Noticia Go offers three AI models. Each has strengths depending on your review task. All models work with structured text files and support relevance review, privilege, objective coding, PII identification, and more.
Available Models
Meta LLaMA 3.3 Instruct (70B)
Best for: Fast, consistent tagging; clear-cut classification tasks.
Strengths: Reliable with structured prompts, performs well on binary decisions (e.g., privilege yes/no).
Limitations: Less context-aware on subtle or ambiguous phrasing.
Anthropic Claude 3.7 Sonnet
Best for: Long, nuanced documents; contextual judgment calls.
Strengths: Strong reasoning, context retention, and sensitivity to tone.
Limitations: Slightly slower; may over-explain or hedge responses.
OpenAI o3 Mini
Best for: Lightweight tasks; quick scans; high-volume batch runs.
Strengths: Fast and efficient; works well on simpler extraction or tagging.
Limitations: Limited context depth; may miss edge cases in complex documents.
Task-Based Recommendations
Task | Recommended Model(s) |
---|---|
Relevance | LLaMA or Claude |
Privilege | Claude |
Objective Coding | LLaMA |
PII Identification | LLaMA or o3 Mini (high volume) |
Long, Narrative Review | Claude |
Fast Batch Review | o3 Mini |
In short, use LLaMA for precision and speed, Claude for nuance, and o3 Mini for scale. You can switch models per run to suit the job. While these are not absolute rules/truths, this is a starting point for your understanding and optimal use of these models.
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