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Wexler Announces $1.4 Million Pre-Seed Financing, Global Law Firm Adoption and Launch of AI Agent to Enhance Dispute Resolution

By Harry Moran |
December 3, 2024

Wexler Announces $1.4 Million Pre-Seed Financing, Global Law Firm Adoption and Launch of AI Agent to Enhance Dispute Resolution

Wexler AI, the AI-powered legal fact intelligence platform, today announced major enhancements driving adoption among leading law firms, including Burges Salmon and a top AmLaw100 firm. Clifford Chance is also exploring the platform for use in its world-leading litigation and dispute resolution practice. Wexler’s platform automates essential fact-checking and intelligence gathering in high-stakes legal disputes, allowing lawyers to focus on more complex and strategic value-driven activities. These advancements follow a $1.4M pre-seed funding round led by Myriad Venture Partners, with support from Entrepreneur First, prominent angel investors at ComplyAdvantage, Moonpig, Tractable, and CreditKudos, fueling Wexler’s growth and mission to redefine litigation worldwide.

Since its launch in April of this year, Wexler AI has processed over one million queries, achieved approximately 2X month-over-month growth, and more than tripled its annual recurring revenue (ARR). Wexler’s advanced platform enables law firms to help manage large caseloads with greater accuracy, reallocating resources from time-intensive manual review to high-value legal strategy. Built by security and privacy experts, the platform uses user-specific encryption keys, masks personal data, and meets ISO 27001, GDPR, and AWS Cloud Security standards.

“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,” said Gregory Mostyn, co-founder and CEO of Wexler AI. “With support from Myriad Venture Partners, and Entrepreneur First, and working closely with Burges Salmon and also Clifford Chance, among others, 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.”

There is significant potential to improve efficiencies in the litigation document review process. Wexler’s AI approach reduces manual work, minimizes risk, and uncovers critical facts faster. Unlike traditional eDiscovery tools that merely organize documents, Wexler is purpose-built for high-stakes dispute resolution, delivering insights with an accuracy matching seasoned litigators.

Central to this is KiM, Wexler’s advanced 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. More than a passive tool, Wexler 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.

“Wexler is a powerful AI tool that is clearly designed for the types and volumes of work faced in dispute resolution,” said Tom Whittaker, director at Burges Salmon. “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.

With new funding from Myriad, Wexler is expanding its platform in 2025 including 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.

“Wexler AI is redefining fact-finding for legal and investigative work, and we see enormous potential in its unique approach,” said Chris Fisher, founder and managing partner of Myriad Venture Partners. “Their rapid growth and ability to deliver verified, actionable information are transforming how legal teams and other professionals manage complex data. We’re excited to support Wexler’s journey and look forward to their continued momentum and innovation.”

Wexler’s founding team blends deep expertise in AI, law, and business. Gregory Mostyn and Kush Madlani met at Entrepreneur First, united by a vision of creating a category defining applied AI company. Gregory saw the inefficiencies of litigation firsthand when his barrister, then judge father, returned from work with binders piled high to the roof of his office. Kush, 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. Kush’s scientific background pairs perfectly with Gregory’s commercial experience as a marketing and sales director to transform dispute resolution. 

Wexler AI collaborates with partners across the legal sector, from AM 100 law firms to in-house teams at major enterprises. Interested clients can request a demo at https://www.wexler.ai/.

About Wexler AI

Wexler AI tackles the world’s most complex cases by streamlining fact analysis for legal, compliance, eDiscovery, tax, and forensics teams. Trusted by top global law firms, Wexler is redefining fact-finding through a combination of AI and human expertise. For more information, visit https://www.wexler.ai/.

About Myriad Venture Partners

Myriad Venture Partners is an early-stage venture firm defining the future of business solutions. Investing in visionary AI, clean technology, and B2B software leaders, Myriad brings decades of expertise and a robust corporate and financial partnership network. By connecting entrepreneurs, corporate partners, industry leaders, and co-investors, Myriad is changing the ways businesses operate, compete, and create value.

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Harry Moran

Harry Moran

Commercial

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Commercial

A Framework for Measuring Tech ROI in Litigation Finance

This article was contributed by Ankita Mehta, Founder, Lexity.ai - a platform that helps litigation funds automate deal execution and prove ROI.

How do litigation funders truly quantify the return on investment from adopting new technologies? It’s the defining question for any CEO, CTO or internal champion. The potential is compelling: for context, according to litigation funders using Lexity’s AI-powered workflows, ROI figures of up to 285% have been reported.

The challenge is that the cost of doing nothing is invisible. Manual processes, analyst burnout, and missed deals rarely appear on a balance sheet — but they quietly erode yield every quarter.

You can’t manage what you can’t measure. This article introduces a pragmatic framework for quantifying the true value of adopting technology solutions, replacing ‘low-value’ manual tasks and processes with AI and freeing up human capital to focus on ‘high-value’ activities that drive bottom line results  .

A Pragmatic Framework for Measuring AI ROI

A proper ROI calculation goes beyond simple time savings. It captures two distinct categories:

  1. Direct Cost Savings – what you save
  2. Increased Value Generation – what you gain

The ‘Cost’ Side (What You Save)

This is the most straightforward calculation, focused on eliminating “grunt work” and mitigating errors.

Metric 1: Direct Time Savings — Eliminating Manual Bottlenecks 

Start by auditing a single, high-cost bottleneck. For many funds, this is the Preliminary Case Assessment, a process that often takes two to three days of an expert analyst's time.

The calculation here is straightforward. By multiplying the hours saved per case by the analyst's blended cost and the number of cases reviewed, a fund can reveal a significant hard-dollar saving each month.

Consider a fund reviewing 20 cases per month. If a 2-day manual assessment can be cut to 4 hours using an AI-powered workflow, the fund reallocates hundreds of analyst-hours every month. That time is now moved from low-value data entry to high-value judgment and risk analysis.

Metric 2: Cost of Inconsistent Risk — Reducing Subjectivity 

This metric is more complex but just as critical. How much time is spent fixing inconsistent or error-prone reviews? More importantly, what is the financial impact of a bad deal slipping through screening, or a good deal being rejected because of a rushed, subjective review?

Lexity’s workflows standardise evaluation criteria and accelerate document/data extraction, converting subjective evaluations into consistent, auditable outputs. This reduces rework costs and helps mitigate hidden costs of human error in portfolio selection.

The ‘Benefit’ Side (What You Gain)

This is where the true strategic upside lies. It’s not just about saving time—it’s about reinvesting that time into higher-value activities that grow the fund.

Metric 3: Increased Deal Capacity — Scaling Without Headcount Growth

What if your team could analyze more deals with the same staff? Time saved from automation becomes time reallocated to new higher value opportunities, dramatically increasing the value of human contributions.

One of the funds working with Lexity have reported a 2x to 3x increase in deal review capacity without a corresponding increase in overhead. 

Metric 4: Cost of Capital Drag — Reducing Duration Risk 

Every month a case extends beyond its expected closing, that capital is locked up. It is "dead" capital that could have been redeployed into new, IRR-generating opportunities.

By reducing evaluation bottlenecks and creating more accurate baseline timelines from inception, a disciplined workflow accelerates the entire pipeline. 

This figure can be quantified by considering the amount of capital locked up, the fund's cost of capital, and the length of the delay. This conceptual model turns a vague risk ("duration risk") into a hard number that a fund can actively manage and reduce.

An ROI Model Is Useless Without Adoption

Even the most elegant ROI model is meaningless if the team won't use the solution. This is how expensive technology becomes "shelf-ware."

Successful adoption is not about the technology; it's about the process. It starts by:

  1. Establish Clear Goals and Identify Key Stakeholders: Set measurable goals and a baseline. Identify stakeholders, especially the teams performing the manual tasks- they will be the first to validate efficiency gains.
  2. Targeting "Grunt Work," Not "Judgment": Ask “What repetitive task steals time from real analysis?” The goal is to augment your experts, not replace them.
  3. Starting with One Problem: Don't try to "implement AI." Solve one high-value bottleneck, like Preliminary Case Assessment. Prove the value, then expand. 
  4. Focusing on Process Fit: The right technology enhances your workflow; it doesn’t complicate it.

Conclusion: From Calculation to Confidence

A high ROI isn't a vague projection; it’s what happens when a disciplined process meets intelligent automation.

By starting to measure what truly matters—reallocated hours, deal capacity, and capital drag—fund managers can turn ROI from a spreadsheet abstraction into a tangible, strategic advantage.

By Ankita Mehta Founder, Lexity.ai — a platform that helps litigation funds automate deal execution and prove ROI.

Case Developments Commercial

Burford Capital’s $35 M Antitrust Funding Claim Deemed Unsecured

By John Freund |

In a recent ruling, Burford Capital suffered a significant setback when a U.S. bankruptcy court determined that its funding agreement was not secured status.

According to an article from JD Journal, Burford had backed antitrust claims brought by Harvest Sherwood, a food distributor that filed for bankruptcy in May 2025, via a 2022 financing agreement. The capital advance was tied to potential claims worth about US$1.1 billion in damages against meat‑industry defendants.

What mattered most for Burford’s recovery strategy was its effort to treat the agreement as a loan with first‑priority rights. The court, however, ruled the deal lacked essential elements required to create a lien, trust or other secured interest. Instead, the funding was classified as an unsecured claim, meaning Burford now joins the queue of general creditors rather than enjoying priority over secured lenders.

The decision carries major consequences. Unsecured claims typically face a much lower likelihood of full recovery, especially in estates loaded with secured debt. Here, key assets of the bankrupt estate consist of the antitrust actions themselves, and secured creditors such as JPM Chase continue to dominate the repayment waterfall. The ruling also casts a spotlight on how litigation‑funding agreements should be structured and negotiated when bankruptcy risk is present. Funders who assumed they could elevate their status via contractual design may now face greater caution and risk.

Commercial

Manolete Partners PLC Posts Flat H1 as UK Insolvency Funding Opportunity Grows

By John Freund |

The UK‑listed litigation funder Manolete Partners PLC has released its interim financial results for the half‑year ended 30 September 2025, revealing a stable but subdued performance amid an expanding insolvency funding opportunity.

According to the company announcement, total revenue fell to £12.7 million (down 12 % from £14.4 million a year earlier), while realised revenue slipped to £14.0 million (down 7 % from £15.0 million). Operating profit dropped sharply to £0.1 million, compared to £0.7 million in the prior period—though excluding fair value write‑downs tied to the company’s truck‑cartel portfolio, underlying profit stood at £2.0 million.

The business completed 146 cases during the period (up 7 % year‑on‑year) and signed 146 new case investments (up nearly 16 %). Live cases rose to 446 from 413 a year earlier, and the total estimated settlement value of new cases signed in the period was claimed to be 31 % ahead of the prior year. Cash receipts were flat at about £14.5 million, while net debt improved to £10.8 million (down from £11.9 million). The company’s cash balance nearly doubled to £1.1 million.

In its commentary, Manolete emphasises the buoyant UK insolvency backdrop — particularly the rise of Creditors’ Voluntary Liquidations and HMRC‑driven petitions — as a tailwind for growth. However, the board notes the first half was impacted by a lower‑than‑average settlement value and a “quiet summer”, though trading picked up in September and October. The firm remains confident of stronger average settlement values and a weighting of realised revenues toward the second half of the year.