Wexler.ai secures $5.3M to bring real-time fact-checking to litigation

Wexler.ai, the AI platform for complex litigation, today announced a $5.3 million Seed round. Unlike broad legal AI tools, wexler.ai is explicitly designed to think like a litigator.

The platform delivers verified, actionable facts with speed and scale, replacing slow and error-prone factual analysis with workflows built for case strategy. For example, tasks like building detailed chronologies that once took days can now be completed in about an hour.

I spoke to co-founder and CEO Gregory Mostyn to learn more.

"We're replacing slow, manual, and error-prone litigation review with a system that thinks like a litigator but operates at machine scale and speed," said Mostyn. 

"With our newest release, litigators can not only build a winning case strategy by mastering the evidence, but challenge inaccuracies as they happen in proceedings." 

Mostyn is not a lawyer by training. He comes from a sales and marketing background, having founded a couple of events businesses and served as a director at several scaleups. But law runs in the family: his father is a recently retired judge from the English Family Court and formerly a barrister, his brother is a partner at Cleary Gottlieb, and his stepmother is also a barrister. According to Mostyn, his dad retired due to Parkinson's but has been very involved in Wexler from the beginning.

"He gave us the initial insight into how facts are the backbone of a system that could help solve complex disputes — essentially a litigation-specific AI platform."

Further, Mostyn has always had an entrepreneurial drive — he joined  Entrepreneur First, and was keen to focus on litigation at a time when most legal AI was broad. 

"That focus allowed us to go deep into workflows where the ROI is enormous because of the sheer volume of data involved."

Software that "thinks like a litigator"

According to Mostyn, wexler.ai thinks like a litigator. He explained that litigation is ultimately about facts: who did what, when, where, and why. 

"The legal question usually comes after the factual one. That was one of the main insights from my father and has been confirmed by conversations with customers.

Wexler works at the fact level, not just the document level. Instead of just saying 'this document is relevant,' it reads it like a human would, extracts the key nugget of information, and connects it to the broader story. 

For example, a critical admission could be buried on page 93 of a document — wexler.ai finds that." It also identifies inconsistencies. For instance, if someone says in a deposition that they were in France, but an old email shows they didn't even have a passport at the time, Wexler surfaces that contradiction."

According to Mostyn, such subtle insights are critical in litigation. 

"Crack the chronology, crack the case"

One of Wexler's most interesting features is real-time fact-checking of live audio. The funding comes as the company launches Wexler Real-Time, a groundbreaking real-time legal fact-checking feature as part of its fact intelligence platform, already used by top global firms to build chronologies, query vast case materials, and surface key inconsistencies. The new capability flags false or inconsistent testimony as it's spoken in depositions and hearings.

Traditionally, Wexler ingests documents, analyses them, and consolidates insights. However, Mostyn explained, the shift now is layering that over live audio. 

"In depositions, arbitrations, or litigation (with permission), if someone says something that contradicts the evidence, Wexler flags it instantly and points to the relevant documents."

"For example, in Richard Sackler's deposition during the opioid litigation, he claimed he wasn't involved in marketing OxyContin. wexler.ai would flag that and point to multiple emails showing he was very involved. That's a powerful capability. Structuring the facts this way helps map out stronger case strategies," explained Mostyn.

"As we say: crack the chronology, crack the case."

The system extracts, analyses, and verifies key factual information across massive case datasets, transforming raw data into a usable work product.

With the ability to process up to 500,000 documents per upload and support multilingual deployments, the technology enables global firms to handle the complexity of modern disputes with precision. The company also announced new global law firm customers, including HSF Kramer, Goodwin Procter, and Addleshaw Goddard.

While many already use generalist AI platforms, like Microsoft Copilot or broad legal AI systems, Mostyn contends that litigation is different —"the stakes are high, and the workflows are unique. That's why they turn to us."

"One client said Wexler feels like it's "built by litigators for litigators," even though I'm not a litigator myself. That's exactly our goal: to be the specialised litigation AI platform that understands the nuances of disputes."

Hitting an inflexion point with US scaling

wexler.ai is currently doubling down in the US, which Mostyn attributes to the company "hitting an inflexion point."  Mostyn explained that the beauty of focusing on facts is that facts are universal, making scale a viable option across different jurisdictions.

"The core analysis works across jurisdictions and languages. We'll adapt outputs like motions or applications depending on the jurisdiction, but the core — analysing facts in context — is the same everywhere."

Growing adoption across top-tier firms highlights the platform's category-defining role in litigation. From AmLaw 50 leaders in the US to multinational firms in London, and rapid growth in APAC, users report dramatic reductions in review time and stronger confidence in case strategy. Today, more than 70 per cent of wexler.ai users are in the US, with rapid growth across the UK, Europe, Canada, and Australia, as Mostyn explained:

"Pear, a leading Silicon Valley VC, led our funding round, which is a big endorsement for a European legal AI startup. We're also hiring top litigators — one just joined us from Mayer Brown.

We've been lean and even profitable in some months, but now it's time to accelerate. We want to convert this early growth into becoming the market-leading litigation AI platform."

Since its pre-seed round in 2024, wexler.ai has grown its ARR by 20x and reduced manual review by at least 75 per cent, helping leading law firms and corporate legal teams establish facts faster and with greater accuracy. 

Long-standing customer Clifford Chance has also embedded  wexler.ai across its dispute resolution practice, and Burges Salmon has also adopted the platform to enhance its legal workflows.

Pear VC led the round, with participation from Seedcamp, The LegalTech Fund, and Pre-seed lead investors Myriad Venture Partners. 

"At Pear, we love to partner with highly ambitious founders who are tackling big problems with unique tech," said Kathleen Estreich, Partner at Pear VC.

"Greg and the wexler.ai team are building what's quickly becoming essential infrastructure for litigation. They combine real-time fact-checking with workflows designed for how lawyers actually win cases, becoming essential for all litigators."

"In complex disputes, establishing the facts is often challenging and time-consuming," said Charlie Morgan, Partner at HSF Kramer. 

"The Wexler platform is helping our teams do this more quickly and effectively, which in turn helps us improve case strategies, deliver more value and secure the best outcomes for our clients." 

"Litigation is one of the most complex and high-stakes areas of law, and wexler.ai is redefining how lawyers uncover and use facts," said Tom Wilson, Partner at Seedcamp. 

"We believe Wexler's team is building foundational technology that will change the economics of litigation, making legal teams faster, sharper, and ultimately more successful."

"We like the accuracy and litigation-focused design of Wexler - it's truly a product for litigators," said David Hobbie, Director, Knowledge & Innovation at Goodwin.

"Our lawyers have found it invaluable for early case assessment and thorough fact analysis, including identifying conflicting evidence. We look forward to continuing our partnership with Wexler as adoption spreads and as more fact-related features like the real-time fact-checking function are released."

The new funding will accelerate wexler.ai's product development; increase the scale of documents to millions per upload, expand the engineering and commercial teams; support wexler.ai's US launch; and scale multilingual, region‑specific deployments to meet growing demand from top‑tier law firms and corporate teams.  Built by privacy and security experts, wexler.ai employs user-specific encryption keys, data masking, and complies with SOC 2 Type II, ISO 27001, GDPR, and AWS Cloud Security standards.

Looking ahead, Mostyn litigation believes that overall, in the future, litigation will be fairer and more efficient:

"Today, cases are often limited by budget — firms only review the evidence they can afford to analyse. With AI, all the evidence can be reviewed.

That means stronger advocacy and more equitable outcomes for clients."

For firms, AI won't just be about cost savings. It opens new revenue streams and pricing models. Some firms are already exploring fixed-fee "menu" services powered by AI.  "The forward-thinking firms adopting these tools now will benefit the most."