Connect PracticePanther to Claude, ChatGPT, and any MCP client
PracticePanther, wired to your AI assistant through a hosted MCP connector: verdict first, tools second, guardrails throughout.
Every system here gets an honest, affirmative path: verified and instant, buildable and provisioned, human-assisted, or a done-for-you conversation. Zero dead ends.
Where PracticePanther stands today
Matters, time entries, and documents: practice questions answered from the system your firm already trusts.
Also searched as practice panther. The vendor's developer documentation lives at www.practicepanther.com.
What a PracticePanther connector would expose
The proposal you review during intake, separated into Read and Write. Nothing writes without asking you first.
Extracted from the vendor's API docs and human-reviewed before going live. Writes start one notch stricter.
- search_matters
Find matters by client, number, or status
- get_matter
Fetch one matter with key dates and contacts
- list_time_entries
List time entries by matter or user
- list_documents
List documents filed on a matter
- create_time_entryconfirm
Log a time entry on a matter
fields: matter, duration, description
- update_matter_statusconfirm
Change a matter's status or stage
fields: status
- add_matter_noteconfirm
Add a note to a matter
fields: body
- delete_time_entrydestructivedry-run
Permanently delete a time entry
fields: id
Every write asks first: it pauses on a preview of the exact change and runs only when you approve it, before anything reaches PracticePanther. Turn off anything you never want your AI to touch.
From "PracticePanther" to a working connector URL
Designed for operators, not developers. You never read API docs, manage tokens, or touch a line of code.
- 01
Name it
A 30-second eligibility check confirms your AI client accepts a custom connector URL, then you pick the software. This page pre-fills that step.
- 02
Describe what you need
Plain language, not configuration. What should the assistant be able to look up, and what should it be able to change?
- 03
Review your Connector Blueprint
The exact Read and Write tool list, before you pay anything. Every write ships on in confirm mode and asks before it runs, every tool is individually toggled, and anything destructive carries a distinct warning.
- 04
Deploy and paste the URL
You get a hosted connector URL plus paste-in instructions matched to your AI client, and a live test panel that confirms the connection.
PracticePanther supports Team mode
PracticePanther supports per-user credentials, so each team member connects as themselves: upstream audit trails stay truthful, each member's reach is capped by their own PracticePanther permissions, and per-member URLs are individually revocable.
You sign in to PracticePanther and approve access. The connector requests the scopes its tool surface needs at connect time; every write still asks first, you can turn tools off at any time, and no password is ever shared.
Write access to PracticePanther your IT team will approve
Every write asks first: it pauses on a preview of the exact change and runs only when you approve it. Nothing reaches the upstream system unapproved.
Confirm mode
Enabled writes run through Multi Round-Trip Requests: the tool pauses, shows a human-readable preview of the exact change, and only proceeds with approval. Nothing reaches PracticePanther on the model's intent alone.
Guardrails
Any tool can be turned off. Field-level constraints restrict what can be touched, per-tool rate limits are enforced at the gateway edge, and destructive operations ship in dry-run, demonstrating what they would do until you graduate them.
Activity log
Every tool call is logged: who, what, when, result. Write actions and confirmations are highlighted, redaction controls decide how much argument data is stored, and the log is append-only, with updates and deletes refused by the database.
Connecting PracticePanther: the specifics
Can my AI assistant write to PracticePanther?
Yes, with guardrails. Write tools work out of the box in confirm mode: every write asks first, pausing on a preview of the exact change before anything reaches PracticePanther. Destructive operations ship in dry-run and never execute until you graduate them, and you can turn off any tool you never want touched.
Is it safe to connect PracticePanther to an AI assistant?
Safety is the architecture, not a setting. Every write asks first: it pauses on a human confirmation with the exact change previewed before it reaches PracticePanther. Destructive operations demonstrate in dry-run and never execute until you graduate them, any tool can be turned off, and every call lands in an activity log with redaction controls.
If my team uses a PracticePanther connector, whose name is on the actions?
The right one. In Team mode each member connects with their own PracticePanther identity, so upstream audit trails show the real person, and each member's effective access is the intersection of the connector's guardrails and their own PracticePanther permissions. Per-member URLs are individually revocable.
Which AI clients work with a PracticePanther connector?
Any client that accepts a remote MCP connector URL: Claude (Free, Pro, Max, Team, and Enterprise), ChatGPT on paid plans with developer mode enabled, Cursor, and other MCP-compatible clients. Team and Enterprise workspaces may need an admin to allow custom connectors first.
How long until a PracticePanther connector is live?
Typically 24 to 72 hours. The mapping is generated from the PracticePanther API documentation and human-reviewed before it goes live.
Anything specific to the PracticePanther API worth knowing?
Yes. From our index notes on PracticePanther: REST API with OAuth; docs behind the app, vendor root given.
More Legal systems
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