AI Law Framework MCP Server

by ailawframework Your server? Claim it

not responding

AI Law Framework is listed as active in the registry but did not answer our last check. It exposes 19 tools.

Decide whether AI may be used for a legal task, who drafts and who checks. Australian law.

Uptime history 22 days of history · worst day 0%

22 days agonow

0.0%

Uptime 24h

0 of 91 checks

Tools

read from the server

107 ms

Response time

average over 24h

open, no key

Access

streamable-http

What changed 9

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 25 October 2026. No other catalogue keeps this.

27 Oct 5 tools appeared assess_tool_use, disclosure_duties, find_rules and 2 more

25 Oct 2 tools changed the parameters they ask for record_answers, start_task

25 Oct a tool appeared get_started

25 Oct a tool description was rewritten start_task

AI Law Framework does not always answer

Over the last week it answered 0.0% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 9 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add ai-law-framework --transport http https://ailawframework.com/mcp

Settings → Connectors → Add custom connector, then paste this address

https://ailawframework.com/mcp

~/.codex/config.toml

[mcp_servers.ai-law-framework]
url = "https://ailawframework.com/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "ai-law-framework": {
      "url": "https://ailawframework.com/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "ai-law-framework": {
      "type": "http",
      "url": "https://ailawframework.com/mcp"
    }
  }
}

Available tools 19

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

assess

assess_and_decide

Scores the AI option on adoption, efficiency and governance (step 2), caps governance by the recorded evidence, scores the manual route, and returns the decision, its reasons and the order of preference.

assess_tool_use

Returns the catalogue efficiency, effectiveness and due diligence for one tool on one task, plus the matching court AI rules. Unlisted tools stay not_recorded.

record

record_answers

Adds the user’s answers to the clarifying questions to the work record. Returns the questions still open, or, once all are answered, the research the task requires.

record_research

Adds research findings, each with its source, quote and confirmation status, to the work record. Returns the required research still missing, or the scoring anchors and the governance ceiling the evidence sets.

disclosure

disclosure_duties

Returns the stored disclosure and verification duties for a forum and a document type.

framework

get_framework

Returns the AI Law Framework’s rules: the five steps, the three pillars and their anchors, the decision rule, the four levels, the seven stages and their matrix, and the rules that admit no exception.

jurisdiction

get_jurisdiction_guidance

Returns the framework’s notes for one jurisdiction, and which stored AI instruments apply to a task in a court or tribunal. Name the forum, or court "no" when no court is involved. A gap means no instrument is stored for that forum.

library

search_library

Searches the framework’s published practice areas, tasks, jurisdiction versions, jurisdictions, firm-wide obligations and software profiles. Returns titles, ids and ailawframework.com links.

plan

plan_human_work

Sets the level of each of the seven stages of the task (step 3) from the recorded answers, research and decision, and returns what the lawyer and the AI may and may not do at each stage.

practice

get_practice_area_prompt

Returns the published practice-area prompt for one Australian area. Court AI rules are attached when a jurisdiction code is given.

precedent

get_precedent

Returns one published precedent’s details: summary, when to use it, authorities, the AI-use guidance (level, what AI may and must not do, what the lawyer checks), licence, the date it states the law as at and how the library maintains it. The text itself is available through the signed-in firm connector.

precedents

search_precedents

Searches the published precedent library (letters, agreements, clauses, checklists, forms, policies and more for every practice area) by title, summary and when to use it. Returns ids, titles, kinds, practice area ids, jurisdictions and the date each states the law as at. The full text is available through the signed-in firm connector.

refine

refine_legal_query

Restates one Australian legal question and lists the clarifying questions still open: state or territory, dates, parties, forum, output and urgency.

rules

find_rules

Returns the stored court and tribunal AI instruments that match a task and a forum, using the catalogue rule matcher.

software

get_software_profile

Returns the framework’s research on one AI product and plan: its facts, the governance considerations found, and the cited sources with their review dates. Accepts a profile id or a product name.

start

start_task

Opens a work record for one legal task and returns the clarifying questions the framework needs answered (step 1, define the task), less any already answered in `answers`. The first two are the country and, in Australia, the state or territory: ask them first. Read the skill ailf://skills/ai-law-framework before the first call.

started

get_started

For a new user, or when asked what this is: what the AI Law Framework decides, the first questions it asks (country, then state or territory), the five steps, the skills and starting prompts, and a fictional sample matter the user can run to see a finished work record.

task

get_task_guidance

Returns one task from the practice library: how AI may be used, its level, what the lawyer must review, its checkpoints, restrictions and sources, and its jurisdiction versions.

work

work_record

Returns the work record as markdown (steps 4 and 5): the task, the evidence, the decision, the plan, what the AI did, and the checks, approval and release left for the lawyer.

Endpoints

URL	Transport	State	Latency	Checked
https://ailawframework.com/mcp	streamable-http	answering	107 ms	9 min ago

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AI Law Framework — questions

Answers built from our own checks of this server.

What can AI Law Framework do?

It exposes 19 tools, read directly from the server on our last check. Among them: assess_and_decide, assess_tool_use, disclosure_duties, find_rules, get_framework, get_jurisdiction_guidance and 13 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

What is AI Law Framework mostly used for?

Its tools cluster around assess and record. That is what this server is built to work with — the grouping comes from the actual tool names, not from a category we assigned.

Is AI Law Framework working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 0 of 91 checks got a reply (0.0%), average response time 107 ms. The bar chart above shows every period we have measured.

The registry lists AI Law Framework as active — why does it not respond?

The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.

How do I connect AI Law Framework?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does AI Law Framework need an API key?

No. AI Law Framework completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 19 of them are readable on this page. This is what we observed, not what the docs claim.