AI for personal injury firms across the whole case — intake scoring, medical chronologies, demand drafting, negotiation, discovery, and trial prep.
AI / LLM comparison
Pricing, pros, cons, and ideal use cases — side by side.
AI for personal injury firms across the whole case — intake scoring, medical chronologies, demand drafting, negotiation, discovery, and trial prep.
An AI notepad that captures meeting notes from your computer audio without sending a bot into the call.
| EvenUp | Granola | |
|---|---|---|
| Pricing | EnterpriseNot published — demand a written quote after the demo. Pricing in this category is typically per case or per demand package rather than per seat; confirm which, and whether records retrieval is included or billed separately. | FreemiumFree tier includes unlimited meeting notes but retains them for only 30 days. Paid plans unlock full history and team features; specific tier prices are on the pricing page rather than the homepage. |
| Category | AI / LLM | AI / LLM |
| Ideal for | Plaintiff personal injury firms of any sizeMass tort and multi-plaintiff practicesFirms whose paralegal capacity is the bottleneck on demand volumeLitigation teams building chronologies from large medical record sets | Founders and executives in back-to-back meetingsConsultants and client-facing professionalsSales teams who do not want a bot in the roomAnyone taking notes in in-person or phone meetings |
Granola is the lighter-weight option (Freemium), while EvenUp sits higher on the pricing ladder (Enterprise). EvenUp is built around plaintiff personal injury firms of any size; Granola leans more toward founders and executives in back-to-back meetings. Shortlist the one whose strengths line up with your biggest constraint.
Get one AI workflow a week showing AI / LLM in a real stack — what they cost, and where each one breaks.