exhibit.law
AI Disclosure
Last updated 2026-09-19
exhibit.law uses AI to make evidence usable faster: transcribing audio/video, running OCR on documents and images, identifying speakers, and drafting event summaries for your review. This page explains what runs where, and what that means for your case data.
You acknowledge this disclosure when you create an account. The contractual rules for AI outputs and human review are also in the Terms of Service.
How AI is used on exhibit.law
Uploaded media may be processed automatically to extract text, transcribe audio and video, identify speakers, run OCR or vision on documents or images, draft suggested timeline events, and expand zip archives. Those outputs are assistive and remain marked for human review until someone on your team confirms them.
Self-hosted processing options
AI processing may use self-hosted models or third-party providers, depending on the feature and deployment configuration. When a self-hosted configuration is selected, supported processing runs on infrastructure we control and the relevant case content is not sent to a third-party AI provider.
We do not use your case content to train models. Contact us to discuss closed-loop, self-hosted processing options, including supported features and deployment requirements.
Third-party processing options
When a third-party configuration is selected, supported features (such as transcription, OCR, or drafting) may be processed by a third-party AI provider. Only the content needed for the requested function is sent (for example, a transcript request sends the audio or video file, not your whole case).
For OpenAI API / enterprise-tier processing, we use arrangements under which case content is not used to train the provider’s models. Routing is an operator-controlled setting and may occur automatically; you are not asked to approve it feature-by-feature. Contact us to discuss closed-loop, self-hosted processing options, including supported features and deployment requirements.
Current subprocessors for AI processing
Operators that may process case content for AI features:
- Self-hosted AI workers — may process case content for supported features when selected by the deployment configuration. Case content is not used to train models.
- OpenAI (API / enterprise tier) — may process supported features when selected by the deployment configuration, limited to content needed for the job. Under that API data-processing relationship, case content is not used to train the provider’s models.
Why this matters for your case data
Case content on exhibit.law is frequently privileged, confidential, or sensitive (client communications, medical information, information about minors, criminal case materials). Sending that content to any third party — even briefly, even under a no-training agreement — is a disclosure that could be legally relevant to privilege or confidentiality obligations your organization owes to your own clients. That is why we disclose this here rather than folding it silently into general “AI processing” language, and why we ask you to acknowledge it explicitly at signup.
Human review, always
Regardless of which model processes your content, all AI output — transcripts, OCR text, speaker labels, drafted event summaries — is assistive only. It is marked as unreviewed until a person on your team confirms it, and should never be treated as a verified statement of fact about the evidence. See the Terms of Service, “AI outputs and human review,” for the contractual version of this.
Contact
Questions about AI processing: use the contact form at https://exhibit.law/contact.