Trending Now
Commercial Funder's Corner Special Features Thought Leadership

The Next Wave of AI: What’s Really Coming in 2025

By Pete Hanlon |
January 29, 2025

The Next Wave of AI: What’s Really Coming in 2025

The following post was contributed by Pete Hanlon, Chief Technology Officer of Moneypenny.

As CTO of Moneypenny, the leading outsourced communications company, Pete Hanlon brings a unique perspective to the transformative technology trends set to shape 2025 for lawyers. From advancements in AI to the realities of integration and regulation, he foresees pivotal changes that could redefine the legal profession and beyond.

Here’s a deep dive into what lies ahead—not just the obvious shifts, but the deeper changes that could impact how lawyers work,.

Open Source Is Coming for the Crown

The most exciting battle in AI isn’t unfolding in corporate labs, it’s happening in the open source community. They’re catching up fast, and were starting to see open source models going head to head with industry leaders such as OpenAI o1 and Claud-Sonnet-3.5. This isn’t just about matching performance metrics. It’s about making AI accessible to both large and small law firms that have been held back by data privacy concerns, opening doors for firms that have struggled to leverage this technology. The result? A new era where AI is democratized, accessible to all, and no longer controlled by closed source businesses.

Forget AI Replacing Lawyers – Think AI as Your Digital Colleague

Remember when everyone thought AI would replace many law firm jobs overnight? That’s not how it’s playing out. Instead, we’re witnessing the emergence of hybrid teams where AI takes on the repetitive tasks, leaving people free to handle more complex challenges. It’s less about replacing jobs and more about using AI to super power people and using data to enable smarter decision making. Moneypenny, for example, delivers outsourced communication solutions that blend the efficiency of AI with the personal touch of real people. This balanced approach boosts productivity and enhances customer satisfaction. 

Integration: The Real Challenge Nobody’s Talking About

Here’s where things get interesting and complicated. The next phase isn’t about building brand new AI systems, for lawyers it’s about weaving them seamlessly into existing business processes, work flows and infrastructure. Picture CRM systems that can predict what customers need, knowledge bases that update themselves, conversations that flow naturally between voice and text, and customer support that breaks language barriers. We understand the importance of seamless integration, and at Moneypenny, we’re fully embracing it helping legal teams embed AI powered systems into their infrastructure seamlessly . 

Industry Specific Models: Tailored AI for Specialized Needs

We’re entering an era of industry specific LLMs tailored for the legal field. These models will come pre loaded with domain-specific knowledge, enabling firms to deploy AI that understands their unique requirements, language, and regulatory needs. In finance, LLMs could support compliance and offer investment insights. In law, they could streamline contract review and case law analysis. These specialized models will allow companies to quickly implement AI that’s relevant, compliant, and impactful in their field.

The Reality Check Is Coming

Some firms may soon realize they’ve taken on more than they can handle with AI adoption, facing a range of unexpected challenges. Many will struggle with complex integration issues as they attempt to launch AI initiatives within existing systems. Additionally, there may be difficulties in managing the high expectations around AI’s capabilities, as reality often falls short of the hype surrounding its potential. 

Regulation: The Elephant in the Room

Law firms should prepare for the growing impact of AI regulations, particularly in customer facing applications. Forward thinking organizations are already taking steps to build transparency into their AI systems, overhauling data governance practices to ensure accountability. They are creating detailed audit trails to track AI decision making and making sure that their systems are both fair and accessible. These proactive measures not only help them stay compliant but also foster trust with their customers.

What This Means for lawyers

The next year won’t just be about AI getting better – it’ll be about AI getting smarter about how it fits into our existing world. Success won’t come from blindly adopting every new AI tool. It’ll come from carefully choosing where AI can genuinely improve how lawyers work.

The winners won’t be the companies with the most advanced AI. They’ll be the ones who figure out how to blend AI and human capabilities in ways that make sense for their business and their customers. Yes, we’ll see AI continuing to be more accessible and capable. But the real story will be about how lawyers learn to use it wisely. After all, technology is just a tool – it’s how the legal profession use it that matters.

Secure Your Funding Below

About the author

Pete Hanlon

Pete Hanlon

Commercial

View All
Commercial Legal Innovation

Getting Work Done: The Simpler, Smarter Way to Grow Your Firm

By Kris Altiere |

The following article was contributed by Kris Altiere, US Head of Marketing for Moneypenny.

Law firms are busier than ever. With new systems, dashboards, and automation tools launched in the name of efficiency, you’d think productivity would be soaring. Yet for many, the opposite is true. Complexity creeps in, admin increases, and clients still end up waiting for answers.

At Moneypenny, we’ve learned that true progress doesn’t come from doing more, it comes from doing what matters. Our philosophy is simple: Get work done, don’t just perform, don’t just present. Instead deliver, clearly, quickly, and with care.

Whether it’s a client seeking reassurance, a paralegal managing a mounting caseload, or a partner steering firm strategy through change, the goal should always be the same: solve the problem and move forward.

Efficiency might be driven by data, but in law, trust and momentum are still powered by people.

The Trust Factor

Clients don’t just want results; they want to know their matter is in good hands. The best partnerships, whether between a legal firm and its clients or between colleagues, are built on accountability and trust.

Getting work done isn’t about checking boxes or sending updates for the sake of optics. It’s about ownership. Doing what you say you’ll do, every single time. Following through with integrity. In short: treat people how you’d like to be treated. That’s how client confidence is built and why trust remains a competitive differentiator for firms now and in the future.

Focus on What Only You Can Do

Law firms today face growing operational pressures: administrative backlogs, client onboarding delays, endless meetings. Many assume the answer is to do more in-house, hire more people but the most successful firms know when to outsource to a trusted partner.

That doesn’t mean losing control, however. It means surrounding your firm with trusted partners who amplify your capabilities and free your team to do what only they can do, advise clients and win cases. When done right, it creates focus.

At Moneypenny, we see this daily. We handle client calls, live chats, and digital communications for thousands of businesses in the legal industry. We take care of the admin that slows teams down so they can accelerate the work that matters most: serving clients and growing their firm. It’s partnership in its purest form: freeing their people to deliver their best.

Pragmatism Over Perfection

Grand digital transformation projects often sound impressive, but the real progress comes from consistent, pragmatic improvement. The best firms are selective about innovation. They adopt technology not for the headlines, but for the results.

These are the firms that deliver, time and again, because they know progress isn’t about chasing every new idea, it’s about using the right ones well.

They ask simple, powerful questions:
• What’s the work that needs to be done?
• Who’s best to do it?
• How can we do it well?

It’s a balanced approach, blending smart innovation with everyday pragmatism and one that turns productivity from a KPI into a true competitive advantage.

Tech That Enables, Not Overcomplicates

Technology has enormous potential to streamline legal operations but only when used intentionally. Too often, new systems add friction instead of removing it.

The smartest firms blend automation with human oversight, letting technology enable people rather than replace them. For example, at Moneypenny, our AI Receptionist handles routine client inquiries with speed and accuracy. But when a conversation requires empathy, nuance, or reassurance, one of our experienced receptionists steps in seamlessly. 

The result is humans and AI together, each doing what they do best. Because in the end, emotional intelligence, the ability to listen, reassure, and build trust, remains a uniquely human strength, even as AI continues to evolve at a rapid rate.

Four Rules for Getting Work Done

This philosophy isn’t about going backwards or simplifying for the sake of it. It’s about cutting through the noise, building with intention, and putting resources where they’ll have the most impact.

It’s about following four simple objectives:

  1. Focus on what only you can do.
    Concentrate on the work that truly requires your expertise.
  2. Outsource with trust.
    Partner with people who treat your clients as their own.
  3. Use technology to enable, not to replace.
    Automation is a tool — not a solution in itself.
  4. Measure outcomes, not optics.
    Progress is about results, not noise.

Clarity Over Complexity

Getting work done isn’t flashy but it is how great firms grow. One resolved issue, one clear decision, one satisfied client at a time.

Because when brilliant legal teams are supported by smart technology and the distractions fall away, exceptional things happen. Clients feel the difference, teams perform at their best, and the firm builds a reputation for service and sustained excellence. 

For law firms navigating the fast-changing landscape, success will come from what matters most. Clarity over complexity. Trust over busyness. Action over appearance. And that is how law firms will truly move forward and stay ahead of the crowd.

Case Developments Commercial

Pogust Goodhead Defeats BHP Bid To Block Deposition Of Former Renova Chief

The High Court has rejected mining giant BHP’s application for an anti-suit injunction (ASI) that sought to prevent Pogust Goodhead from pursuing lawful evidence-gathering measures in the United States against the former president of the Brazilian redress scheme foundation set up after the Mariana dam collapse.

The Court found no basis to characterise Pogust Goodhead’s use of Section 1782 to seek a deposition of Mr André de Freitas, former CEO of the Renova Foundation[i] as vexatious, oppressive, or unconscionable, as argued by BHP.

In November 2024, Pogust Goodhead filed the §1782 application in the District Court of Arkansas seeking limited testimony from Mr de Freitas in relation to Pogust Goodhead’s claim arguing that BHP unlawfully interfered with Pogust Goodhead’s retainer rights and the compensation due to its Brazilian clients.  The U.S. court granted the subpoenas in January 2025.

Since then, BHP has sought to block the deposition by filing motions to quash the subpoenas in April 2025 and seeking an ASI in the High Court. A ruling from the Arkansas court is pending.

In Wednesday’s judgment, Mr Justice Waksman rejected BHP’s request for an injunction that would have halted the U.S. evidence-gathering process, finding no basis to prevent Pogust Goodhead from continuing with its §1782 discovery efforts.

Justice Waksman wrote in his decision: “I agree with PG that the depositions serve a distinct and legitimate purpose, being to better understand Renova’s role in relation to the various settlements and their form.”

Alicia Alinia, CEO at Pogust Goodhead commented: “We welcome the Court’s clear judgment. BHP has repeatedly attempted to obstruct legitimate investigations into its conduct. Mr de Freitas’s testimony is central to understanding how our clients’ rights may have been undermined. It is essential that he gives evidence. Only by hearing directly from those involved can our clients’ rights be properly safeguarded and the full truth established.”

Key Findings

  • The court held that English courts do not control how parties lawfully obtain evidence abroad, and that the U.S. court is the appropriate authority to decide the scope and propriety of discovery sought under Section 1782.
  • The Court also highlighted BHP’s significant delay in bringing the ASI application — nearly four months after learning of the U.S. subpoenas — which weighed against granting any injunctive relief.
  • Any concerns about the scope of the subpoenas, alleged misstatements, or burden on the witness are squarely matters for the U.S. District Court, which has already engaged with the issues in detailed hearings.

As a result, BHP cannot use the English courts to derail the ongoing U.S. process. The parties now await the District Court of Arkansas’s decision on whether BHP’s motions to quash the subpoenas will succeed.

Commercial Special Features

Third Party Funding 3.0: Exploring Litigation Funding’s Correlation with the Broader Economy

By Gian Marco Solas |

The following article was contributed by Dr. Avv. Gian Marco Solas[1], founder of Sustainab-Law and author of Third Party Funding, New Technologies and the Interdisciplinary Methodology as Global Competition Litigation Driving Forces (Global Competition Litigation Review, 1/25).  Dr. Solas is also the author of Third Party Funding, Law Economics an Policy (Cambridge Press).

There is an inaccurate and counterproductive belief in the litigation funding market, that the asset class would be uncorrelated from the global economy. That was in fact due to a much bigger scientific legal problem, that the law itself was not considered as physical factor of correlation, as instrument to measure and determine cause and effects of economic events in legal systems.

This problem has been solved, in both theoretical and mathematical terms, and in fact – thanks to technology available to date such as AI and blockchain – it looks much better for litig … ehm … legal third-party funders. 

Third Party Funding 3.0© opens three new lines of opportunities:

  1. AI allows to detect and file claims that would otherwise not have been viable / brought forward, such as unlocked competition law claims[2], which represent the largest chunk of the market for competition claims. See funding proposal.
  2. Human law as factor of correlation allows to calculate the unexpressed value of the global economy. Everything that, in fact, can be unlocked with litigation, allowing then a public-private IPO type of process to optimize legal systems[3].
  3. Physical modeling of the law also allows to transform debt / liabilities into new investments, thus allowing to settle litigation earlier and with less legal costs, leaving more room to creativity to optimize the investments[4].

While it may be true that the outcome of one single judgement does not depend on the fluctuations of the financial economy, legal reality certainly determines the ups and downs of the litigation funding (and any other) market. Otherwise, we could not explain the rise of litigation funding in the post-financial crisis for instance, or the shockwaves propagated by judgements like PACCAR.

The flip side is that understanding and measuring legal reality, as well as leveraging on modern technologies and innovative legal instruments, the market for legal claims and legal assets is much bigger and sizeable than with the standard litigation financial model.

In order to test Litigation Funding 3.0, I am presenting the following proposal:

10 MILLION EUR in the form of a series A venture capital type of investment to cover one test case's litigation costs, tech, book-building and expert costs aimed at targeting three already identified global or multi-jurisdictional mass anticompetitive claims in the scale of multi-billion dollars, whose details will be provided upon request.

Funder(s) get:

  • Percentage of claims' return as per agreement with parties involved;
  • Property of the AI / blockchain algorithm;
  • License of TPF 3.0.

The funding does not cover: additional legal / litigation / expert / etc. costs.

Below is the full proposal:

THIRD PARTY FUNDING 3.0© & COMPETITION LAW CLAIMS Dr2. Avv. Gian Marco Solas gmsolas@sustainab-law.eu ; gianmarcosolas@gmail.com ; +393400966871 
AI: Artificial Intelligence                  ML: Machine Learning                    TPF: Third Party Funding
GENERAL SCENARIO FOR COMPETITION LAW DAMAGE CLAIMS – IN SHORT
Competition authorities around the globe are rapidly developing AI / ML tools to scan markets / economy and prosecute anti-competitive practices. This suggests a steep increase in competition claims in the coming years, in both volume and scope.  AI also reduces the costs and time of litigation and ML allows to better assess its risks and merit, prompting for a re-modelling of the TPF economic model in competition claims considering empirical evidence of the first wave(s) of funded litigation.
CODIFICATION© IN PHENOGRAPHY© AND TPF 3.0©
New technology and ‘mathematical-legal language’, a combination of digital & quantum where the IT code is the applicable law modelled as - and interrelated with - the law(s) of nature (‘codification©’ in ‘phenography©’). On this basis, an ML / AI legal-tech algorithm has been built in prototype to learn, build and enforce anticompetitive claims in scale, to be guided by lawyers / experts / managers, with a process tracked with and certified in blockchain. New investment thesis (TPF 3.0©) for an asset class correlated to the global real economy, including the mathematical basis for the development of a complex sciences-based / empirical damage calculation to be built by experts. 
LEGAL / LITIGATION TECH INVESTMENT, COMMITMENT AND PROSPECT RETURN
10 MILLION EUR in the form of a series A venture capital type of investment with real assets as collateral for funding to any competition litigation filed with and through this algorithm, that becomes proprietary also of the funder(s). It aims at covering a first test case (already identified), full-time IT engineer, quantum experts and book-building costs. The funder(s) is(are) expected to provide also global litigation management expertise and own the algorithm. Three global or anyway multi-jurisdictional mass anticompetitive claims in the scale of multi-billion in value have already been identified. Details will be provided upon request. Funder(s) also gets license of the TPF 3.0© thesis.

Below is the abstract and table of contents from my research:

Abstract

This article aims at fostering competition litigation and market analysis by integrating concepts borrowed from physics science from an historical legal and evolutionary perspective, taking the third party funding (TPF) market as benchmark. To do so, it first combines historical legal data and trends related to the legal and litigation markets, discussing three macro historical trends or “states”: Industrial revolution(s) and globalisation; enlargement of the legal world; digital revolution and liberalisation of the legal profession. It then proposes the multidisciplinary methodology to assess the market for TPF: mainstream economic models, historical “cyclical” data and concepts borrowed from physics, particularly from mechanics of fluids and thermodynamics. On this basis, it discusses the potential implication of such methodology on the global competition litigation practice, for instance in market analysis and damage theory, also by considering the impact of modern technologies. The article concludes that physics models and the interdisciplinary methodology seem to add value to market assessment and considers whether there should be a case for a wider adoption in (competition) litigation and asset management practices.  

Table of Contents

Introduction. I. Evolution of the legal services, litigation and third party funding market(s) 1.1. Industrial revolution(s) and globalisation 1.2. Enlargement of the legal world and privatisation of justice 1.3. Digital revolution and liberalisation of the legal profession II. Modelling the market(s) with economics, historical and physics models. Third Party Funding as benchmark 2.1. Economic models for legal services, legal claims and third party funding markets 2.2. Does history repeat itself? Litigation finance cycles 2.3. Mechanics of fluids and thermodynamics to model legal markets? III. Impact on global competition litigation 3.1. Market analysis and damage theory 3.2. Economics of competition litigation and new technologies. Conclusions. Third Party Funding 3.0© and competitiveness.

--
1. Italian / EU qualified lawyer and legal scientist. Leading Expert at BRICS Competition Law & Policy Centre (Higher School of Economics, Moscow). Ph.D.2 (Maastricht Law School, Economic Analysis of Law; University of Cagliari, Comparative Law) – LL.M. (College of Europe, EU competition Law). Visiting Fellow at Fordham Law School (US Antitrust), NYU (US Legal finance and civil procedure).

2. G. M. Solas, ‘Third Party Funding, new technologies and the interdisciplinary methodology as global competition litigation driving forces’ (2025) Global Competition Litigation Review, 1.

3. G. M. Solas, ‘Interrelation of Human Laws and Laws of Nature? Codification of Sustainable Legal Systems’ (2025) Journal of Law, Market & Innovation, 2.

4. ‘Law is Love’, at https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5694423, par. 3.3.