We build what most agencies are still trying to figure out: the internal systems that make an AI-native operation actually run.

The engagement started with a workflow audit across research, case prep, and client communication, which surfaced where time was being lost and where AI tooling could do the heaviest lifting. From there, the work focused on integrating research acceleration and document drafting tools into real attorney workflows, not as separate products to log into, but as a configured layer inside the process they already used. The knowledge infrastructure is built around a GitHub-based system where attorneys check work in and out through pull requests, keeping the practice's collective intelligence versioned and searchable with clear attribution for who contributed what. All documents are rendered as HTML rather than markdown, which preserves the kind of visual hierarchy and typographic detail that plain text erases. Everything lives on a password-protected section of their own website, built on a headless CMS they own outright.

The engagement touched every team, building consistent processes for how context and research get captured, and how work moves from strategy through development and review. GitHub sits at the center of it, with PR-based workflows that give everyone a traceable record of how decisions were made. Content production changed significantly with a custom internal tool built specifically for their brand. Creatives drag and drop assets into a media creator that understands their guidelines, outputs every ad size needed for Meta, Google, and beyond, and generates variations at a scale that would have taken days to do manually. A full brand audit consolidated assets from every property into a single brand guidelines website the whole team now works from. When the active engagement ended, the infrastructure kept working: best-practices updates push automatically, and new hires run a single install that configures every AI tool in the agency stack.