Best for: law firms, in-house legal teams, enterprise legal · Category: legal
The marketing pages for this tool list 50 features. These 15 use cases are the ones that actually matter when you are using it day to day.
Real experience with AI tools
When I first started using AI coding tools — OpenClaw and Hermes Agent — every bug sent me straight to a search engine. I'd paste error messages into Chinese AI models and get back answers that sounded right but didn't work. The suggestions kept piling up. None of them fixed the actual problem.
Then I tried Claude for debugging. The difference wasn't smarter answers — it was better logic. Chinese models would give me a single solution with no explanation. Claude walked through why the error happened, what the fix actually changed, and what I should check if the fix didn't work. That last part saved me the most time.
Chinese AI has improved a lot since then — several generations of models later, the answers are much better. But that experience taught me something: the best AI tool is the one that explains its reasoning, not the one that sounds most confident.
Common use cases
1. Legal research — Harvey AI is widely used for legal research. If you're working in legal, this is one of the most common ways people use it.
2. Draft contracts — Harvey AI is widely used for draft contracts. If you're working in legal, this is one of the most common ways people use it.
3. Due diligence — Harvey AI is widely used for due diligence. If you're working in legal, this is one of the most common ways people use it.
4. Case law analysis — Harvey AI is widely used for case law analysis. If you're working in legal, this is one of the most common ways people use it.
5. Summarize legal docs — Harvey AI is widely used for summarize legal docs. If you're working in legal, this is one of the most common ways people use it.
6. Regulatory compliance — Harvey AI is widely used for regulatory compliance. If you're working in legal, this is one of the most common ways people use it.
Example prompts that work
Copy any of these into Harvey AI and adapt to your context:
Draft an NDA for this transaction
Summarize this regulation
How to get the most out of Harvey AI
Start with the highest-volume task. Pick the use case you'll do most often, and perfect that prompt first.
Build a prompt library. Save your best prompts in a doc. Reuse across team members.
Add context every time. "I'm a [role] doing [task] for [audience]" gets better results than a bare request.
Iterate, don't settle. The first response is rarely the best. Ask for 3 variations and pick.
Combine with another tool. Harvey AI + a search/voice/image tool usually beats either alone.
What Harvey AI is not great at
Real-time information (use a search tool for current data)
Tasks requiring deep domain expertise you don't have
High-stakes decisions without human verification
Anything that needs the latest data from the web
Pricing reality check
Enterprise custom. Typically $1,000+ per lawyer per year.