Wisedocs Names Jenna Earnshaw CEO and Connor Atchison President Amid New Research, Product Expansion, and Enterprise Growth

New leadership structure positions Wisedocs for its next phase of enterprise growth as the company advances long-context medical reasoning research, expands into billing and deposition analysis, and scales solutions across complex claims.

MIAMI--(BUSINESS WIRE)--Wisedocs, the AI infrastructure for complex casualty claims, today announced that co-founder Jenna Earnshaw has been appointed Chief Executive Officer and co-founder Connor Atchison, previously CEO, has moved into the role of President.

The leadership evolution comes after rapid enterprise growth, as enterprise revenue increased by 84x over the last 24 months. Built on a portfolio of in-house machine learning and language models and informed by experience processing more than 130 million claims documents, the Wisedocs platform is already delivering measurable results. Organizations using Wisedocs report 60 to 80% faster first touch on complex claims and up to 2x case-handling efficiency.

Wisedocs now enters its next stage of growth, marked by new long-context medical reasoning research, two new product analyzers, and continued enterprise adoption across the claims ecosystem.

Why Complex Claims Need Purpose-Built Intelligence

Complex casualty claims are becoming more expensive, fragmented, and difficult to resolve. Rising claim complexity, litigation pressure, and experienced adjuster shortages are forcing insurers and defense teams to make faster, higher-stakes decisions with more information spread across more systems.

In high-stakes claims, the facts that determine exposure are often buried across thousands of pages of medical, legal, billing, and testimony records. In a multi-million-dollar claim, the ability to find, understand, and act on the correct information can materially shape the outcome. Wisedocs is built for that environment: helping teams structure claim information, surface risk earlier, and move from document review to defensible decision-making.

New Benchmark Shows Why General-Purpose LLMs Fall Short in Complex Claims

To help define where general-purpose AI falls short in complex claims, Wisedocs released the Medical Long Context Reasoning benchmark, an open evaluation designed to test whether large language models can reason across long, fragmented medical records in the way claims professionals need.

A claims professional reviewing a 150-visit medical record is not just searching for a single fact. They are reconstructing chronology, causality, treatment patterns, and claim relevance. To measure whether today’s models can perform that work, Wisedocs built MLCR around realistic, synthetic medical cases of 25,000 to 64,000 tokens and graded questions across six tiers of difficulty, from locating a single fact to expert-level clinical synthesis and compound, multi-part reasoning.

Wisedocs tested 11 commercial models and found several limitations that matter for any organization evaluating off-the-shelf AI for claims workflows:

• Frontier models struggle with the hardest work. Accuracy holds up on simple fact-finding but degrades sharply on expert-tier and compound, multi-part questions, which are the types of reasoning complex claims require.
• Real records are full of noise. Inserting plausible but irrelevant medical and administrative forms, which reflects the reality of actual claim files, measurably reduced accuracy, with smaller models most affected.
• Models can produce unsupported answers. When asked about information that was not present in a record, models sometimes produced confident but unsupported responses, an unacceptable failure mode in a defensible claims decision.

“Realistic medical reasoning tasks are the best way to understand where models can be trusted and where they break down,” said Denys Linkov, Head of AI at Wisedocs. “The benchmark confirms what we see in production every day: complex claims require more than a large context window. They require context engineering, multi-step processing, and expert oversight. That is what we have spent years building, and now we are making the measurement framework available to the market.”

Wisedocs is open-sourcing the cases and the first three question tiers on Hugging Face along with its testing harness, and is making the hardest tiers available to model labs as a private evaluation. The benchmark reflects Wisedocs’ core advantage: experience processing more than 130 million claims documents, in-house domain models tuned specifically for complex claims, and a team of in-house medical experts who evaluate and improve model outputs.

New Analyzer Capabilities Extend Wisedocs into Billing and Testimony Review

Wisedocs’ product expansion reflects the same thesis behind the benchmark research: complex claims require more than document review. They require systems that can reason across medical, legal, billing, and testimony records into a structured view of risk, exposure, and next steps.

The new Wisedocs Billing & Financial Analyzer and Deposition Analyzer extend the platform into two of the most contested parts of complex claims: financial exposure and testimony review.

The Billing & Financial Analyzer identifies cost drivers, billing patterns, anomalies, and potential leakage across the financial record of a claim. It turns charges, codes, provider bills, and supporting documentation into a structured view of financial exposure, giving legal and claims teams a structured view of billed, paid, and outstanding amounts, and a clearer line to where costs can be challenged or contained.

The Deposition Analyzer brings the same rigor to testimony review by connecting what is said in a deposition back to the medical and factual record, flagging contradictions, and giving legal and claims teams a faster path from transcript review to case strategy.

Both analyzers reflect the same product philosophy behind MLCR: long-context reasoning, structured outputs, and expert oversight for high-stakes claims work. Together, they show how Wisedocs is expanding from claims document processing into claims intelligence. Enabling claims and legal teams to connect records faster, understand exposure more clearly, identify risk, and move quickly from review to action.

Leadership Structure for the Next Phase of Growth

As co-founder and COO, Earnshaw built and led the go-to-market motion that established Wisedocs as a recognized market leader, helping steer the company through its seed round and oversubscribed $12.7 million Series A. As CEO, she will lead enterprise growth strategy, investor relationships, capital formation, and market presence as Wisedocs scales across the claims ecosystem.

“We know the problem, we have built the platform, and the research we are publishing today shows why domain-specific AI matters,” said Jenna Earnshaw, CEO of Wisedocs. “This transition is not a pivot. It is an acceleration toward becoming the standard for how complex claims decisions are made.”

Atchison founded Wisedocs in 2019 out of firsthand experience with the backlog and bottlenecks of the medical claims system. A 12-year veteran of the Canadian Armed Forces, he watched thousands of veterans navigate a slow, expensive process that was failing the people it was meant to serve. As President, he will direct product vision, operations, and the infrastructure engine that powers Wisedocs at scale.

“My focus is making sure our product, operations, and infrastructure continue to scale with the needs of our customers. Every promise we make to customers and investors has to be backed by the strength of the platform,” said Connor Atchison, President and co-founder of Wisedocs.

About Wisedocs

Wisedocs is the AI infrastructure for complex casualty claims. The company helps insurers and organizations across the claims ecosystem transform complex claim documents into structured, decision-ready intelligence. Using AI combined with expert human oversight, Wisedocs organizes, analyzes, and summarizes large volumes of medical, legal, and billing records so claims teams can identify risk earlier, decide with confidence, and close files with defensibility. Founded in 2019, Wisedocs serves insurance carriers, self-insured corporations, government agencies, defense counsel, and medical experts, and is built for highly regulated environments with SOC 2 Type II compliance and HIPAA alignment. Learn more at wisedocs.ai.