A firm saved 20 hours a week from intake to signed engagement. Learn more
Lapt is the AI-native workspace for law firms, with AI legal employees already inside it.
Paralegal
Drafts demand letters, chronologies, and discovery responses from the matter file.
If you can describe the task, an employee can take it on. It works inside the matter with your templates, rules, and tools, then brings the finished work back to you for review.
Who called overnight? Summarize anything that looks like a PI case and run conflicts.
Your firm's documents, the playbooks your employees follow, and a live record of every action, all tied to the matter they belong to.
Connect your practice management system, document stores, and templates once. Every employee works from the same current context, limited to the matters it is allowed to see.
Turn firm playbooks into skills, like your demand letter format or your records request steps. Employees follow them the same way every time.
Every action shows up as it happens, tied to its matter, with what is waiting on you and who approved what.
Collaborate
Collaborate
Microsoft TeamsMention @Lapt in any channel or chat. The employee replies in the thread with the finished work.
OutlookClient replies drafted from the matter file, waiting in your inbox for approval.
WordCited edit suggestions right beside the draft you are already working on.
Set up once, used by the whole firm. One person configures an employee's tools, skills, and instructions. Everyone at the firm can then put it to work on their own matters.
Alvarez v. Delta Freight
Everything on the matter, with your approval rules still applied.
Access by matter. Decide what each employee, and each person, can do on every matter: full access, draft only, read only, or nothing at all.
Quality
Cited by default. Every fact in a draft links back to the page it came from, so review means checking sources, not re-reading the file.
Approval before anything leaves. Employees draft and prepare. A person on your team approves before anything is filed, sent, or billed.
Measured against your standards. Test each employee against your own examples and rubric before it touches a live matter, and again after every change.
See hours returned, tasks completed, and approval rates for every employee, matter, and practice group.
Every read, draft, tool call, and approval is logged with who did it, on which matter, and when.
Run Lapt in a dedicated environment with private MCP servers, so matter data stays inside the boundary you set.
Matter-level permissions. Employees and people only see the matters they're staffed on.
Single sign-on. Sign in with the identity provider your firm already manages.
AI model controls. Choose which models your employees can use, and where they run.
Encryption. Matter data is encrypted in transit and at rest.
Data retention rules. Set how long matters, recordings, and drafts are kept.
Credential vault. Store connector credentials once and scope who can use them.
Firm policies & guardrails. Plain-English rules that block, flag, or log an action before it runs.
Tool call tracking. Trace every connector call an employee makes, with inputs and results.
Reporting. See adoption, hours returned, and outcomes by practice group.
Approval rules. Decide which actions need a sign-off, and who gives it.
One firm moved everything from first inquiry to signed engagement into Lapt. The form comes in, an attorney approves, and the matter exists.
20 hrs
saved each week, from first intake to signed engagement
Records requests go out the day a matter opens, get chased until they arrive, and come back as a treatment summary cited to the page.
Medical records agent
Run by the Records employee
Demand letters start as a sourced first draft built from the file. Every fact is cited, and nothing is sent until an attorney approves it.
Demand letter drafting
Run by the Paralegal employee
Time entries are cleaned against the firm's billing guidelines and invoices are drafted for partner review before month-end.
Billing review agent
Run by the Billing employee
Connect your stack, tell Lapt what you need, and review the work when it's ready.
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