PACER / CourtListener AI skills
PACER / CourtListener AI skills let Bonfire reason over legal research context to summarize opinions, track dockets, and draft memos. AI runs locally on your Windows or Mac using your credentials, no case data routed through a cloud SaaS.
What Bonfire can do in PACER / CourtListener
Real actions from the PACER / CourtListener API that a Bonfire agent can run on your behalf, on-device.
| Action | Resource | Method · Endpoint |
|---|---|---|
| Search case law and dockets | Search | GET /api/rest/v4/search/ |
| List dockets | Dockets | GET /api/rest/v4/dockets/ |
| List docket entries | Docket Entries | GET /api/rest/v4/docket-entries/ |
| List opinions | Opinions | GET /api/rest/v4/opinions/ |
| List opinion clusters | Clusters | GET /api/rest/v4/clusters/ |
| List judges/people | Judges | GET /api/rest/v4/people/ |
| Resolve citations | Citation Lookup | POST /api/rest/v4/citation-lookup/ |
| Fetch PACER document | RECAP Fetch | POST /api/rest/v4/recap-fetch/ |
PACER / CourtListener agents in action
On your machine, not a SaaS
Bonfire Terminal
- Your keys & data stay on your device
- Perpetual license — no per-seat SaaS fee
- Any connected model — Claude, GPT, Gemini or Grok
- Offline Llama for local, private reasoning
- Driven from chat you already use
Cloud AI middleman
- Keys & data pass through a third-party server
- Recurring subscription, usage caps
- Model locked to the vendor
- Yet another dashboard to log into
PACER / CourtListener — questions
Can Bonfire automate PACER / CourtListener?
Yes. Bonfire runs on your machine, holds your PACER / CourtListener credentials locally, and a connected model (Claude, GPT, Gemini or Grok) drives the PACER / CourtListener API to run the actions you ask for in chat.
Does my PACER / CourtListener data go to the cloud?
Bonfire runs on your desktop and keeps your keys local — it isn't a SaaS holding your data. Only the specific request you approve is sent to your chosen AI model.
Which AI models can I use?
Any connected model — Claude, GPT, Gemini or Grok. A fully offline Llama model runs locally for private reasoning but can't reach live APIs.