Cheapest AI API for Legal
Find the cheapest AI API for contract review, legal research, and compliance. We ranked 42 models by cost for legal workloads.
Calculate Your Legal AI Cost
Enter your legal workload to see the cheapest models for your use case.
Legal API Cost Ranking
Every model ranked by cost for a typical legal workload: 100 documents/day, 10,000 input / 2,000 output tokens per document.
Top Picks by Firm Size
Strategy: Two-Tier Legal Review Pipeline
Legal work benefits enormously from a two-tier review pipeline โ use budget models for initial triage and extraction, then route high-risk documents to premium models.
This two-tier approach saves 66% compared to using GPT-5 for everything, while maintaining high accuracy on complex contracts. The key is using AI to classify document complexity first, then routing accordingly.
Legal-Specific Considerations
- Accuracy matters more than speed: Legal documents require high precision. A missed clause or incorrect extraction can have serious consequences. Consider premium models for critical contracts.
- Context window is critical: Legal documents are often 50-100+ pages. Models with large context windows (Gemini Flash at 1M, Claude at 200K) handle full contracts without chunking.
- Input-heavy workload: Legal review is 80-95% input tokens (reading documents) with relatively short outputs (findings, summaries). Input price dominates your cost.
- Batch processing: Most legal review is batch (review N documents), not real-time. This means you can optimize by processing during off-peak hours and using async APIs.
- Compliance requirements: Ensure your AI provider meets your jurisdiction's data handling requirements. Some legal work requires on-premise or private cloud deployment.
Find the cheapest model for your legal workload
Enter your document volume and see all 42 models ranked by cost. Free, no signup.
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