EvenUp 
EvenUp provides AI-assisted case preparation, medical-record review, demand packages, negotiation support, and pre-litigation operations for personal-injury law firms. Firms should protect privileged and health information, verify every record and citation, monitor jurisdictional requirements, avoid unauthorized legal practice, and retain licensed attorney responsibility.
Starting price Custom pricing
Tool Information
EvenUp provides AI-assisted case preparation, medical-record review, demand packages, negotiation support, and pre-litigation operations for personal-injury law firms. Firms should protect privileged and health information, verify every record and citation, monitor jurisdictional requirements, avoid unauthorized legal practice, and retain licensed attorney responsibility.
Begin with authorized, non-sensitive inputs and a limited test. Configure privacy, access, quality, export, disclosure, evaluation, consent, moderation, security, and spending controls; compare results with authoritative sources and real requirements; correct errors; and keep a responsible person in control before publication, communication, purchases, automation, deployment, or consequential changes.
EvenUp uses sales-led custom pricing. Case volume, products, integrations, services, implementation, support, security, and contract terms determine the quote.
AI output may be inaccurate, generic, biased, incomplete, stale, unsafe, insecure, or misleading. Review privacy, retention, training, copyright, consent, security, renewals, refunds, commercial rights, professional limits, and platform rules, and require qualified human review for legal, health, employment, code, finance, or other high-impact work.
F.A.Q (3)
Pros and Cons
Pros
- Covers personal-injury workflows from intake through treatment; demand; discovery; and trial
- Extracts key information from connected case-management files
- Provides actionable intake summaries for new matters
- Creates interactive treatment and medical-record timelines
- Flags missing documents and treatment gaps
- Drafts demand letters in a firm's preferred tone and template
- Offers instant AI drafts or legal-reviewed demand options
- Uses verdict and settlement data to support damages analysis
- Builds case financials and negotiation-preparation materials
- Drafts discovery requests; responses; motions; briefs; and jurisdictional filings
- Organizes; reorders; redacts; and edits case exhibits
- Answers case questions with line-level citations to source files
- Includes reusable prompt libraries and firmwide knowledge controls
- Automates routine work such as claim setup and carrier communication
- Offers integrations and proactive workflows across a firm's case lifecycle
- Reports SOC 2 Type 2 examination and HIPAA compliance assessment through its Trust Center
Cons
- It is specialized for personal-injury firms rather than general legal practice
- Pricing is sales-led and case-based without public dollar amounts for straightforward comparison
- Marketing outcome and time-savings statistics may not generalize to another firm's cases; jurisdiction; staffing; or workflow
- AI can misread medical records; diagnoses; chronology; causation; liability; damages; or procedural posture
- Line-level citations make checking easier but do not prove that the interpretation is legally or medically correct
- Attorneys remain responsible for every filing; representation; deadline; citation; and professional obligation
- Case files contain health information; identities; financial records; privileged communication; and litigation strategy
- Firms must evaluate client notice; consent; confidentiality; data-processing terms; retention; and cross-border requirements
- A HIPAA assessment or SOC 2 report does not eliminate security incidents or customer configuration risk
- Automated carrier calls and client communications need authorization; recording-law review; escalation; and human monitoring
- Settlement predictions and value signals can reproduce bias in historical claims and verdict data
- ICD coding and pain-and-suffering quantification require medical and legal judgment
- Integration failures or stale case-management data can trigger incorrect proactive actions
- Custom templates and firm knowledge require careful onboarding; permissions; testing; and maintenance
- Dependence on a single platform across the case lifecycle increases switching; outage; export; and vendor-lock-in risk
- Use requires attorney supervision; source verification; audit review; staff training; and compliance with every court and bar rule
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Before you subscribe
- Check the currency, billing period, automatic renewal, usage limits and seats at checkout — prices and promotions change.
- App-store pricing can differ from website pricing by country, device and tax.
- Share only authorised data, and read the provider's encryption, retention and model-training terms first.
- AI output can be incomplete or wrong. Verify facts, citations, calculations and code before you publish or ship.
- Commercial usage rights vary by plan, provider terms and jurisdiction.
- None of these tools replaces a qualified professional for medical, legal or financial decisions.
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