What

Logical is an AI copilot for desktop work that runs on macOS and uses on-screen context to understand what a user is doing across apps. It is designed to reduce manual coordination work by surfacing relevant next actions, extracting to-dos from communications, summarizing meetings, and helping refine writing in place.

The product appears aimed at knowledge workers who spend their day across email, chat, documents, meetings, and research tools. Based on the page, its positioning is a local-first productivity assistant that works at the operating-system level rather than relying only on app-specific integrations or workflow changes.

Features

Context-aware assistance across apps — Logical detects the active app and on-screen context to surface relevant next actions automatically while you work.
Automatic to-do capture — It identifies actionable tasks from emails, chats, and threads as they appear, reducing manual task entry without requiring integrations.
Meeting summaries and action items — It converts meetings into summaries, key moments, and follow-up actions without adding meeting bots or changing existing workflows.
In-place writing improvement — Users can highlight text to refine tone, clarity, and grammar with awareness of the surrounding context.
Clipboard history and reuse — It stores copied content for search, reuse, and follow-up actions across applications.
Connected tools and knowledge bases — Users can connect selected services and store documents, notes, and research for cross-source querying, although the page does not specify which tools are supported.

Helpful Tips

Validate context accuracy early — For products that act on-screen and across apps, test whether suggestions and extracted to-dos stay accurate in your real daily workflow before broad adoption.
Review privacy controls in detail — Logical emphasizes local-first processing, custom app and website filters, and instant hiding, so teams with sensitive work should verify these controls against their internal data-handling requirements.
Map it to high-friction workflows first — The strongest near-term value is likely in task extraction, meeting recap, and writing assistance, where repetitive admin work is common and easy to compare against current effort.
Check platform fit before rollout — The page states the product is in beta and currently available on macOS 14.0+; Windows support is described as coming soon.
Clarify connected-tool coverage — If cross-system querying is important, confirm which services can be connected, since the source page mentions the capability but does not list supported platforms.