Three negatives make one $2 billion positive
VCs told him "legal AI sucks, AI sucks, personal injury sucks." He heard three negatives and saw one massive, unaddressed market. That gap in judgment is now worth more than $2 billion.
When Rami Karabibar was running corporate development at Waymo, his job was watching how money moved through mobility - and a lot of it moved into personal injury claims. Thousands of them. Each one slow, manual, inefficient, expensive. Attorneys drowning in medical records. Victims waiting years. A $61 billion market running on PDFs, fax machines, and billable hours. He filed the observation away and kept working.
In 2019, he left Waymo and called Raymond Mieszaniec and Saam Mashhad. Between the three of them - a finance-and-engineering mind, an attorney, and someone whose family had lived through a life-altering injury claim - they had the problem mapped from every angle. EvenUp was born in San Francisco, initially funded by investor conviction and the kind of stubbornness that survives hundreds of "no" meetings.
"We lost track, but we had hundreds of meetings with VCs. They kept saying to us: 'What are you doing? Legal AI sucks, AI sucks, personal injury sucks. Those are three negatives.'"- Rami Karabibar, CEO, EvenUp
Karabibar grew up in Canada, earned dual degrees in commerce and engineering at McGill University, added an MBA at Harvard Business School, and then moved through investment banking, private equity at Warburg Pincus, strategic finance at Zoomer, and corporate development at Waymo. His path was conventional finance-to-tech. What was not conventional was the specific problem he decided to solve.
The pitch that no one wanted
Hundreds of VC meetings. Multiple Y Combinator rejections. Three co-founders who kept going. "Legal AI, AI, personal injury" - all three dismissed as dead ends. Then Bain Capital walked into a San Francisco coffee shop in December 2019, met a months-old startup, and saw something different.
first major backing
From demand letters to a Claims Intelligence Platform
EvenUp did not start as a platform. It started with one painful document: the demand letter. In personal injury law, a demand letter is the formal opening of settlement negotiations - an attorney's statement to an insurer that lays out what happened, what it cost the victim, and what the case is worth. Writing one used to require an attorney or paralegal to manually review hundreds of pages of medical records, bills, and treatment notes. EvenUp automated it.
The results were immediate. Attorneys who used EvenUp's AI-generated demand letters saved hours per case. More importantly, the quality improved - no missed diagnoses, no overlooked bills, no inconsistencies that insurers exploit in negotiations. One customer, Wisehart Wright, converted a $50,000 settlement offer into $1.75 million on a single case. Another, Sweet James, achieved $500 million in annual results with 70% year-over-year growth - without adding staff.
The key insight behind EvenUp
Because attorneys can work up cases faster and with better documentation, they can now profitably take cases that would previously have been too small to bother with. That means more injured people get representation. The efficiency gain and the justice gap closure are the same thing.
The demand letter product was the wedge. EvenUp expanded into medical record analysis, case valuation, settlement prediction, and firm performance analytics. It now operates what it calls a Claims Intelligence Platform - powered by its proprietary Piai model trained on a unique dataset: two million pages of anonymized personal injury cases, medical records, and settlement outcomes. No competitor has that data library, and Karabibar intends to keep it that way.
Winner-take-most - and it is Karabibar's game to lose
He is not subtle about the competitive dynamics. "I don't think there's gonna be 100 players in this space. I think it's going to be a winner-take-most dynamic, and ultimately it's our game to lose." The statement is backed by math: 20% of the top 100 U.S. personal injury firms already run on EvenUp. The dataset advantage compounds. The network effects of settlement data strengthen every new valuation. Each new case is training data that no late entrant can easily replicate.
Four fundraising rounds - seed, Series B, Series C/D, and Series E - each preempted by investors before the prior round was even marketed. That is not a coincidence. Bain Capital Ventures, Bessemer Venture Partners, Lightspeed, and B Capital have each returned with bigger checks. When Karabibar returned to Nasdaq in October 2025 to celebrate the $150M Series E, he had doubled EvenUp's valuation from $1 billion to $2 billion in under 12 months.
"Legal AI is no longer a side bet; it's becoming the backbone of personal injury law."- Rami Karabibar, CEO, EvenUp - October 2025
The engineering mind in a lawyer's world
Karabibar's background is not legal. He is a McGill-trained engineer with a Harvard MBA who went into finance and then into corporate development at one of the most technically sophisticated companies in the world. He came to personal injury law as an outsider with a spreadsheet, not a casebook - and that outsider lens is arguably what made EvenUp possible.
The personal injury market had been ignored by serious technology for a reason: it sits at the intersection of law (slow, relationship-driven, precedent-based) and insurance (adversarial, data-rich but access-restricted) and medicine (complex, paper-heavy, highly variable). It required someone who could look at that complexity and see a data pipeline problem, not a legal problem. Karabibar saw the pipeline.
Data moat first
EvenUp's Piai model trained on 2M+ pages of anonymized cases - a proprietary dataset that grows with every case processed.
Efficiency as access
When attorneys work faster, they take smaller cases. Justice gap closure is a byproduct of operational efficiency.
Platform not product
Demand letters were the wedge. The goal was always a full-stack intelligence platform for the entire personal injury lifecycle.
The mission language is genuine, not marketing. Raymond Mieszaniec's family lived through a serious injury claim. Saam Mashhad practiced law and watched victims lose money to bad documentation. Karabibar watched Waymo spend enormous resources on claims that never got properly analyzed. All three brought real stakes to the founding table - and that personal conviction has been a consistent thread through hundreds of investor meetings, product pivots, and growth sprints.
IPO orbit and the AI treatment frontier
In October 2025, Karabibar told Axios that EvenUp "could well be on a path to the public market as the industry grows." That's a careful, deliberate sentence from someone who has watched four funding rounds get preempted by investors. He is not in a hurry. He is building the kind of data advantage that makes being first to IPO worth waiting for.
The next frontier he has identified is treatment - not just documenting what happened to injury victims, but actively managing their medical care path. "Personal Injury AI is moving from reactive to proactive, and treatment is the next frontier," he said in 2025, alongside EvenUp's announcement of Medical Management and AI Communication Agents. The company is embedding itself earlier in the case lifecycle, before the demand letter, before the settlement negotiation, at the moment an injury is still being treated.
EvenUp already serves 2,000+ law firms. It processes 10,000 cases a week - a number that doubled in the six months before the Series E. Its largest customer generates over $4 million in annual revenue for EvenUp, producing roughly $40,000 per employee at that client. At 670 employees and growing, the company's unit economics are pointing in one direction.