Scott+Scott law firm has entered a design partnership with litigation startup Advocacy AI, with the goal of building customized applications of Advocacy's platform-including a potential case identification use case. The arrangement, announced July 29, 2026, marks a concrete step toward integrating AI into the firm's core litigation workflows.
Tailoring the platform for firm needs
The partnership will focus on adapting Advocacy's technology to the firm's specific requirements. Rather than a generic deployment, the design partnership allows Scott+Scott to shape the tool's features directly with Advocacy's engineers. The most immediate target is a use case around case identification, which could help attorneys surface relevant matters from internal data or external filings more quickly than manual review.
Such a tool would analyze patterns in fact patterns, jurisdiction, or damages to flag potential claims. The firm intends to explore how the platform can be customized for other litigation tasks as the partnership develops.
Case identification and the paralegal workflow
The case identification use case aligns with work that paralegals and junior associates often handle during initial intake and research. By automating the first pass, the firm could reallocate time to higher-value analysis. Advocacy's platform is designed to work within existing legal tech stacks, which could reduce the friction of adoption.
Broader movement toward AI in litigation
The deal reflects a wider pattern of law firms moving beyond pilot programs and into co-development arrangements with AI for Legal startups. Rather than waiting for off-the-shelf products, some firms are now funding or co-designing tools that fit their practice areas precisely. Scott+Scott's decision to partner with Advocacy signals a commitment to embedding AI early in the case lifecycle, rather than treating it as a bolt-on research aid.
Why this matters for legal professionals
The design partnership model means that the tools lawyers and paralegals use will increasingly be shaped by actual practitioners, not just vendors. For legal professionals, understanding how these systems work-and what they can and cannot do-will become a practical necessity. The project's focus on case identification also suggests that tasks often seen as judgment-driven are being re-examined for automation, shifting the skill set that firms value in their teams.
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