EvenUp
Proactive AI platform for personal injury firms that drafts, reviews and strengthens cases end to end
By EvenUp · 4.2/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Personal injury law firms with high demand volume and backlogged pre-litigation caseloads
- Plaintiff firms that want faster demand drafting grounded in a large PI verdict and settlement dataset
- Litigation teams drowning in medical record review across thousands of pages per case
- Firms whose case management system holds the case data they want AI to read and act on
- Growing firms that want to scale caseload and settlement value without proportional headcount
Ideal size: 10-200 staff at PI firms people · Established plaintiff firm with a case management system and defined workflows
Not for
- Non-personal-injury practice areas such as corporate, transactional or criminal law
- Defense-side firms and carrier claims organizations
- Very low-volume practices that cannot justify an enterprise, quote-based contract
- Firms that require published per-seat list pricing before a sales conversation
- Teams unwilling to keep attorneys reviewing and approving AI-assisted work product
Value metrics scorecard
Time-to-Value
3-4 weeks with onboarding team
~30 days to first production value
Total Cost of Ownership
On request
Custom, quote-based enterprise pricing; no public rates published. Credit consumption, matter-level usage and usage-based overages are documented for customer billing.
Implementation Friction
3/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published; sold under firm-level agreements
Add-on costs
- Usage-based overages on consumed service credits
Company & support
Who is behind EvenUp, and how your team gets help once it is live.
Market position
Where EvenUp sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- EvenUp
- Ebsta
- Lawmatics
- Fullcast
- CARET Legal
- Goldcast
Add or change companies
Up to 10 companies including EvenUp. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What EvenUp ships in AI, and what it asks of your ecosystem.
AI features shipped
Piai, EvenUp's proprietary personal injury model trained on hundreds of thousands of injury cases, powers demand drafting, medical-record extraction and case valuation from a 250K+ verdict dataset. Outputs are positioned as attorney-supervised, with line-level citations for verification.
Your data & models
- Trains on your data
- Trains on your data
- Runs on
- Not recorded
- AI pricing
- Billed by usage or credits
In your ecosystem
- AI connection
- Not supported
- Model key
- Vendor's key
- AI usage audit
- Basic visibility
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
EvenUp is an AI platform built for plaintiff personal injury law firms, spanning intake, treatment, pre-litigation demands, negotiation, discovery and trial. Its proprietary Piai model, trained on hundreds of thousands of injury cases, extracts case facts from a firm's case management system, drafts documents in the firm's voice and builds demand packages backed by a 250K+ verdict and settlement dataset. The vendor reports 2,000+ US PI firms, including 20% of the Top 100, plus SOC 2 Type 2 and HIPAA attestations. Pricing is quote-based.
Frequently asked questions
What does EvenUp actually do for a personal injury firm?
It applies AI across the case lifecycle: reviewing new files at intake, tracking treatment, drafting demands, supporting negotiation, and handling discovery and trial preparation. The vendor says firms review 15x more cases in the same time, cut 9+ hours of manual work per case and produce demands in minutes using templates plus verdict and settlement data.
How is EvenUp priced, and what will a typical firm pay?
EvenUp does not publish rates; its pricing page carries no plans or figures and the product is sold through a demo and quote. The trust centre's billing guidance refers to credits consumed, effective case pricing, matter-level usage and usage-based overages, so expect a negotiated, usage-driven enterprise contract rather than per-seat list pricing.
Which systems does EvenUp integrate with?
Vendor pages state that Integrations connect casework across platforms and that AI extracts key information from a firm's case management system, but no CMS vendors are named on the pages reviewed. The clearest documented integration is the EvenUp Add-In for Word, distributed through Microsoft AppSource / Microsoft Marketplace.
Is EvenUp secure enough for medical records and privileged case files?
The EvenUp Trust Center states its security and compliance program has been independently assessed through a SOC 2 Type 2 examination and a HIPAA compliance assessment, with CCPA also listed. Controls described include restricted administrative access, unique access IDs, user access reviews, penetration testing, monitoring and documented data retention and deletion.
Does EvenUp use our case data to train its AI models?
The privacy policy states that, as an AI business, EvenUp may use personal information to develop, improve and train its proprietary AI technologies, and it does not describe an opt-out. It does say third-party AI providers are not permitted to use customer personal information to train their models for other customers. Firms should review this with counsel given confidentiality obligations.
How long does implementation take?
The vendor promotes a world-class onboarding team and territory-based representatives but publishes no implementation timeline or mandatory fee, so time-to-value must be confirmed during scoping. Plan for several weeks of setup and workflow configuration before value lands in production.