Repeat-actor studies
Track landlords, real-estate agencies, employers, providers, public bodies, or institutional litigants that appear repeatedly across tribunal or court lists.
Court monitoring for research and NGOs
Build a defensible record of repeat court patterns.
Argus Delta watches the entities, topics, courts, and tribunals behind a research question, then preserves the source listing and match reason so the dataset can be reviewed, cited, and challenged later.
All sign-ups are reviewed and approved by the Argus Delta team.
The problem
Manual collection breaks when the research question spans months of changing lists.
A rental tribunal study, magistrates court pattern, institutional litigant review, or NGO investigation can depend on hundreds of small observations. Listings move, relist, disappear, or change wording. Screenshots and spreadsheets are brittle when the work needs to stand up to review.
Common checks
Where a research record needs more than screenshots.
Public-interest researchers usually care less about one alert and more about whether observations can be grouped, checked, and defended later.
Rental and consumer tribunal patterns
Structure applicant, respondent, matter type, venue, listing date, and outcome context where the tribunal source and lawful access route support it.
Relistings and procedural churn
Capture adjournments, repeat listings, amendments, withdrawals, and other changes that explain how a matter moved, not just that it existed.
Publication and policy review
Export source-backed observations for peer review, legal checks, publication clearance, policy analysis, or internal accountability.
Relevant public context
Tribunal-pattern work is real, but coverage has to be stated carefully.
Research teams already use tribunal and court data to study repeat actors, evictions, listings, outcomes, and access-to-justice questions. Argus Delta should support that work where the source and lawful access route are available.
Research source
NCAT tenancy snapshot
The Tenants' Union shows how NCAT data can support public transparency on landlord and tenant tribunal applications.
View source Research source
NCAT data-driven insights
The Law and Justice Foundation analysis shows how tenancy applications can be studied by party role, order type, listing path, and outcome.
View source Public source
NSW court and tribunal lists
NSW public court-list material includes courts and selected tribunal divisions, with availability depending on source and list.
View source What we monitor for you
Watchlists shaped around the research question.
Define the actors, venues, topics, and matter types the project is studying. Argus Delta turns ongoing public listings into source-backed observations.
Actors
Repeat actors and institutions
Track landlords, employers, agencies, providers, companies, public bodies, and other named actors over time.
Topics
Matter types and research themes
Follow topic patterns such as rental disputes, wage claims, enforcement matters, regulatory action, or repeat litigation.
Venues
Courts, tribunals, and registries
Monitor supported courts, tribunals, lists, and registries, then filter observations back to the research frame.
Changes
Listing changes over time
Track amended, vacated, relisted, and repeated entries so the dataset reflects what was observed over time.
What an alert looks like
A source-backed observation, not just a notification.
Each alert becomes part of the research record: what matched, why it matched, what the source said at the time, and how it relates to the study.
Watchlist Active
Watched: Repeat-actor study
Research frame Named actors, topic rules, venues, matter types, and project notes attached to the study.
Lawful purpose Each watch is scoped to a research, public-interest, accountability, or policy purpose.
Access Workspace roles control who can add watches, review observations, and export records.
Alert Provenance preserved
Listing matched the study frame
Match reason The alert shows the actor, topic, court, tribunal, matter type, or rule that matched the listing.
Court context Court or tribunal, jurisdiction, listing date, hearing type, party role, and source restrictions are preserved.
Source The original public listing is timestamped at observation so later analysis can trace the record.
Research record Continuous
A dataset that can be reviewed later
Pattern view Aggregate observations by actor, venue, matter type, topic, date range, or jurisdiction.
Changes Relistings, amendments, and removals stay visible as changes in the observation history.
Export Export source-backed records for internal review, publication checks, citation, or policy analysis.
Workflow
Define the study, preserve the observations, review the pattern.
Built for research teams that need longitudinal court data to stay tied to its source context.
01
Define the research frame
Add actors, topics, venues, matter types, jurisdictions, and project notes.
02
Capture observations
Preserve matched listings, relistings, source context, restrictions, and match reasons as they appear.
03
Analyse repeat patterns
Group observations by actor, venue, topic, matter type, date range, or jurisdiction.
04
Review, export, and cite
Export source-backed records for peer review, legal checks, publication, policy work, or internal scrutiny.
Why governance matters
Research needs provenance, not just collection.
A public-interest dataset is only useful if reviewers can understand the source, timing, restrictions, and method behind each observation.
Source-backed records
Each observation keeps the original listing, timestamp, match reason, venue, and project context.
Restriction-aware review
Suppression and restricted-publication flags from the source travel with the record for publication checks.
Study-level access
Roles and audit logs control who can create watches, inspect records, and export datasets.
Method clarity
The record separates observation, matching rule, researcher review, and published conclusion.
Access
Build the court dataset around the research question.
Tell us what actors, topics, venues, and time periods your project needs to observe.
All sign-ups are reviewed and approved by the Argus Delta team.