Gail helps employment firms turn intake into action.
Capture facts faster, organize client follow-up, prepare supervised drafts, and keep attorneys focused on review and strategy instead of repetitive setup work.
✓ Built for law firms ✓ Supervised workflows ✓ Human review stays in control
New employment matter
Matter readiness workspace
Built around real firm workflows
Gail is not a generic chatbot. It is a legal workflow surface designed to help firms intake, prepare, and review employment matters with more consistency.
AI-assisted intake
Suggests structured intake details from client narratives, helps identify missing fields, and keeps the matter organized from the first contact.
Supervised draft preparation
Helps prepare charge, agreement, complaint, and response drafts while keeping lawyer review and approval in the loop.
Client follow-up workflows
Tracks what is still missing, drafts focused follow-up requests, and supports portal and SMS-based collection flows.
Employment matter readiness
Gives firms a clearer picture of what is ready, what is blocked, and what needs human review before escalation or filing.
Firm workflow builder
Supports configurable intake and review workflows so firms can tailor Gail to the way they actually practice.
Review-first posture
Gail is designed to support legal teams, not replace them. Sensitive outputs stay grounded in approval, auditability, and controlled workflows.
Where Gail fits
Plaintiff-side employment firms
- Organize intake before attorney review
- Prepare charge and drafting workflows faster
- Reduce repetitive admin work for staff
Growing legal teams
- Standardize matter setup and follow-up
- Keep partner visibility high as volume grows
- Build repeatable review paths instead of ad hoc threads
Firms piloting AI carefully
- Start with supervised, bounded workflows
- Keep final legal judgment with attorneys
- Improve throughput without giving up control
Interested in Gail for your firm?
We are working directly with firms that want a practical, review-first AI workflow for employment matters.