Legal AI for attorney-supervised work
Legal AI that helps firms move from question to next action
Legal AI supports attorney-supervised research preparation, document summaries, deadline extraction, response outlines, case workspaces, and follow-up actions while keeping each workspace isolated and under firm control.
What lawyers feel in the product
Clear daily actions, not another pile of disconnected tools
Legal Growth OS is not full matter management. It is the growth layer that helps the firm get found, capture consultation requests, follow up, and improve the public site.
Website and template control
Choose a law-firm-specific design, update the firm profile, manage services, attorneys, blog articles, landing pages, media, and calls to action from the dashboard.
Booking, intake, and CRM together
Appointment requests, intake answers, source data, notes, tasks, and follow-up history stay connected so staff can see the next appropriate action.
AI drafts with attorney approval
AI can help prepare blog, FAQ, meta, landing page, image, and refresh drafts, but legal content stays in review until the attorney approves it.
SEO, AI-search, and conversion worklists
Partner audits turn technical checks, competitor page links, Search Console or PageSpeed data, and booking behavior into practical improvement recommendations.
What it does
AI work that stays tied to the firm's actual workflow
The goal is not a generic chatbot. Legal AI keeps chats, case workspaces, documents, CRM checks, appointment suggestions, and saved summaries inside the current firm workspace so attorneys can move faster without losing control.
Chat mode
Ask for checklists, intake questions, document-prep guidance, blog drafts, consultation prep, and practical next steps without opening a full case workspace.
Case mode
Create a focused case workspace with matter type, jurisdiction, deadline, opposing party, summary, documents, notes, and AI-assisted analysis.
Document analysis
Summarize uploads, extract deadlines, identify issues, outline response options, and flag what needs attorney review before any client-facing action.
Linked actions
Ask whether a person exists in CRM, prepare a lead, draft a follow-up, suggest an appointment, or save a summary only after confirmation.
Firm boundaries
Legal AI can only use the active firm's workspace context. It cannot reveal another firm's data, change passwords, add users, or bypass confirmations.
Usage controls
Plan-based limits and overage bundles keep document-heavy AI work predictable instead of letting costs quietly run away.
Workflow
From prompt to attorney-controlled action
Ask
The user starts in chat mode or case mode and supplies only the context needed for the task.
Analyze
Legal AI summarizes, organizes, extracts, drafts, or recommends the next operational step inside the current workspace.
Confirm
CRM, booking, case-note, or email actions require confirmation before anything changes.
Legal safety
Built around attorney control
AI content remains in a draft and attorney-review workflow. The intake assistant collects information and can help with booking, but it cannot give legal advice or evaluate case merits.
Draft -> Attorney Review -> Approved -> Published
Practical recommendations, attorney-controlled publishing
No fake attorney images, awards, or results
Tenant-filtered data access
Related features