dsh-law: Local Legal Workbench Plugin for DeepSeek Harness
`dsh-law` is a local legal workbench plugin for DeepSeek Harness designed to consolidate to-do reminders, monthly calendar scheduling, case overviews, and DSH native legal mode sessions into a single workspace. It addresses the high costs associated with verifying information scattered across different legal workflows. Licensed under the MIT License, the plugin requires Node.js >= 18, has zero npm dependencies, and stores all data locally. Its core features include an on-screen case management homepage (supporting marking of approaching due dates and overdue cases), a six-column drag-and-drop case Kanban board with SSE real-time synchronization, DSH native session binding, a skill command panel, and four sets of legal themes. The system supports consultation intake, automatic generation of eight-level local working directories, AI material onboarding, and access control management (AI application and lawyer approval), while also providing a remote entry point for mobile access. Users can install it via GitHub or npm commands and restart the DSH web service.
Read MoreDSH Legal Dashboard: A Legal Matters Workbench and Documentation Tool for DeepSeek Harness
DSH Legal Dashboard is a community plugin for DeepSeek Harness, positioned as a matter-aware legal workspace dashboard and document agent tool for the Harness Web UI. It provides a right-side matter workbench, file tree, search preview, document operations, OCR workflow, native task management, and a bilingual interface. Core capabilities include: displaying matter overviews, files, tasks, and settings in independent panels; recursive file indexing and categorization; previewing PDFs, images, and DOCX; automatically generating legal matter checklists; creating, extracting, and revising documents (defaulting to saving new versions to avoid overwrites); OCR workflow based on OpenAI-compatible vision models (requiring explicit approval); creating long-term tasks via `/goal`; and a UI that switches with the system language. The plugin adopts
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