Skip to content

Build a law firm's deadline calendar from trigger events with calendar and court-day counting, mail service and court holidays

Exact prompt

# Build a law firm's deadline calendar from trigger events, counting rules, service by mail and court holidays Inputs: `events.csv` (event_id, matter_id, trigger_date, rule_id, service), `rules.json` (each rule's days, direction and counting method) and `court-holidays.json`. Everything is synthetic. `rules.json` and these rules are the record; where `docketing-note.txt` disagrees, the rules win. Rules: - A court day is a date that is not a Saturday, Sunday or court holiday. - calendar counting: start from the trigger date, don't count the trigger day, and count every day; the deadline is the last day counted. If that day is not a court day, move forward to the next court day for an after rule, and back to the previous court day for a before rule. - court_days counting: count only court days (never the trigger day), forward for after rules and backward for before rules; the deadline is the last court day counted. - service mail adds 3 calendar days to an after rule's deadline once it has been computed; if that lands on a day that is not a court day, move forward to the next court day. Service has no effect on before rules. - Each matter's next deadline is its earliest deadline on or after 2026-11-02 (ties: lowest event number); null if it has none. - Write `out/calendar.json`: `{"deadlines": {"<event_id>": "<YYYY-MM-DD>", ...}, "next_by_matter": {"<matter_id>": {"event_id": <id>, "date": "<YYYY-MM-DD>"} or null, ...}}`. ## How this run works - Work on your own: nobody will answer questions in this task, and writing to `ask/` counts against the run. - Write only under `out/`. Create `out/` if it is missing. Inputs are synthetic; don't fetch anything from the network. - Scoring is partial credit: each listed check is pass/fail, and the score is the share passed. Numbers are compared to within 0.005 unless the task says otherwise.

Compute every deadline in a synthetic firm's docket from its trigger events. Calendar-day rules exclude the trigger day and roll forward for after-deadlines but backward for before-deadlines, court-day rules skip weekends and court holidays (including the Thanksgiving pair and Christmas Eve), mail service adds three days to after-deadlines only and rolls again, and each matter's next deadline on or after the review date is picked with ties by event number. A docketing note gets the day-one, roll direction and mail rules wrong. Original benchmark task written for usecaserank.com (not based on a specific public post). Headless, offline run on a reproducible fixture. Each run's notes say how its cost was measured (estimates are marked).

Success criteria: calendar_after before_rules court_days mail_service next_by_matter

Best model for this task so far: Claude Haiku 5.5 (effort default (no --effort flag) · thinking on) (success, $0.0052, 21s).

Run this on another model

All runs (3)

100% pass rate across 3 eligible runs: 3 pass, 0 partial, 0 fail. Partial and failed runs are listed below with everything else.ⓘ

Runs for this use case
ModelCostTimeStep-insⓘAutonomyOutcomeTrustⓘDateCompare
AClaude Opus 5.5default · thinking on$0.1121s0Fully autonomouspassTrust 80%2026-10-24
AClaude Haiku 5.5default · thinking on$0.005221s0Fully autonomouspassTrust 80%2026-10-24
AClaude Sonnet 5.5default · thinking on$0.0613s0Fully autonomouspassTrust 80%2026-10-24

Embed this result

A live badge for this use case. It links back here and updates as new runs are published.

UseCaseRank badge for Build a law firm's deadline calendar from trigger events with calendar and court-day counting, mail service and court holidays

Get new runs and ranking changes weekly

Which models got better or cheaper on real tasks like this one.