Real ChatGPT answer · index seedVvhZrm7n4Q0completeB2B software · AI and automation toolsinformational

Which open source models are currently best suited for fine-tuning on legal contract review tasks with high accuracy requirements?

ChatGPTgpt-62 queries11/1/2026
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The searches the AI actually ran for this prompt.

SEED QUERY
Which open source models are currently best suited for fine-tuning on legal contract review tasks with high accuracy requirements?
2 real searches · 1 real-search pass
best open weight LLM models legal contract review fine tuning Qwen DeepSeek Llama Mistral Gemma 2026 benchmarks long context licensesGoogle ↗
OBSERVEDComparison
legal benchmark contract review LLM benchmark CUAD ContractNLI LegalBench 2025 2026 open modelsGoogle ↗
OBSERVEDComparison

Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.

Query classes

Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.

ChatGPT real searches (2)
Short factOther / navigationalComparison100%ConsequenceReasonDefinitionInstructionYes / no

Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT2 real searches · gpt-6
best open weight LLM models legal contract review fine tuning Qwen DeepSeek Llama Mistral Gemma 2026 benchmarks long context licenses Google ↗
legal benchmark contract review LLM benchmark CUAD ContractNLI LegalBench 2025 2026 open models Google ↗

Queries

2 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
best open weight LLM models legal contract review fine tuning Qwen DeepSeek Llama Mistral Gemma 2026 benchmarks long context licenses
OBSERVED
Google ↗
AI Mode ↗
—Comparison——1x
of 1
legal benchmark contract review LLM benchmark CUAD ContractNLI LegalBench 2025 2026 open models
OBSERVED
Google ↗
AI Mode ↗
—Comparison——1x
of 1