Legal Document Reviewer
Flag key clauses, risks, and obligations
Analyze contracts, NDAs, service agreements, and legal briefs to extract key terms, flag non-standard clauses, identify obligations and deadlines, and summarize risk areas — giving legal teams a head-start on document review.
GPT-6.1 Sol
for 2M tokens a month · 82% input / 18% output
Why this model
For this workload — 2M tokens a month, 82% of them input — it comes to about $6.9 a month, the lowest of the models suggested here. Its 1M-token context window holds long inputs in a single call, which matters for this kind of work.
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Implementation tips
- 1
Build a clause library of your standard acceptable terms and ask the model to compare each contract clause against your standard — this shifts analysis from 'what does this say' to 'how does this differ from what we want', which is far more actionable.
- 2
Always output flagged clauses with their verbatim text quoted: lawyers must verify the source, not trust a paraphrase — including the exact excerpt with page and section reference makes the output legally defensible.
- 3
Use this as a triage tool, not a final opinion: instruct the model to output a risk tier (Pass/Review/Escalate) for each clause, letting junior staff handle 'Pass' items while lawyers focus exclusively on 'Escalate' items.