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For teams buying AI & LLM vendors

Buy AI vendors with eyes open, not on hype.

AI contracts hide what matters: who trains on your data, what happens when the model is deprecated, who's liable for the output. Benchside profiles the major AI vendors and generates the questions and clauses generic procurement misses.

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The problem

AI contracts shift risk to you

Broad rights to train on your data, liability disclaimers on outputs, and compliance burden on the buyer.

The model you buy isn't the model you keep

Deprecation and behaviour changes aren't governed by a standard uptime SLA.

Generic procurement wasn't built for AI

Model cards, training-data provenance, and explainability aren't on the old checklist.

The evidence

$1.5B

Training-data copyright settlement

A frontier vendor settled the largest copyright payout in US history. Only a third of AI vendors indemnify you for the exposure.

4 months

To burn a full-year AI budget

Token consumption is not a subscription. One enterprise exhausted its annual AI budget a third of the way through the year.

$30,141

Past a $100 alert that never fired

Marketplace billing bypasses standard cost-anomaly detection, so the safeguard you rely on does not cover AI spend.

5-6 wks

Of degraded output, SLA stayed green

Uptime SLAs exclude quality. A model can be 99.99% available while quietly getting worse, with no credits owed.

What you get

  • AI-specific interrogation: data-training rights, deprecation notice, a quality SLA, weight return on exit.
  • Vendor profiles for OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and Google Vertex.
  • EU AI Act and ISO 42001 coverage.
  • Agentic spend ceilings with auto-pause clauses.

For teams buying AI & LLM vendors? Start with one deal.

Your first project is free. No credit card required.

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