Thomson Reuters CLEAR AI skills
Thomson Reuters CLEAR AI skills let Bonfire package research workflows, from digesting search results to structuring case summaries using CLEAR context. Each skill runs on-device, keeping investigative data private on the machine your team already controls.
How Bonfire works with Thomson Reuters CLEAR
Thomson Reuters CLEAR does not expose a public REST API we can drive directly. Instead Bonfire stores your Thomson Reuters CLEAR credentials and context locally on your machine and surfaces them to your chosen AI model, so an agent can reason over your Investigative research data and draft, summarize, and prepare work — while your data stays on your own hardware.
Thomson Reuters CLEAR 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
Thomson Reuters CLEAR — questions
Can Bonfire automate Thomson Reuters CLEAR?
Yes. Bonfire runs on your machine, holds your Thomson Reuters CLEAR credentials locally, and a connected model (Claude, GPT, Gemini or Grok) drives the Thomson Reuters CLEAR API to run the actions you ask for in chat.
Does my Thomson Reuters CLEAR 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.