AI Law Framework
Decide whether AI may be used for a legal task, who drafts and who checks. Australian law.
我该使用它吗
质量与安全性
发现(2)
- LOW在 get_jurisdiction_guidance 中
- LOW在 get_framework 中
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中:
{
"mcpServers": {
"ai-law-framework": {
"url": "https://ailawframework.com/mcp"
}
}
}远程端点
https://ailawframework.com/mcpstreamable-http它能做什么
工具清单
工具(14)
🟢start_task(request, agent, answers)
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.
输入模式
{
"type": "object",
"properties": {
"request": {
"type": "string",
"description": "The user’s request, in their words."
},
"agent": {
"type": "string",
"description": "The agent and product doing the work, for example \"Claude Code\" or \"Codex\"."
},
"answers": {
"type": "object",
"description": "Answers keyed by question id. `from` is \"user\" when the user answered when asked, or \"request\" when the user had already said it (then `quote` holds their words).",
"properties": {
"country": {
"type": "object",
"description": "In which country is the work done, and whose law applies?",
"properties": {
"value": {
"type": "string",
"enum": [
"AU",
"NZ",
"US",
"UK",
"UK-SCT",
"UK-NI",
"other"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"state": {
"type": "object",
"description": "In Australia: which state or territory? Outside Australia, choose not applicable.",
"properties": {
"value": {
"type": "string",
"enum": [
"NSW",
"VIC",
"QLD",
"WA",
"SA",
"TAS",
"ACT",
"NT",
"CTH",
"several",
"not_applicable",
"unsure"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"output": {
"type": "object",
"description": "What exactly is being produced, and what must it be right about?",
"properties": {
"value": {
"type": "string"
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"purpose": {
"type": "object",
"description": "Who will rely on it, and for what decision or step?",
"properties": {
"value": {
"type": "string"
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"leaves_firm": {
"type": "object",
"description": "Will it leave the firm — to a client, another party, a court or a regulator?",
"properties": {
"value": {
"type": "string",
"enum": [
"yes",
"no",
"unsure"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"substantive": {
"type": "object",
"description": "Is it substantive legal work, or procedural or internal?",
"properties": {
"value": {
"type": "string",
"enum": [
"substantive",
"procedural_internal",
"unsure"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"jurisdiction": {
"type": "object",
"description": "Which court, tribunal or regulator (if any) will receive it? Say \"none\" if it stays with the firm and the client.",
"properties": {
"value": {
"type": "string"
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"sworn": {
"type": "object",
"description": "Is any part sworn, affirmed or certified — an affidavit, witness statement or statutory declaration?",
"properties": {
"value": {
"type": "string",
"enum": [
"yes",
"no",
"unsure"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"ai_restriction": {
"type": "object",
"description": "Does any court rule, client instruction or firm policy restrict AI use on this matter?",
"properties": {
"value": {
"type": "string",
"enum": [
"none",
"no_ai_written_content",
"no_ai_at_all",
"unsure"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"information": {
"type": "object",
"description": "What is the most sensitive information the AI will see?",
"properties": {
"value": {
"type": "string",
"enum": [
"public_only",
"confidential",
"personal",
"health",
"unsure"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"sources": {
"type": "object",
"description": "Which sources may be relied on, and are they available to the agent (documents provided, legislation, cases, firm precedents)?",
"properties": {
"value": {
"type": "string"
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"responsible": {
"type": "object",
"description": "Who is the responsible lawyer who will check and approve the output?",
"properties": {
"value": {
"type": "string"
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"junior": {
"type": "object",
"description": "Is the person directing the agent a junior working without supervision?",
"properties": {
"value": {
"type": "string",
"enum": [
"yes",
"no",
"unsure"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"template": {
"type": "object",
"description": "Is there a firm template or playbook for this task that has already been tested with this tool?",
"properties": {
"value": {
"type": "string",
"enum": [
"yes",
"no",
"unsure"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"tool": {
"type": "object",
"description": "Which AI product, plan and settings are in use (for example Claude on a Team plan, or Codex under a ChatGPT Business workspace)?",
"properties": {
"value": {
"type": "string"
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"actions": {
"type": "object",
"description": "In this setup, can the agent send, file or change a system by itself (email, a court portal, the document management system)?",
"properties": {
"value": {
"type": "string",
"enum": [
"yes",
"no",
"unsure"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
}
},
"additionalProperties": false
}
},
"required": [
"request"
]
}🟢record_answers(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.
输入模式
{
"type": "object",
"properties": {
"record": {
"type": "string",
"description": "The `record` string the previous workflow tool returned, passed back unchanged."
},
"answers": {
"type": "object",
"description": "Answers keyed by question id. `from` is \"user\" when the user answered when asked, or \"request\" when the user had already said it (then `quote` holds their words).",
"properties": {
"country": {
"type": "object",
"description": "In which country is the work done, and whose law applies?",
"properties": {
"value": {
"type": "string",
"enum": [
"AU",
"NZ",
"US",
"UK",
"UK-SCT",
"UK-NI",
"other"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"state": {
"type": "object",
"description": "In Australia: which state or territory? Outside Australia, choose not applicable.",
"properties": {
"value": {
"type": "string",
"enum": [
"NSW",
"VIC",
"QLD",
"WA",
"SA",
"TAS",
"ACT",
"NT",
"CTH",
"several",
"not_applicable",
"unsure"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"output": {
"type": "object",
"description": "What exactly is being produced, and what must it be right about?",
"properties": {
"value": {
"type": "string"
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"purpose": {
"type": "object",
"description": "Who will rely on it, and for what decision or step?",
"properties": {
"value": {
"type": "string"
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"leaves_firm": {
"type": "object",
"description": "Will it leave the firm — to a client, another party, a court or a regulator?",
"properties": {
"value": {
"type": "string",
"enum": [
"yes",
"no",
"unsure"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"substantive": {
"type": "object",
"description": "Is it substantive legal work, or procedural or internal?",
"properties": {
"value": {
"type": "string",
"enum": [
"substantive",
"procedural_internal",
"unsure"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"jurisdiction": {
"type": "object",
"description": "Which court, tribunal or regulator (if any) will receive it? Say \"none\" if it stays with the firm and the client.",
"properties": {
"value": {
"type": "string"
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"sworn": {
"type": "object",
"description": "Is any part sworn, affirmed or certified — an affidavit, witness statement or statutory declaration?",
"properties": {
"value": {
"type": "string",
"enum": [
"yes",
"no",
"unsure"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"ai_restriction": {
"type": "object",
"description": "Does any court rule, client instruction or firm policy restrict AI use on this matter?",
"properties": {
"value": {
"type": "string",
"enum": [
"none",
"no_ai_written_content",
"no_ai_at_all",
"unsure"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"information": {
"type": "object",
"description": "What is the most sensitive information the AI will see?",
"properties": {
"value": {
"type": "string",
"enum": [
"public_only",
"confidential",
"personal",
"health",
"unsure"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"sources": {
"type": "object",
"description": "Which sources may be relied on, and are they available to the agent (documents provided, legislation, cases, firm precedents)?",
"properties": {
"value": {
"type": "string"
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"responsible": {
"type": "object",
"description": "Who is the responsible lawyer who will check and approve the output?",
"properties": {
"value": {
"type": "string"
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"junior": {
"type": "object",
"description": "Is the person directing the agent a junior working without supervision?",
"properties": {
"value": {
"type": "string",
"enum": [
"yes",
"no",
"unsure"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"template": {
"type": "object",
"description": "Is there a firm template or playbook for this task that has already been tested with this tool?",
"properties": {
"value": {
"type": "string",
"enum": [
"yes",
"no",
"unsure"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"tool": {
"type": "object",
"description": "Which AI product, plan and settings are in use (for example Claude on a Team plan, or Codex under a ChatGPT Business workspace)?",
"properties": {
"value": {
"type": "string"
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
},
"actions": {
"type": "object",
"description": "In this setup, can the agent send, file or change a system by itself (email, a court portal, the document management system)?",
"properties": {
"value": {
"type": "string",
"enum": [
"yes",
"no",
"unsure"
]
},
"from": {
"type": "string",
"enum": [
"user",
"request"
]
},
"quote": {
"type": "string",
"description": "The user’s own words, when `from` is \"request\"."
},
"detail": {
"type": "string",
"description": "Anything the user added."
}
},
"required": [
"value",
"from"
]
}
},
"additionalProperties": false
}
},
"required": [
"record",
"answers"
]
}🟢record_research(record, findings)
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.
输入模式
{
"type": "object",
"properties": {
"record": {
"type": "string",
"description": "The `record` string the previous workflow tool returned, passed back unchanged."
},
"findings": {
"type": "array",
"maxItems": 20,
"items": {
"type": "object",
"properties": {
"item": {
"type": "string",
"enum": [
"framework_guidance",
"forum_rules",
"current_law",
"tool_terms",
"capability_evidence"
]
},
"control": {
"type": "string",
"description": "For tool_terms: the control id this finding answers."
},
"status": {
"type": "string",
"enum": [
"confirmed",
"public_claim",
"not_confirmed",
"fails"
]
},
"summary": {
"type": "string"
},
"source_url": {
"type": "string",
"description": "https:// address of the source read."
},
"source_title": {
"type": "string"
},
"quote": {
"type": "string",
"description": "The passage relied on."
},
"accessed": {
"type": "string",
"description": "Date read, YYYY-MM-DD."
},
"effect": {
"type": "string",
"enum": [
"none",
"conditions",
"no_ai_written_content",
"no_ai_at_all"
],
"description": "For forum_rules: what the rule requires."
},
"searches": {
"type": "array",
"items": {
"type": "string"
},
"description": "For not_confirmed: where you looked and what you searched for."
}
},
"required": [
"item",
"status",
"summary"
]
}
}
},
"required": [
"record",
"findings"
]
}🟢assess_and_decide(record, option_name, adoption, efficiency, governance, ...)
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.
输入模式
{
"type": "object",
"properties": {
"record": {
"type": "string",
"description": "The `record` string the previous workflow tool returned, passed back unchanged."
},
"option_name": {
"type": "string",
"description": "The AI option as configured, for example \"Claude Code on a Team plan\"."
},
"adoption": {
"type": "object",
"description": "Adoption feasibility: the anchor that is true for this option on this task.",
"properties": {
"score": {
"type": "integer",
"minimum": 1,
"maximum": 5
},
"reason": {
"type": "string"
},
"sub_conditions": {
"type": "array",
"items": {
"type": "string",
"enum": [
"A1",
"A2",
"A3",
"A4",
"A5",
"A6"
]
}
}
},
"required": [
"score",
"reason"
]
},
"efficiency": {
"type": "object",
"description": "Efficiency likelihood: the anchor that is true for this option on this task.",
"properties": {
"score": {
"type": "integer",
"minimum": 1,
"maximum": 5
},
"reason": {
"type": "string"
},
"sub_conditions": {
"type": "array",
"items": {
"type": "string",
"enum": [
"E1",
"E2",
"E3",
"E4",
"E5",
"E6"
]
}
}
},
"required": [
"score",
"reason"
]
},
"governance": {
"type": "object",
"description": "Governance suitability: the anchor that is true for this option on this task.",
"properties": {
"score": {
"type": "integer",
"minimum": 1,
"maximum": 5
},
"reason": {
"type": "string"
},
"sub_conditions": {
"type": "array",
"items": {
"type": "string",
"enum": [
"G1",
"G2",
"G3",
"G4",
"G5",
"G6",
"G7",
"G8",
"G9",
"G10"
]
}
}
},
"required": [
"score",
"reason"
]
},
"efficiency_confidence": {
"type": "string",
"enum": [
"low",
"moderate"
]
},
"conditions": {
"type": "object",
"description": "A recorded condition that removes the cause of a 2 on adoption or efficiency.",
"properties": {
"adoption": {
"type": "string"
},
"efficiency": {
"type": "string"
}
}
},
"outstanding": {
"type": "boolean",
"description": "True when a document, setting or check is still outstanding."
}
},
"required": [
"record",
"option_name",
"adoption",
"efficiency",
"governance"
]
}🟢plan_human_work(record)
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.
输入模式
{
"type": "object",
"properties": {
"record": {
"type": "string",
"description": "The `record` string the previous workflow tool returned, passed back unchanged."
}
},
"required": [
"record"
]
}🟢work_record(record, output, agent_did, check_points, lawyer_checkpoints, ...)
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.
输入模式
{
"type": "object",
"properties": {
"record": {
"type": "string",
"description": "The `record` string the previous workflow tool returned, passed back unchanged."
},
"output": {
"type": "object",
"properties": {
"title": {
"type": "string"
},
"version": {
"type": "string"
}
},
"required": [
"title"
]
},
"agent_did": {
"type": "array",
"maxItems": 20,
"items": {
"type": "string"
},
"description": "What the AI did, one line per stage worked on."
},
"check_points": {
"type": "array",
"maxItems": 80,
"items": {
"type": "object",
"properties": {
"point": {
"type": "string"
},
"source": {
"type": "string"
}
},
"required": [
"point"
]
},
"description": "Each high-risk point to check against its document: dates, figures, key advice."
},
"lawyer_checkpoints": {
"type": "array",
"maxItems": 30,
"items": {
"type": "string"
},
"description": "The task’s review points from get_task_guidance."
},
"notes": {
"type": "string"
}
},
"required": [
"record",
"output"
]
}🟢search_library(query, kind, limit)
Searches the framework’s published practice areas, tasks, jurisdiction versions, jurisdictions, firm-wide obligations and software profiles. Returns titles, ids and ailawframework.com links.
输入模式
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Words describing the task, area, jurisdiction or product."
},
"kind": {
"type": "string",
"enum": [
"task",
"task-version",
"practice-area",
"obligation",
"jurisdiction",
"software"
]
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 25
}
},
"required": [
"query"
]
}🟢get_task_guidance(task_id, jurisdiction)
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.
输入模式
{
"type": "object",
"properties": {
"task_id": {
"type": "string",
"description": "The task id from search_library, for example \"A1-A20260923-1\"."
},
"jurisdiction": {
"type": "string",
"description": "Optional jurisdiction id or slug, for example \"NSW\", to include that version."
}
},
"required": [
"task_id"
]
}🟢get_jurisdiction_guidance(jurisdiction, forum, document_type, task, court, ...)
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.
输入模式
{
"type": "object",
"properties": {
"jurisdiction": {
"type": "string",
"description": "A jurisdiction id or slug, for example \"NSW\", \"VIC\", \"new-zealand\"."
},
"forum": {
"type": "string",
"description": "A forum code such as \"ncat\", \"federal-court\" or \"vcat\". Omit it to be asked which court applies."
},
"document_type": {
"type": "string",
"description": "affidavit, witness-statement, expert-report, submissions, pleadings, contract or chronology."
},
"task": {
"type": "string",
"description": "What the work is, in a short phrase. Used to recognise the document and the subject."
},
"court": {
"type": "string",
"enum": [
"yes",
"no"
],
"description": "no when no court or tribunal is involved."
},
"audience": {
"type": "string",
"enum": [
"lawyer",
"barrister",
"litigant",
"judicial"
]
},
"personal_information": {
"type": "boolean",
"description": "True when the work puts personal information into an AI product."
}
},
"required": [
"jurisdiction"
]
}🟢get_software_profile(product, controls)
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.
输入模式
{
"type": "object",
"properties": {
"product": {
"type": "string",
"description": "A profile id from search_library, or a product name such as \"Claude Team\"."
},
"controls": {
"type": "array",
"maxItems": 20,
"items": {
"type": "string"
},
"description": "Optional control ids, such as \"trainingUse\" or \"inferenceRegion\", to return only those considerations."
}
},
"required": [
"product"
]
}🟢search_precedents(query, area, limit)
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.
输入模式
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Words to search for, 2 to 200 characters."
},
"area": {
"type": "string",
"description": "Optional practice area id, for example \"A1\"."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 25
}
},
"required": [
"query"
]
}🟢get_precedent(precedent_id)
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.
输入模式
{
"type": "object",
"properties": {
"precedent_id": {
"type": "string",
"description": "The precedent id from search_precedents."
}
},
"required": [
"precedent_id"
]
}🟢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.
输入模式
{
"type": "object",
"properties": {}
}🟢get_framework(part)
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.
输入模式
{
"type": "object",
"properties": {
"part": {
"type": "string",
"enum": [
"all",
"steps",
"pillars",
"decision",
"levels",
"stages",
"rules"
]
}
}
}社区
证据