Best AI models for Lawyers

Re-ranked for legal work — weighted toward reasoning, long-context handling and document analysis, with coding and multimodal weighted down.

·How we rank

Top 10 AI models for Lawyers

01
97.8

GPT-4o

OpenAI

The future of human-computer interaction, now.

Unprecedented multimodal reasoningReal-time voice and vision capabilitiesAdvanced conversational fluency+1 more
Try GPT-4o
Recommended for lawyers: Harvey

Harvey is built on GPT-4o, optimized for legal workflows.

02
96.9

Claude 3 Opus

Anthropic

The most intelligent and capable Claude yet.

Exceptional long-context understandingAdvanced reasoning and analysisHigh accuracy and reliability+1 more
Try Claude 3 Opus
03
95.6

Gemini 1.5 Pro

Google

Massive context window, multimodal intelligence.

Extremely large context window (1M tokenStrong multimodal understandingEfficient performance+1 more
Try Gemini 1.5 Pro
04
94.4

Llama 3 70B

Meta AI

State-of-the-art open foundation models.

Strong performance for its sizeOpen-source accessibilityEfficient fine-tuning+1 more
Try Llama 3 70B
05
93.3

Mistral Large

Mistral AI

High-performance, multilingual, and efficient.

Strong multilingual capabilitiesEfficient inferenceCompetitive reasoning abilities+1 more
Try Mistral Large
06
91.7

Command R+

Cohere

Enterprise-grade RAG and tool use.

Designed for Retrieval-Augmented GeneratStrong tool use capabilitiesEnterprise-focused features+1 more
Try Command R+
09
90.1

Phi-3-mini

Microsoft

Compact yet powerful, optimized for on-device.

Exceptional performance for its sizeOptimized for mobile and edge devicesLower computational cost+1 more
Try Phi-3-mini
10
88.3

Stable Diffusion 3

Stability AI

Next-generation text-to-image generation.

Photorealistic image qualityImproved prompt adherenceMultilingual text rendering in images+1 more
Try Stable Diffusion 3

Why these criteria?

The three weights that move the ranking most for lawyers.

Reasoning (×1.5)

Legal analysis hinges on multi-step argumentation, statutory interpretation and edge-case spotting — raw reasoning quality matters more than anything else.

Long context (×1.4)

Contracts, case files and discovery sets routinely run hundreds of pages; models with large context windows avoid lossy summarisation.

Document analysis (×1.4)

Clause extraction, redlining and citation lookup require precise structured reading — not creative generation.

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