Read and reason over documents
Lapt: Employees read records, correspondence, and productions and pull out what matters, with citations.
Workflow automation: Reading documents usually means adding AI steps that you configure and maintain yourself.
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Workflow automation tools move data between apps when a trigger fires. Lapt gives your firm AI legal employees that read the matter, do the work, and bring it back for review, with permissions and citations built in.
Works with
And the rest of your legal stack…
If-this-then-that works when every case looks the same. Legal work rarely does. Lapt's employees read the file, handle the details, and show you their sources.
Lapt: Employees read records, correspondence, and productions and pull out what matters, with citations.
Workflow automation: Reading documents usually means adding AI steps that you configure and maintain yourself.
Lapt: Intake, records requests, demand drafting, and billing review are ready to adapt to your firm.
Workflow automation: Workflows are built from general-purpose steps and templates.
Lapt: Work is organized by matter, with parties, deadlines, and documents in context.
Workflow automation: Data passes between steps as fields, without a shared view of the matter.
Lapt: Each employee sees only the matters its team is assigned to.
Workflow automation: Automations usually run with the access of whoever connected each app.
Lapt: Drafts and outbound messages wait in an approval queue with their sources attached.
Workflow automation: Approval steps are possible, but you build and wire them up yourself.
Lapt: Tell an employee what you need and update its instructions when your process changes.
Workflow automation: Someone maintains each flow as apps, fields, and processes change.
Where each approach fits, row by row.
| Capability | Lapt | Workflow automation |
|---|---|---|
| Platform | ||
| Built for | Legal operations | Moving data between apps |
| Ready-made legal workflows | Yes | Partly: General templates |
| Size of app catalog | Focused on the legal stack | Very broad |
| Legal work | ||
| Reads and summarizes documents | Yes | Partly: Via AI steps you configure |
| Citations to source documents | Yes | Not typical |
| Matter context across steps | Yes | Not typical |
| Drafts from firm templates | Yes | Partly: With extra steps |
| Controls and review | ||
| Matter-level permissions | Yes | Not typical |
| Human approval step | Built in | Partly: Build it yourself |
| Audit trail | Per matter | Per workflow run |
| Setup and upkeep | ||
| How work is defined | Plain-language instructions | Triggers, steps, and field mapping |
| Simple app-to-app data syncs | Not the focus | Yes |
Based on how tools in this category typically work. Individual products differ, so check the details with any vendor you evaluate.
Judgment built in
Most legal work starts with reading: a medical record, a production, a client email. Lapt employees read the file, pull out what matters, and cite where each fact came from, so the output is work product rather than a moved file.
Legal from day one
Generic tools can be bent toward legal work with enough steps. Lapt starts there: every task belongs to a matter, access follows the matter, and every step is logged for review.
Less to maintain
When your process changes, you update an employee's instructions in plain language. There are no branches to rewire and no field mappings to fix when an app changes.
See how Lapt's employees read the file, do the work, and bring it back for your approval.
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