Datasets:
license: cc0-1.0
language:
- en
task_categories:
- text-retrieval
- tabular-classification
size_categories:
- 10M<n<100M
pretty_name: US Dockets (case metadata)
tags:
- legal
- law
- dockets
- us-courts
- pacer
- recap
- court-records
- public-domain
- legal-nlp
- legal-research
configs:
- config_name: all
data_files: data/*/*.jsonl.gz
default: true
- config_name: federal-district
data_files: data/federal-district/*.jsonl.gz
- config_name: federal-appellate
data_files: data/federal-appellate/*.jsonl.gz
- config_name: federal-bankruptcy
data_files: data/federal-bankruptcy/*.jsonl.gz
- config_name: federal-special
data_files: data/federal-special/*.jsonl.gz
- config_name: scotus
data_files: data/scotus/*.jsonl.gz
- config_name: state
data_files: data/state/*.jsonl.gz
- config_name: territorial
data_files: data/territorial/*.jsonl.gz
- config_name: tribal
data_files: data/tribal/*.jsonl.gz
- config_name: other
data_files: data/other/*.jsonl.gz
dataset_info:
- config_name: all
features:
- name: id
dtype: string
- name: doc_type
dtype: string
- name: jurisdiction
dtype: string
- name: court
dtype: string
- name: court_id
dtype: string
- name: tier
dtype: string
- name: title
dtype: string
- name: docket_number
dtype: string
- name: date_filed
dtype: string
- name: date_terminated
dtype: string
- name: cause
dtype: string
- name: nature_of_suit
dtype: string
- name: assigned_to
dtype: string
- name: source
dtype: string
- name: license
dtype: string
- name: retrieved_at
dtype: string
- name: extra
dtype: string
- config_name: federal-district
features:
- name: id
dtype: string
- name: doc_type
dtype: string
- name: jurisdiction
dtype: string
- name: court
dtype: string
- name: court_id
dtype: string
- name: tier
dtype: string
- name: title
dtype: string
- name: docket_number
dtype: string
- name: date_filed
dtype: string
- name: date_terminated
dtype: string
- name: cause
dtype: string
- name: nature_of_suit
dtype: string
- name: assigned_to
dtype: string
- name: source
dtype: string
- name: license
dtype: string
- name: retrieved_at
dtype: string
- name: extra
dtype: string
- config_name: federal-appellate
features:
- name: id
dtype: string
- name: doc_type
dtype: string
- name: jurisdiction
dtype: string
- name: court
dtype: string
- name: court_id
dtype: string
- name: tier
dtype: string
- name: title
dtype: string
- name: docket_number
dtype: string
- name: date_filed
dtype: string
- name: date_terminated
dtype: string
- name: cause
dtype: string
- name: nature_of_suit
dtype: string
- name: assigned_to
dtype: string
- name: source
dtype: string
- name: license
dtype: string
- name: retrieved_at
dtype: string
- name: extra
dtype: string
- config_name: federal-bankruptcy
features:
- name: id
dtype: string
- name: doc_type
dtype: string
- name: jurisdiction
dtype: string
- name: court
dtype: string
- name: court_id
dtype: string
- name: tier
dtype: string
- name: title
dtype: string
- name: docket_number
dtype: string
- name: date_filed
dtype: string
- name: date_terminated
dtype: string
- name: cause
dtype: string
- name: nature_of_suit
dtype: string
- name: assigned_to
dtype: string
- name: source
dtype: string
- name: license
dtype: string
- name: retrieved_at
dtype: string
- name: extra
dtype: string
- config_name: federal-special
features:
- name: id
dtype: string
- name: doc_type
dtype: string
- name: jurisdiction
dtype: string
- name: court
dtype: string
- name: court_id
dtype: string
- name: tier
dtype: string
- name: title
dtype: string
- name: docket_number
dtype: string
- name: date_filed
dtype: string
- name: date_terminated
dtype: string
- name: cause
dtype: string
- name: nature_of_suit
dtype: string
- name: assigned_to
dtype: string
- name: source
dtype: string
- name: license
dtype: string
- name: retrieved_at
dtype: string
- name: extra
dtype: string
- config_name: scotus
features:
- name: id
dtype: string
- name: doc_type
dtype: string
- name: jurisdiction
dtype: string
- name: court
dtype: string
- name: court_id
dtype: string
- name: tier
dtype: string
- name: title
dtype: string
- name: docket_number
dtype: string
- name: date_filed
dtype: string
- name: date_terminated
dtype: string
- name: cause
dtype: string
- name: nature_of_suit
dtype: string
- name: assigned_to
dtype: string
- name: source
dtype: string
- name: license
dtype: string
- name: retrieved_at
dtype: string
- name: extra
dtype: string
- config_name: state
features:
- name: id
dtype: string
- name: doc_type
dtype: string
- name: jurisdiction
dtype: string
- name: court
dtype: string
- name: court_id
dtype: string
- name: tier
dtype: string
- name: title
dtype: string
- name: docket_number
dtype: string
- name: date_filed
dtype: string
- name: date_terminated
dtype: string
- name: cause
dtype: string
- name: nature_of_suit
dtype: string
- name: assigned_to
dtype: string
- name: source
dtype: string
- name: license
dtype: string
- name: retrieved_at
dtype: string
- name: extra
dtype: string
- config_name: territorial
features:
- name: id
dtype: string
- name: doc_type
dtype: string
- name: jurisdiction
dtype: string
- name: court
dtype: string
- name: court_id
dtype: string
- name: tier
dtype: string
- name: title
dtype: string
- name: docket_number
dtype: string
- name: date_filed
dtype: string
- name: date_terminated
dtype: string
- name: cause
dtype: string
- name: nature_of_suit
dtype: string
- name: assigned_to
dtype: string
- name: source
dtype: string
- name: license
dtype: string
- name: retrieved_at
dtype: string
- name: extra
dtype: string
- config_name: tribal
features:
- name: id
dtype: string
- name: doc_type
dtype: string
- name: jurisdiction
dtype: string
- name: court
dtype: string
- name: court_id
dtype: string
- name: tier
dtype: string
- name: title
dtype: string
- name: docket_number
dtype: string
- name: date_filed
dtype: string
- name: date_terminated
dtype: string
- name: cause
dtype: string
- name: nature_of_suit
dtype: string
- name: assigned_to
dtype: string
- name: source
dtype: string
- name: license
dtype: string
- name: retrieved_at
dtype: string
- name: extra
dtype: string
- config_name: other
features:
- name: id
dtype: string
- name: doc_type
dtype: string
- name: jurisdiction
dtype: string
- name: court
dtype: string
- name: court_id
dtype: string
- name: tier
dtype: string
- name: title
dtype: string
- name: docket_number
dtype: string
- name: date_filed
dtype: string
- name: date_terminated
dtype: string
- name: cause
dtype: string
- name: nature_of_suit
dtype: string
- name: assigned_to
dtype: string
- name: source
dtype: string
- name: license
dtype: string
- name: retrieved_at
dtype: string
- name: extra
dtype: string
US Dockets — the case-level record
Code & tools: github.com/docketx — legal-scrambler pseudonymises a case file on your own hardware before a frontier model sees it; claude-for-legal is the Claude Code plugin (
docketx-open-law) that loads these datasets and checks citations against them.
34,290,148 docket records from 2,289 U.S. courts: the case, the court, the number, the dates, the judge. This is the index of American litigation — what was filed, where, when and by whom it was decided.
Source & credit — Free Law Project / CourtListener
Every docket in this dataset comes from the Free Law Project / CourtListener bulk export of 2026-06-30. CourtListener gathered, cleaned, deduplicated and published that record; Free Law Project — the 501(c)(3) non-profit behind it, building free public access to American law since 2010 — pays for it. We reshaped and sharded; they did the hard part. Go to the source: https://www.courtlistener.com.
Free Law Project is a non-profit, and it is worth supporting: https://free.law/donate/. If this data is useful to you, credit Free Law Project and CourtListener too, and consider going straight to the source: CourtListener runs its own API and MCP server.
What a docket row IS — and what it is NOT
A docket row is metadata about a case. Case name, court, docket number, filing date, termination date, cause of action, nature of suit, assigned judge, and the CourtListener URL for the case.
A docket row is NOT the filings. There are no complaints, no motions, no briefs, no orders, no exhibits, no opinions here. In the federal courts those documents live behind PACER, which charges per page; the RECAP Archive at CourtListener holds the subset that users have paid for and donated. Nobody has them all — not Free Law Project, not us, not any commercial vendor. Anyone who tells you their corpus contains "all court filings" is describing something that does not exist.
A docket is not a "case" in the sense a citation is. One dispute can carry several dockets (trial,
appeal, consolidated, MDL member cases), and a docket can be opened and closed without producing a
single published decision. Do not quote a docket count as a count of cases, of lawsuits, or of
decisions. For decisions, use docketx/us-caselaw.
A docket row is not the whole docket sheet. The chronological list of entries — "12/03 Motion to dismiss filed" — is a separate CourtListener table and is not in this dataset.
Privacy — what we removed, and why
Docket metadata names private individuals. CourtListener carries a blocked flag on each docket,
which it sets when the record should be kept out of search-engine indexes; in this export the flag is
applied at scale to consumer bankruptcy, where the party is an ordinary person and the subject is
their insolvency.
We excluded every blocked docket: 37,369,473 rows. Publishing them here — in a
dataset that is indexed, bulk-downloadable and read by model trainers — would defeat exactly the
protection the source applied. They are not hidden: they remain in Free Law Project's own bulk export
and on CourtListener, for anyone with a reason to have them.
| tier | blocked rows excluded |
|---|---|
federal-bankruptcy |
36,838,967 |
federal-appellate |
254,144 |
state |
253,356 |
federal-special |
15,838 |
federal-district |
5,631 |
other |
1,525 |
scotus |
10 |
territorial |
2 |
We checked every column of the source table for fields that should not be redistributed. There are
no Social Security numbers, dates of birth, addresses or juvenile-matter markers in the schema; the
only privacy control the source carries is the blocked flag described above, and we honoured it. We
also dropped CourtListener's internal operational columns (view_count, Internet Archive upload paths
and retry counters, index timestamps), which say nothing about the case.
Malformed rows at source
18,026 rows of the source CSV carry an unescaped " inside a text field, which
shifts every following column — a party's mailing address lands in the docket-number column, and so on.
We detected these by an impossible court_id — values like f, 1988, 0, Inc. — and dropped
them rather than publish shifted values. They are not in any config and not in this repo: because the
shift also scrambles the blocked column, we cannot tell which of them the source had marked private,
so they are excluded on that ground too. The check is reproducible from the source export: a row whose
court_id is absent from courts-2026-06-30.csv.bz2 is one of these.
Composition — measured, per tier
| tier | config | dockets | courts |
|---|---|---|---|
| U.S. District Courts | federal-district |
23,795,525 | 124 |
| U.S. Courts of Appeals | federal-appellate |
1,341,708 | 112 |
| U.S. Bankruptcy Courts | federal-bankruptcy |
27,619 | 100 |
| Federal special courts (Claims, CIT, Tax, Vet. App., FISC …) | federal-special |
1,605,763 | 34 |
| Supreme Court of the United States | scotus |
589,547 | 1 |
| State courts (supreme, appellate, trial, special) | state |
6,841,279 | 1,843 |
| U.S. territories | territorial |
63,006 | 14 |
| Tribal courts | tribal |
2,138 | 42 |
| Military, international and committee dockets | other |
23,563 | 19 |
| total | all |
34,290,148 | 2,289 |
Every number on this page was counted from the files in data/ — none is estimated, and none is taken
from any upstream total. Read from the source export: 71,677,647 rows.
The record is federal-heavy, and that is a property of the world, not of this dataset: PACER gives CourtListener a machine-readable feed for every federal court, while most state trial courts publish no bulk docket data at all. A state absent from a count is one with no open feed, not one withheld.
The viewer, and why two configs preview partially
Hugging Face converts each config to parquet up to a 5 GB in-memory ceiling, measured here rather
than assumed: federal-district stopped at 5,001,023,741 bytes and all at 5,003,462,887. So in the
browser those two show a partial preview — federal-district previews 7,490,694 of its
23,795,525 rows, all previews 7,596,221 of 34,290,148.
Nothing is missing from the data. load_dataset and a plain download read every shard; the cap
applies only to the browsable parquet preview. The other eight configs convert completely, and
every one of their converted row counts matches the count measured on our own files exactly:
state 6,841,279 · federal-special 1,605,763 · federal-appellate 1,341,708 · scotus 589,547 ·
territorial 63,006 · federal-bankruptcy 27,619 · other 23,563 · tribal 2,138.
We kept the tier sharding rather than splitting the federal district courts further, because the
alternatives — by circuit, by state — are not in the source table (CourtListener gives every district
court the same parent_court_id, usdistct), and we do not add facts the source does not carry.
Files are held at about 100 MB each, 40 in total, which is the size the converter handles comfortably.
Format
Rows follow docketx record v1, one docket per line, every column a string:
id, doc_type (docket), jurisdiction, court, court_id, tier, title, docket_number,
date_filed, date_terminated, cause, nature_of_suit, assigned_to, source, license,
retrieved_at, extra.
extra is a JSON string — parse it with json.loads — carrying everything else the source
exposed: the case-name variants, docket_number_core, pacer_case_id, jury demand, MDL status,
appellate fee status, the cert/argument dates, the panel and referral strings, and the
CourtListener judge ids (assigned_to_id, referred_to_id) which join to
docketx/us-judges.
jurisdiction is the two-letter state code for state courts and us for federal ones; use court_id
and court to narrow further (e.g. nysd = District Court, S.D. New York).
Load it
from datasets import load_dataset
ds = load_dataset("docketx/us-dockets") # every tier
fd = load_dataset("docketx/us-dockets", "federal-district") # one tier
tx = ds["train"].filter(lambda r: r["jurisdiction"] == "tx") # one state
Provenance and license
U.S. court records are works of government and carry no copyright (Banks v. Manchester, 128 U.S. 244 (1888); Georgia v. Public.Resource.Org, 590 U.S. 255 (2020)). This packaging is released under CC0 1.0. Source: CourtListener bulk export of 2026-06-30, Free Law Project — https://free.law. This dataset redistributes public-record metadata; it adds no annotation and asserts no rights.
Part of the DocketX open legal corpus, alongside
docketx/us-caselaw (10.8M opinions), docketx/us-judges, docketx/court-rules,
docketx/us-statutes and docketx/oral-arguments-us.