Wexler AI, the genAI-driven legal fact intelligence startup, has gained $1.4m in a pre-seed funding round led by Myriad Venture Partners. The move comes as it works with firms such as Burges Salmon and is running a six-month, global-scale POC with Clifford Chance.
As to what Wexler’s platform does: ‘It automates essential fact-checking and intelligence gathering in high-stakes legal disputes, allowing lawyers to focus on more complex and strategic value-driven activities’.
Unlike traditional eDiscovery tools that ‘merely organise documents, Wexler is purpose-built for high-stakes dispute resolution, delivering insights with an accuracy matching seasoned litigators’, they added.
Central to this is KiM, Wexler’s agent for complex dispute tasks, which produces verified work output directly from case facts, automating steps like drafting, generating court applications, and extracting data from vast document sets. The company stressed that this was ‘more than a passive tool [and] uncovers red flags, suggests follow-ups, and enhances case strategy as an active partner, enabling legal teams to drive efficiency and deliver results on the most challenging cases’.
With the funding Wexler said it will develop new features such as automated document drafting, advanced fact-checking tools, and streamlined discovery requests. These enhancements will extend Wexler’s impact beyond the legal sector, offering new applications in compliance and HR investigations as well, they added.
Since its launch in April of this year, Wexler has processed over one million queries, achieved approximately 2X month-over-month growth, and more than tripled its annual recurring revenue (ARR). The startup also took part in the Legal Innovators UK event this November in London.
Gregory Mostyn, co-founder and CEO of Wexler AI, said: ‘Wexler assists lawyers working on the world’s most complex cases. The platform delivers critical, verified facts that legal teams can act on with full confidence. We’re not just transforming how the legal industry tackles the time and efficiencies of fact-finding, but helping our customers generate greater business value for their clients.’
Tom Whittaker, director at Burges Salmon, added: ‘Wexler is a powerful AI tool that is clearly designed for the types and volumes of work faced in dispute resolution. It allows us to identify relevant facts and produce useful work in a relatively short time, augmenting the work of our expert teams by providing them with additional methods to achieve their objectives. It has been a pleasure to work with the Wexler team over a number of years to continually improve its functionality to help meet our clients’ and colleagues’ high expectations.’
In terms of how this all got started, Mostyn and co-founder Kush Madlani met at Entrepreneur First, and were ‘united by a vision of creating a category defining applied AI company’.
Mostyn regularly saw the inefficiencies of litigation first-hand when his barrister, then judge father, returned from work with binders piled high to the roof of his office, he explained. While Madlani, a former JP Morgan derivatives trader, began automating workflows with Python before completing a Machine Learning Master’s at UCL and joining Tractable, where he developed fraud-detection models and continuous improvement systems.
Other participants in the funding round included angel investors from ComplyAdvantage, Moonpig, Tractable, and CreditKudos.
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AL Interview With Gregory Mostyn, CEO, Wexler AI
– What does it mean to you to get this funding?
It means that we can bring our product to market in a much more robust way. We have increased our team size with more engineers, and we can tackle our launch in North America, to supplement our initial customers in the UK. It allows us to continue developing state of the art ‘agentic’ AI and add more and more disputes-specific use cases to KiM. We’re really excited but this is just the start!
– How was it in the VC market to obtain the investment?
We were lucky to receive an inbound from Myriad Venture Partners which catalysed the process, they have been brilliant partners, introducing us to law firms even before the term sheet was signed. The funding market is certainly tricky, and you need to have a clearly differentiated viewpoint in our space. Our focus on disputes, and ‘selling the work’, i.e. using this agentic AI to sell quality, improved work output, rather than just tools to create more efficiencies, really helped us to stand out. In the high stakes world of litigation, you know better than anyone that you need specific tooling. Even 1% difference in quality can have big ripple effects. That’s why we created Wexler – to help litigators solve the world’s most complex cases.
– What is your growth road map?
On the product side, we are adding more and more custom agentic workflows for disputes. This means, developing the functionality to draft correspondence from the facts, allowing the creation of court applications, and then mapping the fact patterns in the documents to the relevant case law, in the UK and the US. Wexler really is that value layer at the bottom of the chain which is bespoke to the tasks that these time-poor lawyers wrestle with day-to-day. You can think of each user of Wexler to have a swarm of proactive, intelligent agents working at their disposal, with all of the nuance and background knowledge needed for contentious legal work, able to trawl through every document and give every line of inquiry the attention it deserves.
– In terms of breaking through the ‘genAI noise’ how has Wexler found it?
We have taken a very deliberate approach to build a ‘thick’ product which goes deep into specific workflows, rather than a broad product which aggregates the tasks lawyers do across practice areas into an AI assistant or co-pilot. I strongly believe our approach will be much more defensible as the foundational models improve. Wexler is like a scalpel, rather than a Swiss army knife. And when you’re doing brain surgery – a Swiss army knife doesn’t cut it! It’s great to see that our thesis is validated with this funding, and we can now double down on this vision.
Thanks, Greg. Congrats on the funding and looking forward to seeing how things grow!