Model Selection

Claira routes each scan through an AI model you select for the case. The model choice affects latency, cost (tokens), and how the model handles difficult documents. This page explains where to change the model and how to validate the choice before scaling up.

Where to choose the model

Model selection is configured in the Claira Settings area for the active case.

1. Open your case workspace and select the Claira pane.
2. Open the Modes menu and choose Settings.
3. Locate the Model control (or equivalent model picker) and select the model your team should use for scans.

Available models

Claira currently offers two Canadian-resident model tiers, plus an option to connect your own model.

• Claira CA — Fast (Default). The default option. Lower latency and lower token cost. Best for high-volume scans, first-pass coding, and most everyday review tasks. Runs in Canada.
• Claira CA — Smart. A stronger model for complex, ambiguous, or borderline documents (for example, nuanced privilege calls or dense regulatory text). Slower per document and more tokens per scan than Fast, but better at deeper reasoning. Runs in Canada under the same residency guarantees as Fast.
• Bring Your Own Model. Connect your organization's own model deployment. Selecting this opens the setup documentation in a new tab.

Switching between Fast and Smart is a model-name change only — your prompt, fields, and case settings carry over unchanged.

Before you change models mid-review

• Confirm field mappings still match your prompt output. The model does not change your fields, but different models may phrase answers slightly differently. Re-run a small benchmark set after switching.
• Re-test 10–25 documents with Single Review before running a new Bulk Scan.
• Check token usage in the Usage popover if your plan treats models differently.

Model settings (temperature, Top P, reasoning)

After you pick a model, you can tune behavior with Temperature, Top P, and Reasoning level. See Model Settings for defaults and task-based recommendations.

If results change after switching models

1. Run the same prompt on the same benchmark documents you used before the switch.
2. If outputs drift, tighten the prompt (definitions, allowed values, output format) before blaming the model.
3. If only one model fails with Error Codes such as E-AI, try the other available model and contact support if both fail.

Related

• Understanding Results
• Troubleshooting

Need help? Contact us at support@claira.to.