(4 Aug 2026) Researchers and students now have a new AI-native workspace, with the launch of Digital Science’s Papers AI – where they’ll never have to re-explain their work every time they turn to AI for assistance.
Built by the team behind Overleaf, Papers AI is designed specifically for research workflows. Researchers can write, organize their materials and analyze data, with context-aware AI assisting across a whole project, rather than working in one document at a time. From making sense of a paper someone else has written to producing a document of their own, the assistant stays in context throughout the process.
Papers AI brings research writing, analysis, management and collaborators together in one project, instead of being scattered across separate tools – supporting Word, Markdown, Typst and LaTeX documents alongside Jupyter notebooks, CSV, and Kanban boards.
Papers AI’s fully integrated AI assistant is designed to read a project’s drafts, datasets and references together, reducing the need to re-upload files or re-explain context each time a researcher returns to their work.
Key features include:
- Multi-format writing – draft and organize in Word, Markdown, Typst, or LaTeX within one project
- AI with full project context – the assistant reads drafts, datasets and references together, with no re-uploading or re-explaining required
- Reviewable AI edits – AI-suggested changes are shown alongside the original, for the researcher to accept, reject, or edit
- Code alongside writing – run Jupyter notebook cells and work with CSV data files in place and reuse outputs directly as figures and tables
- Offline-first and private by design – projects live on-device unless a researcher chooses to share or sync them
- Model flexibility – an external or local AI model can be connected instead of, or alongside, the built-in assistant
Find out more here.
