Lawve Agentic Delegation Audit Ignacio Adrian Lerer logo

Lawve Agentic Delegation Audit Ignacio Adrian Lerer

Organization
lawve-ai
lawve-agentic-delegation-audit-ignacio-adrian-lerer

Use when a lawyer, legal team, or client needs to assess AI agents that can act on someone's behalf: send messages, search, draft, file, pay, delete, connect to accounts, use tools, or rely on external data. Produces a practical delegation, oversight, accountability, and control audit for legal operations.

Overview

Publisherlawve-ai
Repositoryawesome-legal-skills
Skill namelawve-agentic-delegation-audit-ignacio-adrian-lerer
Stars
854
Forks
111
Bundled files
Instructions only
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 lawve-ai on GitHub. Read the source before you install it.

Installation

Install the Lawve Agentic Delegation Audit Ignacio Adrian Lerer 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/lawve-ai/awesome-legal-skills/tree/main/skills/agentic-delegation-audit-adrian-lerer
  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/lawve-ai/awesome-legal-skills.git /tmp/awesome-legal-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-legal-skills/skills/agentic-delegation-audit-adrian-lerer .claude/skills/lawve-agentic-delegation-audit-ignacio-adrian-lerer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lawve Agentic Delegation Audit Ignacio Adrian Lerer 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 Lawve Agentic Delegation Audit Ignacio Adrian Lerer 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 Lawve Agentic Delegation Audit Ignacio Adrian Lerer 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.

Lawve Agentic Delegation Audit

Use this skill to help lawyers evaluate whether an AI agent workflow is safe enough to use in legal or business operations.

Core idea:

text
When AI only answers, the user evaluates an output.
When AI acts, the user delegates authority.
Delegated authority needs controls, logs, revocation, and accountability.

Use When

  • A client wants to use an AI agent for legal, compliance, business, or administrative work.
  • A product, law firm, or legal ops team is connecting an agent to email, files, CRM, court portals, payments, messaging, calendars, databases, browser tools, or code execution.
  • A lawyer needs to explain the risks of agentic AI in practical governance terms.
  • A workflow may send, file, delete, approve, purchase, publish, sign, deploy, or change access.
  • A system claims to be "autonomous", "agentic", "assistant with tools", "AI employee", "legal copilot", or "workflow agent".

Do Not Use For

  • Pure doctrinal legal research with no agentic action.
  • Final legal opinions without jurisdiction-specific legal review.
  • Technical implementation of an agent runtime.
  • Approving production use of an agent without evidence, logs, and controls.

Intake

Collect only what is necessary:

  • What task does the agent perform?
  • Who is the human principal?
  • Who deploys or operates the agent?
  • What systems, accounts, files, channels, or tools can it access?
  • What actions can it take without step-by-step approval?
  • Which actions are irreversible, external, financial, legal, confidential, or reputation-sensitive?
  • What logs exist and who can read them?
  • How can the user pause, revoke, appeal, or correct the agent?
  • What data can influence the agent, including emails, webpages, chats, files, tickets, and prompts?

Audit Steps

  1. Classify the autonomy level

    • answer_only: produces information only.
    • draft_only: drafts but does not send or change records.
    • approval_gated_actor: acts only after explicit approval.
    • policy_bounded_actor: acts within predefined limits.
    • long_running_actor: continues across time, sessions, or triggers.
  2. Map delegated authority

    • Name the principal.
    • Name the deployer/operator.
    • List what authority the agent has.
    • Separate read, draft, internal write, external write, financial, legal-sensitive, and privileged actions.
  3. Check observability

    • Can the user see what the agent did?
    • Are tool calls and external actions logged?
    • Are logs understandable by a non-developer?
    • Are source data and model inference separated?
  4. Check control and revocation

    • Can the user pause the agent?
    • Can permissions be narrowed?
    • Can access be revoked quickly?
    • Are irreversible actions previewed before execution?
  5. Check accountability

    • Who is responsible if harm occurs?
    • Is responsibility split across vendor, deployer, user, professional, and client?
    • Is there a human review point before legal reliance or external action?
  6. Check attack surface

    • Can untrusted content influence the agent?
    • Does the agent process emails, webpages, chats, documents, tickets, or social posts as instructions?
    • Are external content and system instructions separated?
    • Are prompt injection, data exfiltration, and tool misuse considered?
  7. Apply legal uncertainty gate

    • Use PASS, ESCALATE, or BLOCK for downstream legal/business reliance.
    • Do not hide material uncertainty in disclaimer text.

Output

Use this compact format:

markdown
## Agentic Delegation Audit

### Verdict
PASS | NEEDS CONTROLS | BLOCK

### Why
[2-5 sentences]

### Delegated Authority
- Principal:
- Deployer/operator:
- Autonomy level:
- Systems/tools:
- Highest-risk action:

### Control Checklist
- Permission scope: adequate | weak | missing
- Human approval before external/legal/financial action: yes | partial | no
- User-readable logs: yes | partial | no
- Revocation/pause: yes | partial | no
- Prompt-injection/data-boundary controls: yes | partial | no
- Accountability owner: clear | partial | unclear

### Required Controls
- [control 1]
- [control 2]
- [control 3]

### Legal Reliance Gate
PASS | ESCALATE | BLOCK

### Next Step
[smallest practical next step]

Decision Rules

  • PASS: agent is draft-only or tightly approval-gated, logs are clear, permissions are scoped, and no material legal/client risk remains unmanaged.
  • NEEDS CONTROLS: agent may be useful, but missing controls prevent safe operational reliance.
  • BLOCK: agent can perform external, legal, financial, confidential, destructive, or privileged actions without adequate approval, logging, revocation, or accountability.

Frequently asked questions

What does the Lawve Agentic Delegation Audit Ignacio Adrian Lerer AI skill do?

Use when a lawyer, legal team, or client needs to assess AI agents that can act on someone's behalf: send messages, search, draft, file, pay, delete, connect to accounts, use tools, or rely on external data. Produces a practical delegation, oversight, accountability, and control audit for legal operations.

Why use Lawve Agentic Delegation Audit Ignacio Adrian Lerer on TypingMind?

Because you install it once and use it with any model. Lawve Agentic Delegation Audit Ignacio Adrian Lerer 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 Lawve Agentic Delegation Audit Ignacio Adrian Lerer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lawve-ai/awesome-legal-skills/tree/main/skills/agentic-delegation-audit-adrian-lerer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Lawve Agentic Delegation Audit Ignacio Adrian Lerer?

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 Lawve Agentic Delegation Audit Ignacio Adrian Lerer?

As many as you like. As long as a model supports skills, you can use Lawve Agentic Delegation Audit Ignacio Adrian Lerer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Lawve Agentic Delegation Audit Ignacio Adrian Lerer AI skill free?

It is published on GitHub by lawve-ai. Check the repository for licensing terms. 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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