Tuesday, May 19, 2026

EvenUp Extends Past Software program with Launch of ‘Pre-Litigation-as-a-Service’ Providing For PI Legislation Corporations

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EvenUp, the private harm AI firm that reached a $2 billion valuation final fall, is making a big shift in its enterprise mannequin – one which extends it past software program vendor to one thing nearer to an outsourced operations associate for PI companies.

The San Francisco-based firm introduced yesterday the launch of what it calls Pre-Litigation as a Service, or PLAAS, together with updates to its AI assistant Companion and a brand new Firmwide Information Base functionality for AI-drafted paperwork.

PLAAS is probably the most notable of the three bulletins. Fairly than layering a device onto current workflows, EvenUp is positioning PLAAS as a basically totally different working mannequin – functioning as an built-in extension of a agency’s pre-litigation group.

It combines purpose-built AI with EvenUp’s personal U.S.-based case administration workers to deal with the complete pre-litigation lifecycle. That lifecycle, in response to the corporate, encompasses

  • Declare setup and investigation.
  • Care coordination and therapy monitoring.
  • Data and payments retrieval.
  • Demand preparation to agency requirements.
  • Settlement negotiation with carriers.
  • Elective lien decision.

The transfer is notable as a result of it bridges the hole between software-as-a-service and managed authorized providers – with the impact, the corporate says, of enhancing case outcomes.

Early outcomes present companies recovering 95% of obtainable third-party coverage limits, requesting medical information 66 days quicker, delivering calls for 47 days quicker, decreasing time a case sits on a desk by as much as three months, and saving roughly $1,000 per case in carrying prices, EvenUp says.

Early testing of the service has already resulted in gross sales of greater than $10 million in PLAAS subscriptions, EvenUp says.

“What excites us most about this launch is that it’s a lot greater than a product launch,” CEO Rami Karabibar mentioned. “We imagine private harm regulation is coming into a brand new period, the place AI will play a way more central function in how companies function, how choices are made, and the way circumstances transfer ahead.”

The corporate additionally offered a testimonial from Glen Lerner, founding associate of Lerner and Rowe, who mentioned the service frees senior workers to give attention to higher-value work.

“Our most important folks have been the most important proponents of PLAAS,” Lerner mentioned. “EvenUp delivers higher case growth and strikes them off the desk sooner, releasing up our greatest folks to get extra worth on our greatest circumstances.’

On the product facet, the up to date Companion AI assistant is designed to behave as a firmwide working heart, permitting groups to floor high-value circumstances, flag dangers corresponding to lacking MRIs or undiagnosed traumatic mind accidents, and prioritize consideration throughout a complete docket. This marks a shift, EvenUp says, from reactive to proactive case administration.

The Firmwide Information Base, in the meantime, goals to use a agency’s personal institutional requirements and drafting preferences robotically throughout AI-generated paperwork.

EvenUp says it’s utilized by 30% of the highest 100 PI companies and processes greater than 10,000 circumstances per week, representing over $14 billion in damages.

EvenUp raised a $150 million Sequence E in October 2025, led by Bessemer Enterprise Companions with participation from REV, the enterprise capital arm of RELX (LexisNexis’s dad or mum firm), bringing its complete capital raised to $385 million.

Whether or not PLAAS represents a genuinely new class or a repackaging of current providers with an AI wrapper will doubtless depend upon how deeply companies combine it and what the outcomes appear like at scale.

The mix of software program and human case managers just isn’t new to the authorized trade, however EvenUp seems to be banking on the idea that AI could make the mannequin materially higher and extra measurable.

“For a very long time, the trade has relied on including extra folks and extra guide processes to maintain up with demand,” Karabibar mentioned. “We imagine there’s a greater path ahead, one the place expertise may help companies function with better consistency, visibility, and confidence throughout each case.



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