Why Legal LLM Picking Has Its Own Logic
TokenRate's new Compare Prices grid puts every model's per-token rates, context window, and quality score in a single side-by-side view. The point: stop flipping between provider pricing pages and OpenRouter tabs. You pick a provider dropdown, check the models you want, repeat for each provider, and the grid stacks every pick into one comparison table. LLM picking for Legal workloads follows different rules than a generic SaaS chatbot. Legal workloads have unusual quality and context-length requirements. A model that's great for general production may fail on long contract analysis or case law synthesis. The Compare Prices grid is the right starting point because it puts the cost-quality-context tradeoff on one screen — the three dimensions that Legal teams care about. Related reading: quality per dollar LLM ranking 2026, LLM color-coded quality badges explained, and why the cheapest LLM isn't always the best value.
Legal Workload Characteristics
Long-context document review (contracts 50-200K tokens), structured extraction (clause flags), and reasoning over case law. Quality floor is high (Q 80+ for premium law firms), context windows must fit full contracts. That profile narrows the field of candidate models significantly. In the Compare Prices grid, filter by the quality column first, then by the context window column second, then read the cost columns. For Legal, the typical sweet spot is flagship tier with 200K+ context (Opus 4, GPT-5, Sonnet 4.7) for premium; Sonnet 4.7 for cost-sensitive practice areas.
Top Picks for Legal
**Claude Opus 4** (Anthropic): $15.00 / $75.00, Q85, 200K ctx — customer-facing premium experiences, complex writing/code, low-volume high-value queries where the cost is dwarfed by what the answer is worth. **GPT-5** (OpenAI): $1.25 / $10.00, Q82, 200K ctx — customer-facing premium experiences, complex writing/code, low-volume high-value queries where the cost is dwarfed by what the answer is worth. **Claude Sonnet 4.7** (Anthropic): $3.00 / $15.00, Q80, 200K ctx — production routing default — chatbots, RAG answer synthesis, structured output, anything that ships to real users at scale. Tick all three in /tools/compare-prices for the side-by-side view. The grid shows the Value column for each so the production-default candidate is visible without manual math.
Gotchas Specific to Legal
Legal workloads sometimes trip on the "I'll just pick the flagship" reflex — paying for capability that the workload doesn't actually use. The Compare Prices grid is the antidote: visible tradeoffs make over-paying obvious. For broader cost-control patterns, see token budgeting for production AI apps.
Operationalizing the Pick
Once you've narrowed to a top pick from the Compare Prices grid, run your projected token volume through /tools/api-cost-estimator. For Legal teams, a typical month is 5-50M tokens/month for a mid-size firm, dominated by document length not query count. Both the price denominator (OpenRouter) and the quality numerator (Arena AI + Artificial Analysis) refresh hourly. So the comparison you screenshot Monday morning is still trustworthy at standup Tuesday morning — but you should re-run it before a quarterly model-routing review. Open /tools/compare-prices now, pick your provider dropdowns, and pin the shortlist that matches your workload.