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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.

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Pete Hanlon

Pete Hanlon

Commercial

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Commercial

APCIA Urges House to Pass Litigation Funding Disclosure Reforms

By John Freund |

The American Property Casualty Insurance Association (APCIA) is renewing its call for Congress to advance two pieces of legislation aimed at increasing transparency in third-party litigation funding (TPLF). According to a recent article in Insurance Journal, APCIA is backing the Litigation Transparency Act of 2025 (H.R. 1109) and the Protecting Our Courts from Foreign Manipulation Act of 2025 (H.R. 2675) as key reforms for federal civil litigation.

An article in Insurance Journal reports that the House Judiciary Committee is expected to mark up both bills, which would require disclosure of TPLF in federal cases, and in the case of H.R. 2675, bar foreign governments and sovereign-wealth funds from investing in U.S. litigation. APCIA’s senior vice president for federal government relations described the measures as bringing “needed transparency for one of the largest cost drivers of insurance premiums — third-party litigation funding.”

In support of its advocacy, APCIA cited research from the consulting firm The Perryman Group, which estimated that excess tort costs in the U.S. amount to $368 billion annually — with each household absorbing roughly $2,437 in additional costs per year across items such as home and auto insurance and prescriptions.

While tax reform efforts once included proposals targeting funder profits, budget-rule constraints prevented those from advancing.

Commercial

Burford Capital Underscores Data‑Driven Settlement Strategies

By John Freund |

Burford Capital and Solomonic explore how seasoned funders and advisers can bring precision to the settlement table in high‑stakes disputes.

An article on Burford’s website states that the joint webinar, hosted by James MacKinnon (Burford) and Edward Bird (Solomonic), featured experts from Herbert  Smith  Freehills  Kramer, Pallas  Partners and Dectech to discuss how analytics can reshape settlement strategy. The piece highlights that large‑value disputes often take far longer and face steeper odds of success — not because high‑value claims are inherently weaker, but because risk‑seeking behaviour tends to dominate when the stakes rise.

Burford explains its method of translating a multi‑headed claim into a “weighted average damages outcome,” then discounting for trial risk, appellate risk, enforcement risk and cost of capital to arrive at a present‑day valuation. In one example, a claim with a theoretical maximum of US$500 million was valued at just under US$76 million after risk‑adjustment — meaning a settlement at or above that number would objectively represent success given the circumstances.

The article also reflects on the evolving role of AI and analytics. While data models are improving, Burford cautions that predictive systems remain dependent on data quality and expert inputs — underscoring that modelling alone is not a substitute for judgment and experience.

Commercial Regulatory Issues

Proposed TPLF Bill Sparks Privacy Concerns Across Legal Landscape

By John Freund |

A new legislative push to increase transparency in third-party litigation funding (TPLF) has ignited concern over the potential erosion of individual privacy rights, especially for plaintiffs involved in sensitive litigation. While the bill aims to shed light on opaque funding arrangements, critics warn that it could open the door to broad and unnecessary disclosures of personal data.

An article in The Hill notes that among the more controversial aspects of the proposed bill is its requirement that plaintiffs and their attorneys disclose the details of any litigation funding agreements. These disclosures could go far beyond identifying funders, potentially revealing case-specific facts, medical or financial histories, and other personally identifiable information. There is no clear guidance on how such disclosures would be protected, raising the specter of public filings that expose vulnerable claimants to undue scrutiny or retaliation.

The breadth of the bill has drawn particular criticism. While aimed at foreign or undisclosed financial backers, its language is sweeping enough to encompass nearly any financial relationship, including arrangements with U.S.-based funders operating under existing regulatory frameworks. Legal observers worry that plaintiffs—especially those with lower means—may be discouraged from pursuing meritorious claims due to the fear of invasive data exposure.

Privacy advocates argue that without significant revisions, the bill risks creating a litigation environment in which strategic intelligence gathering by adversaries, funder interference, and reputational harms become routine. Several industry experts are calling for narrowly tailored disclosures limited to material funding terms, coupled with robust confidentiality protections and strict limits on public access.