AI is rapidly entering post-production workflows, but many current approaches raise practical questions around confidentiality, editorial control, infrastructure, and operational integration.
This webinar looks at AI-native editing approaches for documentary editors and interview-driven storytellers, with a focus on editorial workflows, confidentiality, and local-first AI processing. Using Doza Assist, https://doza.ai/, as a practical example, the webinar examines how AI can support transcription, media understanding, and rough-cut generation directly on the editor’s own machine, without uploading footage to the cloud.
What will be presented
- AI-assisted documentary editing workflows
- Local-first AI architectures
- Automated transcription and rough-cut generation
- Integration with Final Cut Pro, Premiere Pro, and DaVinci Resolve
Designed for editors, post supervisors, and technology leads, the session focuses on real-world post-production needs rather than experimental AI demonstrations.
Speaker
Chris Cardoza is a documentary filmmaker and photographer based outside Boston. He has directed and shot projects with Reebok, Nissan, Yo-Yo Ma, and the Institute of Contemporary Art Boston, with editorial credits including UNESCO, The New York Times, and VICE. He runs Doza Visuals and built Doza Assist solo to solve a problem he kept hitting at his own edit bay.