EvenUp
EvenUp is proactive AI for personal injury firms, automating intake, treatment, demands, negotiation, and litigation across the case lifecycle.
If your firm handles steady personal injury volume, EvenUp attacks the places that bleed money: intake triage, treatment follow-up, and demand quality. The numbers to interrogate in a demo are the reported 75% faster attorney review at Batta Fulkerson, three months saved per case at Lerner & Rowe, and $1,500 in recovered documents per case. Compare it against point tools like CloudLex or CASEpeer, which manage files but don't draft demands or call carriers. Pass if you're a solo or general practice — this is scoped and priced for PI teams, and you won't get your money back at ten cases a month.
Verified 15d ago · liveness 68/100 · cite: rightaichoice.com/tools/evenup
- Personal injury firms handling 50+ cases per month where attorney review time is the bottleneck
- Pre-litigation teams drowning in intake triage, treatment tracking, and demand backlogs
- Litigation-heavy PI practices needing faster discovery, exhibit management, and trial chronologies
- Firms that want data-backed demand valuation from a 250K+ verdict and settlement dataset
- Solo practitioners or small firms with too little case volume to justify enterprise pricing
- General practice firms handling multiple areas of law, since EvenUp is PI-specific
- Attorneys who need published, self-serve pricing before booking a sales call
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Skip EvenUp if your firm runs general practice work or fewer than roughly 50 PI cases a month, or if you need published self-serve pricing before you'll take a sales call.
Pricing is quoted per firm, so your real cost depends on case volume and negotiated scope — budget for a demo and a custom contract rather than a published rate.
EvenUp prices by quote, so it's positioned for established PI firms running meaningful monthly volume rather than solos. At 50+ cases per month the recovered-document and review-time savings can carry the contract; below that, cheaper file-management tools like CloudLex or CASEpeer may cover your needs for far less. Larger firms should compare PLAAS (AI plus case managers) against hiring the equivalent pre-litigation staff.
In short
EvenUp — EvenUp is proactive AI for personal injury firms, automating intake, treatment, demands, negotiation, and litigation across the case lifecycle. Best for Personal injury firms handling 50+ cases per month where attorney review time is the bottleneck, Pre-litigation teams drowning in intake triage, treatment tracking, and demand backlogs, Litigation-heavy PI practices needing faster discovery, exhibit management, and trial chronologies. Contact Sales pricing.
What's new in EvenUp
Checked todayAcross the latest 1 update: 1 launch.
What people actually say about EvenUp — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
29 mentions across 3 sources (Hacker News, Product Hunt, Bluesky) · researched Jul 25, 2026.
Average across the 3 sources that answered — each source counts once, not each post.
- +Automates intake and high-value case spotting from CMS.
- +Automated treatment document recovery saves average $1,500 per case.
- +AI drafting of demands, motions, briefs in firm's tone.
- +One-click demand templates for instant AI or reviewed demands.
- +Negotiation assistant with key defense arguments.
- −Hallucination risks in AI-generated legal content reported.
- −Very few independent user reviews; buzz may outpace reality.
- −No transparent pricing; contact-only model frustrates budget planning.
- −Integrates only with Filevine and Litify, not broader ecosystem.
- −Steep learning curve reported for non tech-savvy legal teams.
- • No public pricing; likely requires annual commitment and setup fees
- • Additional cost for managed services (PLAAS)
Viability Score
How well maintained and how widely used is EvenUp? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- AI intake review that flags high-value cases from your CMS, reviewing 15x more cases in the same time
- AI agents that call carriers to open claims and verify coverage
- Interactive treatment care timeline tracking plaintiff status
- Automated medical document recovery (avg $1,500 added per case)
- AI agents for treatment follow-up saving 150+ hours
- One-click demand drafting in your firm's tone
- Legal-reviewed demand option for complex case types
- Negotiation assistant using a 250K+ verdict and settlement dataset
- Case financials auto-built to visualize treatment spend
- Discovery creation and response drafting grounded in case facts
- Exhibit management with reordering, redaction, and edits
- MedChrons: interactive medical chronologies for trial
- Motion, brief, and jurisdiction filing drafts in firm format
- Line-level verification of every fact, citation, and exhibit in one click
- Communication Agents for proactive client outreach
About EvenUp
EvenUp is an AI platform built specifically for personal injury law firms, covering pre-litigation and litigation in one system. More than 2,000 PI firms use it, and the vendor reports 10,000 cases processed weekly and $10B+ in damages claimed through the platform. It sits on Piai, which EvenUp describes as the largest dataset in personal injury, plus a 250K+ verdict and settlement dataset that feeds demand valuation and negotiation prep. The product spans six stages: Intake reviews every new file in your case management system and surfaces high-value cases fast, with AI agents that open claims and verify coverage by calling carriers; Treatment tracks plaintiff status on an interactive care timeline and recovers roughly $1,500 in missing documents per case on average, with AI agents that save 150+ hours; Demand drafting produces one-click or legal-reviewed demands in your firm's tone, with ICD-coded injuries and quantified pain and suffering; Negotiation builds case financials and anticipates defense arguments; Litigation covers discovery creation and responses grounded in case facts, exhibit management with reordering and redaction, MedChrons interactive medical chronologies, and motion and brief drafting. Across the platform, you can verify every fact, citation, and exhibit in one click with line-level citations, and even review 15x more cases in the same amount of time. PLAAS, EvenUp's Pre-Litigation as a Service, pairs the AI with expert case managers, while Communication Agents handle proactive client outreach. The platform is SOC2-audited and HIPAA-attested. Named customers include Lerner & Rowe (three months saved per case) and Batta Fulkerson (75% faster attorney review). Where point tools like CloudLex or CASEpeer manage case files, EvenUp positions itself as an AI operations layer on top of the work itself. That scope is the appeal and the catch: it suits firms with real PI volume that want to automate intake through trial, not general practices or low-volume shops. Pricing is quoted, so budget conversations start with a demo.
Behind the Verdict
EvenUp's core bet is that the expensive part of a personal injury case isn't storing the file — it's the operational work around it: opening claims, chasing records, valuing demands, building chronologies. That's why the platform ships six stacked stages (Intake, Treatment, Demand, Negotiation, Discovery, Trial) rather than a single chatbot, and why PLAAS pairs the software with human case managers. Strengths: the Piai dataset and the 250K+ verdict and settlement dataset give demand valuation and negotiation a real data backing that a general-purpose model can't replicate. Line-level verification on every fact, citation, and exhibit is the right answer to the hallucination concern that stalls most legal-AI purchases. The carrier-calling agents for claim setup and coverage verification are an unusual capability — most tools stop at document review. Named customer results (Lerner & Rowe saving three months per case, Batta Fulkerson at 75% faster review, Omega Law Group at 3,500 hours saved) are the sort of specifics worth pressing on in reference calls. Weaknesses: pricing is quoted, so you can't evaluate EvenUp against a published rate card without a demo, and the value case depends on volume — the platform is priced for firms running meaningful monthly case counts. The current documented integrations are Filevine and Litify, so firms on other case management systems need to confirm fit before assuming the AI layer will plug in. Adopting EvenUp means changing intake and drafting workflows, which is a change-management project, not a software install; EvenUp's own AI Change Management resources acknowledge this. Where it fits: PI firms at 50+ cases per month where attorney review time is the bottleneck, litigation-heavy practices that want discovery and trial chronologies accelerated, and operations leaders who want AI plus expert case managers via PLAAS rather than AI alone. Where it doesn't: general practice firms, solos without the volume to justify the spend, and anyone who wants to self-serve a price before talking to sales.
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Real-world workflow fit
Concrete scenarios for the personas EvenUp actually fits — and what changes day-one when you adopt it.
New police reports and client calls arrive overnight. EvenUp's Intake reviews every new file in the CMS, surfaces the high-value cases, and AI agents call carriers to open claims and verify coverage before staff arrive.
Outcome: Your team starts the day with a prioritized case list and claim status already confirmed, instead of triaging intake for the first three hours.
Medical records are scattered across providers. You run MedChrons to build an interactive medical chronology, then use discovery drafting and exhibit management with reordering and redaction to assemble the record.
Outcome: The chronology and exhibits are assembled in hours rather than days, and every fact, citation, and exhibit carries line-level verification you can check in one click.
Demand backlogs are slowing settlements. You deploy PLAAS so expert case managers handle intake through demands alongside EvenUp's AI, and enable Communication Agents for proactive client updates.
Outcome: Pre-litigation throughput rises without proportional hiring, and clients get more frequent proactive contact — the pattern behind EvenUp's reported 3-month-per-case savings at Lerner & Rowe.
Use Cases
- Generate a complete demand package — narrative, chronology, damages, exhibits — in 30 minutes from a folder of medical records.
- Score 50 inbound intake calls overnight and surface the three with highest expected value.
- Run an AI agent to chase outstanding medical records from 12 providers without human follow-up.
- Benchmark a new soft-tissue case against 1,000 comparable verdicts in the same venue.
- Draft interrogatories and discovery responses for a complex litigation case in minutes.
- Use AI Playbooks to automate case evaluation and next steps based on firm protocols.
- Deploy Communication Agents to handle client updates and questions, tripling operational capacity.
- Outsource pre-litigation tasks via PLAAS with expert case managers handling intake through demands.
Models Under the Hood
as of 2026-09-14
Limitations
- Pricing is quoted rather than published, so you can't compare EvenUp against peers without scheduling a demo.
- The platform is built specifically for personal injury, so general practice firms with mixed caseloads won't get value from most of it.
- Adopting EvenUp means changing intake and drafting workflows around the AI, which EvenUp itself addresses with AI Change Management resources — a sign that the change is real work.
- The documented integrations are Filevine and Litify, so firms on other case management systems need to confirm connection options before assuming the AI layer plugs into their existing stack.
- Volume matters: the value case assumes enough monthly cases that the recovered-document and review-time savings cover the contract.
as of 2026-09-14
Verification history
We have re-verified EvenUp 19 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 19 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where EvenUp's pricing actually pencils out — and where peers do it cheaper.
EvenUp prices by quote, so it's positioned for established PI firms running meaningful monthly volume rather than solos. At 50+ cases per month the recovered-document and review-time savings can carry the contract; below that, cheaper file-management tools like CloudLex or CASEpeer may cover your needs for far less. Larger firms should compare PLAAS (AI plus case managers) against hiring the equivalent pre-litigation staff.
Setup time & first value
How long it actually takes to get something useful out of EvenUp — broken out by persona, not the marketing-page minute.
EvenUp runs a world-class onboarding team with reps in every US territory, so expect a guided implementation rather than self-serve setup. Firms on Filevine or Litify have the shortest path since those are the documented integrations; firms on other case management systems should scope connection work first. Budget time for workflow change across intake and drafting — EvenUp's AI Change
Switching to or from EvenUp
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From CloudLex: Confirm your case data exports cleanly, then have EvenUp connect via your CMS and run AI Playbooks to replicate case evaluation rules.
- →From CASEpeer: Export open case files, then re-establish intake triage and demand templates in EvenUp using the Template Library and AI Academy.
- →From manual intake and Word-based demands: Move your demand templates into EvenUp's one-click or legal-reviewed demand flow and rebuild intake scoring as AI Playbooks.
- ↗To CloudLex: Export case files and chronologies, and rebuild demand templates outside EvenUp before cancelling.
- ↗To a general-purpose legal AI tool: Expect to lose carrier-calling agents, PLAAS case managers, and the 250K+ verdict dataset, which have no direct equivalent.
Integrations
Resources & Guides
- Guideevenuplaw.com
Guides
In-depth how-to from evenuplaw.com
- Resourceevenuplaw.com
The EvenUp Blog
Get the latest personal injury firm insights, thought leadership, best practices, and news to run your practice better.
- Resourceevenuplaw.com
Webinars
In-Depth Conversations with Personal Injury Leaders and the EvenUp Team
- Resourceevenuplaw.com
Resources
Helpful link from evenuplaw.com
Tutorials & Learning
YouTube returned 6 videos for “EvenUp”, and we withheld 6: 6 could not be judged, because “EvenUp” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about EvenUp.
Official links
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Common stack mates teams adopt alongside EvenUp, with the specific reason each pairing earns its keep.
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Eve Legal
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Paxton AI
Paxton AI is a legal AI assistant for litigation teams — tied to a matter record, research, and drafting across all 50 states.
Lex Machina
Litigation analytics from LexisNexis that turns federal and state court records into judge-level case strategy.
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