litigator. “Facts and documents are just data points, but context is the lens through which a judge or jury interprets the record. Lawyers who can control that context win. You wouldn’t hand a new associate a research assignment without first making sure they’ve read the complaint and understand where the case stands. We don’t let AI skip that step either. The system learns about the case before it does the work.”

Version 1.0 established this foundation with Associate, the platform’s conversational AI. Version 2.0 now extends that contextual intelligence across the platform’s entire surface area. With this release, case memory is no longer limited to the Associate; it now powers the AI Editor, a Microsoft Word-native environment where users draft with full case memory actively assisting the process, and Extract, which allows teams to pull structured data from documents at scale-both now benefiting from that same contextual awareness.

This architecture addresses the nuanced reality of high-stakes practice, distinguishing Advocacy from generalist legal AI tools. By synthesizing case-level context across millions of data points, including those from e-discovery and legal research platforms, Advocacy turns the signals teams have already created into instantly reusable intelligence that moves the case forward from one stage to the next. Litigators can now work in a single, shared contextual workspace for a continuously enriched understanding of the matter.

“Context is not mere data aggregation or bare-bones integrations with little to no afterthought. It is the orchestration of case intelligence-knowing what matters, when it matters, and how it advances the theory of the case,” said Isabella De Lisi, Advocacy’s chief operating officer and former antitrust litigator. “Which claims survived the motion to dismiss? What did the court already rule on that limits your arguments? Which deponent contradicted the 30(b)(6) witness? These are the questions that determine whether your next filing is brilliant or a waste of the court's time. We built the platform to know the answers.”

Looking ahead, Advocacy is deploying shareable case memory to solve the fragmentation of distributed legal teams. “We are building toward a future where 'case memory' is the standard of care,” Doremus noted. “In high-stakes litigation, institutional knowledge has historically lived in silos-a partner’s head, an associate’s memo, ESI, or a shared folder. Advocacy connects those silos. When context compounds across the team rather than evaporating, you aren't just more efficient; you are operating at a strategic level that disconnected tools cannot offer.”

Founded by a team of litigators and engineers from Meta, Dropbox, and PayPal, Advocacy identified a persistent imbalance: outcomes driven by bandwidth rather than talent. As demand accelerates among mid-sized and Am Law firms for governed, context-first solutions, the company continues to scale its leadership team, recently adding Jim Watson as head of sales following De Lisi’s appointment.

About Advocacy

Advocacy is an AI-native, context-first litigation workspace built by experienced litigators. The platform serves as the context-driven memory layer across the litigation stack, enabling teams to capture, orchestrate, and apply matter-critical context to drive better outcomes in high-stakes cases. For more information, visit www.advocacy.ai and Advocacy on LinkedIn.

Fonte: Business Wire