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Client Intake

OrganizationPopular
anthropics
client-intake

Structured intake — practice-area templates, cross-area issue spotting, conflict flags, and triage classification. Produces a formatted case summary the student analyzes and the professor reviews. Does NOT decide case acceptance. Use when starting a new client intake, running an intake interview, or writing up a new client's situation.

Overview

Publisheranthropics
Repositoryclaude-for-legal
Skill nameclient-intake
Stars
9.6K
Forks
1.9K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by anthropics on GitHub. Read the source before you install it.

Installation

Install the Client Intake AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/anthropics/claude-for-legal/tree/main/legal-clinic/skills/client-intake
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/anthropics/claude-for-legal.git /tmp/claude-for-legal
mkdir -p .claude/skills
cp -r /tmp/claude-for-legal/legal-clinic/skills/client-intake .claude/skills/client-intake
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Client Intake in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Client Intake on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Client Intake is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

/client-intake

  1. Load ~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md → practice areas, intake templates, supervision style, flag triggers.
  2. Use the workflow below.
  3. Route to practice-area template. Listen for cross-area issues throughout.
  4. Conflict check flags. Triage classification.
  5. Output formatted case summary with AI-assisted label, verification prompts, supervision routing.
/legal-clinic:client-intake

Client Intake

Purpose

Intake is one of the biggest bottlenecks in clinics. A student might spend 45 minutes interviewing, another hour writing it up, more time spotting the issues. Meanwhile the waitlist grows.

This skill structures the conversation, produces the write-up, spots issues across practice areas, and flags conflicts — so the student's time goes to analysis, not transcription.

What it doesn't do: decide whether to take the case. That's the student's analysis and the professor's judgment. Claude accelerates the information-gathering and structuring, not the lawyering.

Load context

~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md → practice areas, intake templates (per practice area if multiple), supervision style, jurisdiction, flag triggers.

Read the supervisor guide

Check for a practice-area guide at ~/.claude/plugins/config/claude-for-legal/legal-clinic/guides/<practice-area>.md. If one exists, use its intake questions, red flags, and good-fit criteria instead of the generic defaults below. If one doesn't exist, use the generic intake and note at the end of the intake summary: "This was a generic intake — your supervisor can tailor the questions for your clinic type with /legal-clinic:build-guide."

When the intake starts before the practice area is routed (Step 1 of the workflow below), re-check for the guide after routing — the guide path depends on which practice area the intake landed in.

Workflow

Step 1: Practice area routing

Which practice area does this intake start in? The client may not know — they know their problem, not the legal category.

"Tell me what's going on — what brought you to the clinic today?"

From the answer, route to the appropriate intake template. If the clinic handles multiple areas and the problem spans them (housing client mentions immigration status, family client mentions domestic violence), note all relevant areas — cross-area issue spotting is a feature, not a bug.

Step 2: Practice-area-specific intake

Each practice area asks different questions. Use the template from ~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md for this area. Defaults if none provided:

Immigration:

  • Current status and how entered
  • Any prior applications, removals, encounters with ICE/CBP
  • Country conditions relevant to any asylum/withholding claim
  • Family members and their statuses
  • Criminal history (sensitive — explain why asking)
  • Timeline urgency: any pending hearings, deadlines, NTAs

Housing:

  • Type of housing (private, subsidized, public)
  • What happened: notice received, lockout, conditions problem, deposit dispute
  • Lease terms and payment history
  • Habitability issues (repairs requested, landlord response, documentation)
  • Timeline urgency: notice date, court date if any

Family:

  • Relationship and what's at issue (custody, support, divorce, protection)
  • Children involved — ages, current arrangement
  • Safety: any violence, threats, fear (handle carefully — see cross-area flags)
  • Existing court orders
  • Timeline urgency: any hearings scheduled

Consumer:

  • Type of debt or dispute
  • Who's contacting them and how (FDCPA relevance)
  • Documentation: contracts, statements, collection letters
  • Has anything been filed against them
  • Timeline urgency: answer deadlines, garnishment, judgment

Step 3: Cross-practice-area issue spotting

While running the practice-area template, listen for issues outside that area:

Client saysAlso flags
"I'm worried about my immigration status"Immigration issue — even in a housing intake
"My partner [threatening behavior]"DV / family law / protective order — even in a consumer intake
"I can't work because of my injury"Possible benefits/disability claim
"They're taking money from my paycheck"Garnishment — consumer/employment overlap
"The landlord said he'd call ICE"Housing + immigration + possible retaliation claim

Note every cross-area issue in the summary. The clinic may handle it, refer it, or both — that's the professor's call. The student should see it.

Step 4: Conflict check flags

Per whatever conflict-check process ~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md describes. At minimum:

  • Opposing party name(s) — does the clinic represent or have represented them?
  • Related parties — anyone else the student or clinic might have a conflict with?
  • Positional conflicts — is this case asking for something that would hurt another clinic client?

Flag for professor review. Don't resolve the conflict — surface it.

Step 5: Triage classification

Not a case-acceptance decision — a triage input:

ClassificationMeans
UrgentDeadline in days, safety issue, irreversible harm imminent
Time-sensitiveDeadline in weeks, harm ongoing but not immediately irreversible
StandardNo immediate deadline, can queue normally
May be out of scopeIssue is outside clinic's practice areas — flag for referral assessment

Step 6: Supervision flag check

Per ~/.claude/plugins/config/claude-for-legal/legal-clinic/CLAUDE.md supervision style and flag triggers. If formal queue or configurable flags are enabled, and a trigger is present (deadline mentioned, DV indicator, immigration status at issue, etc.), note the flag.

Step 7: Deadline handoff — required deliverable

If the intake surfaces any timeline deadline (answer due, hearing, statute-of-limitations cutoff, cure period, filing window, notice window, ICE check-in, removal hearing, eviction court date, protective order renewal), emit a copy-paste-ready /legal-clinic:deadlines --add ... block as part of the intake output. This is a required deliverable, not a suggestion — the intake identifies deadlines, and the student shouldn't have to re-transcribe them into the deadline skill.

Format each deadline as a fenced code block the student can copy, with every field pre-populated from the intake:

/legal-clinic:deadlines --add
  case=[case slug or client-last-name-keyword]
  type=[response|hearing|statute-of-limitations|discovery|cure-period|filing-window|notice|other]
  description="[one-line description of what is due]"
  due=[VERIFY — student + supervisor compute from triggering event]
  source="[triggering event + statute/rule cite, e.g., 'UD complaint served 2026-05-04, CCP § 1167']"
  owner=[student name]
  warnings=[14,7,3,1]

Rules:

  • One block per deadline surfaced. Do not combine. Each one will route through the deadlines skill's pre-add duplicate check.
  • Leave the due= value as [VERIFY — student + supervisor compute] when the deadline is jurisdictional (response deadline, SOL, notice window under a specific rule). The deadlines skill will not compute for you; the student + supervisor do the math and update the entry.
  • When a date is given in the triggering document (a hearing date on a summons, an ICE check-in date, a renewal deadline on a protective order), put that date in due=. When the date is computed (count N days from triggering event), leave the [VERIFY] marker.
  • If no deadline is surfaced in the intake, omit this section — don't fabricate one.

Output

markdown
# Intake Summary: [Client name or ID]

---
[AI-ASSISTED DRAFT — requires student analysis and attorney review]

**Privilege and confidentiality.** This summary is derived from client communications that may be privileged, confidential, or both. It inherits the source's privilege status. Distributing it beyond the privilege circle (including outside the clinic) can waive privilege. Keep it in the clinic's privileged file store, mark it appropriately, and make distribution decisions with your supervisor.
---

**Date:** [date] | **Intake by:** [student] | **Practice area:** [primary + any cross-area]

## Bottom line

[Take the case / Decline because X / Need more info on Y — next step is Z]

## Client's situation (in their words)

[The narrative the client gave, before legal categorization. This is the human story.]

## Legal issues identified

*Every statutory, ordinance, regulatory, rule, or case citation in this section carries a provenance tag (see plugin CLAUDE.md `## Shared guardrails` for the tag vocabulary). `[user provided]` if the supervisor uploaded the text, `[statute / regulator site]` if you fetched it this session from an official source, a research-connector tag (`[CourtListener]`, etc.) if it came from a tool result in this conversation, `[model knowledge — verify]` otherwise. The default is `[model knowledge — verify]`. A supervising attorney who cannot verify a cite against a connector needs to see the tag to know what to check first.*

### Primary ([practice area])
- [Issue 1]: [one line with any cite tagged, e.g., "RLTO §5-12-080 `[model knowledge — verify]`"]
- [Issue 2]: [one line]

### Cross-practice-area flags
- [Other area]: [what the client said that raised it]
  [UNCERTAIN: whether clinic handles this or refers — professor call]

## Key facts

| Fact | Source | Documentation |
|---|---|---|
| [fact] | [client statement / document provided] | [have it / need it] |

## Conflict check

**Opposing party:** [name(s)]
**Related parties:** [any]
**Flag:** [clear / needs conflict check against clinic database]

## Triage

**Classification:** [Urgent / Time-sensitive / Standard / May be out of scope]
**Driving deadline:** [if any — date and what it is]

## Deadlines to log

[One `/legal-clinic:deadlines --add ...` block per surfaced deadline — Step 7.
If none, omit this section.]

## Jurisdictional notes

*Every statute, ordinance, rule, or case citation in this section carries a provenance tag — same vocabulary as `## Legal issues identified`. Default `[model knowledge — verify]`. When no research connector is reachable for this session, record it in the **Sources:** line of the reviewer note (see plugin CLAUDE.md `## Outputs`) — do not emit a standalone banner.*

[State-specific or local-rule-specific issues relevant to this case type, per
CLAUDE.md jurisdiction, with each cite tagged]

## Supervision flags

[If supervision style includes flags: which fired and why. If formal queue:
"QUEUED for [professor]."]

---

## Verification prompts for the student

Before analysis, verify:
- [ ] [Specific fact the intake relies on — confirm with client or documents]
- [ ] [Deadline date — confirm from the actual notice/court document, not client's memory]
- [ ] [Any legal conclusion above is a starting hypothesis — research before relying on it]

## What this summary does NOT do

This summary does not decide whether the clinic takes this case. That's your
analysis and [Professor]'s judgment. It structures what the client told you
so you can spend your time on the analysis instead of the write-up.

Practice-area intake template references

Store practice-area-specific question sets at references/intake-templates/[area].md. Cold-start populates these from the professor's intake form(s); if none provided, use the defaults above.

What this skill does NOT do

  • Decide case acceptance. Student analyzes, professor decides.
  • Resolve conflicts. Flags them for the professor.
  • Give advice during intake. Intake is gathering; advice comes after analysis and professor review.
  • Produce a final document. The summary is a starting point — the student reads it, corrects anything mischaracterized, and builds the analysis from it.

Close with the next-steps decision tree

End with the next-steps decision tree per CLAUDE.md ## Outputs. Customize the options to what this skill just produced — the five default branches (draft the X, escalate, get more facts, watch and wait, something else) are a starting point, not a lock-in. The tree is the output; the lawyer picks.

Frequently asked questions

What does the Client Intake AI skill do?

Structured intake — practice-area templates, cross-area issue spotting, conflict flags, and triage classification. Produces a formatted case summary the student analyzes and the professor reviews. Does NOT decide case acceptance. Use when starting a new client intake, running an intake interview, or writing up a new client's situation.

Why use Client Intake on TypingMind?

Because you install it once and use it with any model. Client Intake is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Client Intake in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anthropics/claude-for-legal/tree/main/legal-clinic/skills/client-intake. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Client Intake?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Client Intake?

As many as you like. As long as a model supports skills, you can use Client Intake with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Client Intake AI skill free?

Yes. It is published on GitHub by anthropics under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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