Pakistan Case Law
Registry code: e69ecc97c37d3da1
Pakistan Case Law — 232,000+ reported judgments (Supreme Court, Federal Shariat
Court, High Courts and tribunals, 1970 onward) across every subject: criminal, family, property,
- endpoint
- https://pakistancaselaw.com/mcp
- protocol
- http-sse ·2025-06-18
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caselaw_most_cited unknown never probed
List the most-cited (landmark) judgments in the corpus, ranked by how many other cases cite them. A good entry point for the leading authorities on Pakistani law.
{ "type": "object", "$defs": { "Fmt": { "enum": [ "markdown", "json" ], "type": "string", "title": "Fmt" } }, "title": "caselaw_most_citedArguments", "properties": { "limit": { "type": "integer", "title": "Limit", "default": 20, "maximum": 50, "minimum": 1 }, "offset": { "type": "integer", "title": "Offset", "default": 0, "minimum": 0 }, "response_format": { "$ref": "#/$defs/Fmt", "default": "markdown" } } }arguments 33 linescaselaw_search unknown never probed
Full-text search of Pakistani judgments (Supreme Court & High Courts, 1970 onward). Ranking follows how lawyers research: nearness to the legal point decides which cases are returned; among comparably-near cases, more senior court > larger bench > more recent > more cited. Use sort='newest' when you need the current state of the law (later judgments supersede as statutes are amended), or sort='court' for the most authoritative first. Returns ranked cases with id, title, citation, court, year, a snippet, and the public URL. For an exact report citation use caselaw_lookup_citation. To read a case, pass its id to caselaw_get_case.
{ "type": "object", "$defs": { "Fmt": { "enum": [ "markdown", "json" ], "type": "string", "title": "Fmt" } }, "title": "caselaw_searchArguments", "required": [ "query" ], "properties": { "sort": { "type": "string", "title": "Sort", "default": "relevance", "description": "relevance (default: nearest on the point, then court/bench/recency/citations) | newest (latest law first — useful because amendments supersede) | court (most senior court first)" }, "limit": { "type": "integer", "title": "Limit", "default": 20, "maximum": 50, "minimum": 1 }, "query": { "type": "string", "title": "Query", "maxLength": 200, "minLength": 2, "description": "Keywords, e.g. 'bail murder 302' or 'khula dower'" }, "offset": { "type": "integer", "title": "Offset", "default": 0, "minimum": 0 }, "response_format": { "$ref": "#/$defs/Fmt", "default": "markdown" } } }arguments 49 linescaselaw_search_questions unknown never probed
Find judgments by the QUESTION they settle, rather than by words they contain. Every AI summary on this corpus records the questions that judgment actually decides — e.g. "Does delay in lodging the FIR by itself entitle the accused to bail?" This searches those questions, so it matches the shape a legal problem arrives in rather than the vocabulary a 1987 bench happened to use. COVERAGE IS PARTIAL: only some judgments have an AI summary with questions yet (the response's `coverage_note` gives the current live ratio, which keeps growing). An empty result means no *summarised* judgment matched — it does NOT mean no such judgment exists. Fall back to caselaw_search, which covers the whole corpus. The questions are written by an AI reading the judgment. They are a finding aid, not a holding: cite the judgment, never the question. Pass an id to caselaw_get_case to read it.
{ "type": "object", "$defs": { "Fmt": { "enum": [ "markdown", "json" ], "type": "string", "title": "Fmt" } }, "title": "caselaw_search_questionsArguments", "required": [ "query" ], "properties": { "limit": { "type": "integer", "title": "Limit", "default": 20, "maximum": 50, "minimum": 1 }, "query": { "type": "string", "title": "Query", "maxLength": 200, "minLength": 2, "description": "The legal question or its subject, in the words a judgment would use — 'delay in lodging FIR', 'concurrent findings of fact', 'pre-arrest bail murder'" }, "offset": { "type": "integer", "title": "Offset", "default": 0, "minimum": 0 }, "response_format": { "$ref": "#/$defs/Fmt", "default": "markdown" } } }arguments 43 linescaselaw_lookup_citation unknown never probed
Find the judgment(s) at an exact law-report citation. Example: journal='PLD', year=1995, page=34 → PLD 1995 Supreme Court 34. Omit page to list everything reported in that journal+year. Returns the same case shape as caselaw_search.
{ "type": "object", "$defs": { "Fmt": { "enum": [ "markdown", "json" ], "type": "string", "title": "Fmt" } }, "title": "caselaw_lookup_citationArguments", "required": [ "journal", "year" ], "properties": { "page": { "anyOf": [ { "type": "integer", "minimum": 1 }, { "type": "null" } ], "title": "Page", "default": null, "description": "Page/serial number in the report (optional)" }, "year": { "type": "integer", "title": "Year", "maximum": 2100, "minimum": 1900 }, "limit": { "type": "integer", "title": "Limit", "default": 20, "maximum": 50, "minimum": 1 }, "offset": { "type": "integer", "title": "Offset", "default": 0, "minimum": 0 }, "journal": { "type": "string", "title": "Journal", "maxLength": 30, "minLength": 1, "description": "Law-report code, e.g. 'PLD', 'SCMR', 'CLC'" }, "response_format": { "$ref": "#/$defs/Fmt", "default": "markdown" } } }arguments 64 linescaselaw_get_case unknown never probed
Fetch one judgment by id. section='summary' (default) returns metadata + the AI headnote (plain-language summary, the laws/provisions referred, and keyword tags) — read this first to judge relevance cheaply. section='full' additionally returns the judgment body text (capped at ~40,000 chars; the response flags body_truncated/body_chars_total when longer).
{ "type": "object", "$defs": { "Fmt": { "enum": [ "markdown", "json" ], "type": "string", "title": "Fmt" }, "Section": { "enum": [ "summary", "full" ], "type": "string", "title": "Section" } }, "title": "caselaw_get_caseArguments", "required": [ "case_id" ], "properties": { "case_id": { "type": "integer", "title": "Case Id", "minimum": 1, "description": "Numeric judgment id (from a search/lookup/graph result)" }, "section": { "$ref": "#/$defs/Section", "default": "summary", "description": "'summary' = metadata + AI headnote (cheap); 'full' = + judgment text" }, "response_format": { "$ref": "#/$defs/Fmt", "default": "markdown" } } }arguments 42 linescaselaw_get_citations unknown never probed
Walk the citation graph FORWARD: list the in-corpus cases that THIS judgment cites (the precedents it relied on). Combine with caselaw_get_cited_by to traverse precedent backward and forward until a research question is resolved. Most useful on RECENT judgments: a 2024-25 case usually has nobody citing it yet, but its own citation list is a curated map of the established authority on the point.
{ "type": "object", "$defs": { "Fmt": { "enum": [ "markdown", "json" ], "type": "string", "title": "Fmt" } }, "title": "caselaw_get_citationsArguments", "required": [ "case_id" ], "properties": { "limit": { "type": "integer", "title": "Limit", "default": 20, "maximum": 50, "minimum": 1 }, "offset": { "type": "integer", "title": "Offset", "default": 0, "minimum": 0 }, "case_id": { "type": "integer", "title": "Case Id", "minimum": 1, "description": "Numeric judgment id" }, "response_format": { "$ref": "#/$defs/Fmt", "default": "markdown" } } }arguments 42 linescaselaw_get_cited_by unknown never probed
Walk the citation graph BACKWARD: list later cases that cite THIS judgment (how it was subsequently treated — followed, distinguished, relied upon). Returns newest first. Most useful on OLDER or landmark judgments: it shows whether the case is still followed and where the principle has been applied since. A leading case can have hundreds of citing cases.
{ "type": "object", "$defs": { "Fmt": { "enum": [ "markdown", "json" ], "type": "string", "title": "Fmt" } }, "title": "caselaw_get_cited_byArguments", "required": [ "case_id" ], "properties": { "limit": { "type": "integer", "title": "Limit", "default": 20, "maximum": 50, "minimum": 1 }, "offset": { "type": "integer", "title": "Offset", "default": 0, "minimum": 0 }, "case_id": { "type": "integer", "title": "Case Id", "minimum": 1, "description": "Numeric judgment id" }, "response_format": { "$ref": "#/$defs/Fmt", "default": "markdown" } } }arguments 42 lines
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