The setting
's is an AI platform that turns legal and medical case data into structured claims information for personal-injury law firms.
Continuous record intake depends on local identifiers while attorneys need one reliable case record.
The connection must absorb office-specific document conventions without weakening the source trail attorneys rely on.
Who you’d be doing this for
“I found the MRI report in the fax queue after I’d already reviewed the chronology with the client.”
Aleksei Wojcik · Personal-Injury Attorney · a character in this brief
Reviews active matters for demand preparation while medical records continue to arrive from providers.
What is at stake
New medical records are sitting outside active matters because each office uses different identifiers and labels. You must weigh a fast first integration against the evidence trail and exception handling the firm needs to trust it.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- continuous intake vs. reliable matter matching
- office flexibility vs. reusable configuration
- faster go-live vs. source-trail integrity
- automation of routine records vs. visible human exceptions
Why EvenUp
Piai turns incoming legal and medical materials into structured claims intelligence, so a reusable path for new records determines whether firms can keep their matters current.
Written with these in mind
Not your kind of problem? 18 more at EvenUp, or browse every organization.
Where the organization context comes fromThe postings this brief was written from, and the reporting read before it.
The organization context comes from public information. The situation and characters are written for the brief.
Job postings it was written from
Public descriptions of the work at EvenUp. They are listed as sources, not as openings. The lines under a posting are its own words, where it meets this brief.
- Manager, Technical Implementation Services (opens in a new tab)
- Establish clear performance expectations, lead through managers, and develop team members into future leaders while maintaining a high bar for accountability and delivery outcomes.
- Manage vendor and partner relationships relevant to integration infrastructure and tooling.
- Senior Legal Engineer (opens in a new tab)
- Maintain and expand EvenUp's knowledge base and case-specific templates, including firm and state-level customization in partnership with clients, for personal injury claims today and for additional practice areas as we expand into them.
- Senior Product Solutions Manager (opens in a new tab)
- Clear, repeatable implementation playbooks are established, paving the way for future handoffs to the broader Customer Success team.
- Configure Customer Environments: Translate firm Standard Operating Procedures into EvenUp by setting up Smart Workflows, task plans, and document templates.
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.
Where similar work appears
Other live briefs connected to this one, and what connects them.
Similar problems at other organizations
Like this one, each of these turns on crossing a deadline that can't be undone.
Scientists are re-entering approved results and downstream records carry mismatched sample identifiers.
You must weigh a fast integration against preserving the review path scientists and IT rely on.
A fleet's claims integration has 48 disputed driver matches among 180 incidents due today.
You must weigh complete submission against disclosures that cannot be recalled once adjusters receive them.
The same setting, from another role
Each is set around EvenUp’s Piai Claims-Intelligence Platform, written for a different role. They’re separate briefs, not the same scenario.
One practice group at a plaintiff firm is live, but leaders can't see if demand preparation is changing across offices.
You must decide how far a repeatable adoption path can go before attorney source review has to prove expansion is safe.
Treatment events appear out of order in migrated active matters, putting 6,000 files near a committed retirement date.
You must weigh demand continuity against the proof attorneys need before relying on migrated timelines.
Demand staff are bypassing linked records and rebuilding medical timelines by hand.
You must weigh faster adoption against a review routine attorneys will actually trust.
Other problems with a similar purpose
In each of these, as in this one, the aim is to make the background systems nobody sees behave dependably even under heavy, high-volume real-world load.
Eleven of the 18 committed workflows still need manual follow-up to provision accounts or hand over equipment, and hiring dates are fixed.
You have to weigh a faster launch against the risk of wrong access or a dropped handoff.
Deal managers are opening dozens of document views to infer which reviewers are engaged.
You have to weigh a faster deal signal against permission-safe visibility.
Incorrect confirmations are sending patients into clinic callbacks and invalid appointment slots.
You have to weigh rapid restoration against the proof needed before changing a live scheduling workflow.