Provisions
Data license: Government edicts — not subject to copyright · Data source: nycourts.gov
1 row where doc_id = 64 and topics = "["part-rules", "scheduling-orders", "remote-hearings"]"
This data as json, CSV (advanced)
Suggested facets: topics (array)
topics 1
- ["part-rules", "scheduling-orders", "remote-hearings"] · 1 ✖
judicial_district 1
- 1 1
doc_type 1
county 1
- New York 1
| provision_id ▼ | doc_id | judge_id | rule_number | title | text | source_page | topics | cross_references | judicial_district | county | court_type | doc_type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| NY-SC-1JD-WATERMAN-MARSHALL-P31-001 | Part 31 Rules - IAS Part, New York County 64 | NY-SC-1JD-WATERMAN-MARSHALL | CALENDARS | Calendar Schedule | MOTIONS: Tuesdays, all motion arguments/conferences are in-person unless otherwise directed. DISCOVERY CONFERENCES: Wednesday mornings in-person. Preliminary, Compliance, and Status Conferences: Wednesday afternoons virtual. | ["part-rules", "scheduling-orders", "remote-hearings"] | [] | 1 | New York | supreme | part_rules |
Advanced export
JSON shape: default, array, newline-delimited, object
CREATE TABLE provisions (
provision_id TEXT PRIMARY KEY,
doc_id INTEGER REFERENCES documents(doc_id),
judge_id TEXT REFERENCES judges(judge_id),
rule_number TEXT,
title TEXT,
text TEXT,
source_page INTEGER,
topics TEXT,
cross_references TEXT,
judicial_district INTEGER,
county TEXT,
court_type TEXT DEFAULT 'supreme',
doc_type TEXT DEFAULT 'part_rules'
);