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Legal Innovation

Addleshaw Goddard Expands to Meet Litigation Funding Demand

By John Freund |

The firm of Addleshaw Goddard has long been a proponent of third-party litigation finance, having used it to support clients in an array of diverse jurisdictions. Now they are launching a tailored set of solutions for clients, encompassing third-party funding, damage-based agreements, conditional fee agreements, and after the event insurance.

Addleshaw Goddard explains that this expansion promises to be of specific interests to:

  • Those seeking to share risk when filing or defending a claim
  • Parties seeking impartial advice and guidance on funding options
  • Firms new to funding that need to better understand available options
  • Funders looking to develop new ways to structure funding agreements

Consulting with funding experts should be an essential part of due diligence on both sides of a litigation conflict, as it combines expertise from finance, litigation, commercial business, and funding. Mark Molyneux, Head of Litigation, states that this fully rounded approach is exactly what’s most needed in the market.

Addleshaw joins a growing list of law firms that are expanding into the lucrative litigation funding market.

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John Freund

John Freund

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Commercial Legal Innovation

Litigation Funders: We’re Unsexy and We Know it!

By Maurice Power |

The following article was contributed by Maurice Power, Chief Executive Officer of Apex Litigation Finance. Apex is an established litigation funder providing bespoke funding solutions to small/mid-size commercial claims in the UK.

The widely reported panel session on litigation funding, at the recent London International Disputes Week, was wide ranging and thought provoking, with several insightful comments from Judge Sara Cockerill, former head of the Commercial Court, and the three senior lawyers who joined her on the panel. 

Mrs Justice Cockerill shared her concerns that whilst “sexy” cases, such as those which can be commoditised (e.g. competition or class action claims) or fit well into a funder’s portfolio, are most likely to be funded, other claims are less likely to be funded.  I think those familiar with the litigation funding market would broadly agree with those sentiments.  However,  contrary to that view, new entrants to the litigation funding market, including Apex Litigation Finance, are increasing the funding options available to litigating parties.  One off mid-sized claims by SMEs, individuals and insolvency practitioners are of interest to certain funders, even if the claims are deemed not to be “sexy”!

Apex was set up specifically to fund mid-sized claims.  One of Apex’s USPs is that we have no minimum funding need, so we are able to offer funding solutions for claims where, for example, only disbursements need funding. For a range of mid-sized claims  a cash injection from a funder can allow a case to proceed when it would otherwise be stymied.  The sort of claims Apex typically fund probably fall outside of the description of “sexy” used in the panel session due to their size and nature.

An SME (as well as individuals and insolvency practitioners), when faced with the reality of funding the costs of litigation, the delaying tactics of defendants, the adverse costs risk exposure and lengths of cases in the Commercial Courts, may simply be unable to afford the risk or cost of pursuing a meritorious case, or may prefer to spread and share some of the risks that come with all litigation in order to access justice. 

There is a gap between the sorts of cases typically brought by an SME and those of interest to the larger high profile funders.  Claims for breach of contract, business interruption cover insurance, professional negligence and shareholder disputes (to name some examples), as well as claims brought in insolvency processes, rarely involve claim values of more than £10m and yet they may not be pursued as many funders are simply not interested in supporting lower value cases. Litigation funding is just as essential in providing access to justice for these sorts of claims, as for the larger claims and class actions.  That funding gap is increasingly being addressed by funders such as Apex, who focus not on the scale of the investment but whether flexible funding, alongside a legal team working on full or partial CFAs, can enable these sorts of claims to be pursued in a cost-effective manner to deliver a decent commercial return to the funded client.

Whilst Apex bases their return on a multiple of funds deployed, as opposed to being paid a percentage of realisations, the impact of the PACCAR case on the wider litigation funding market is not helpful for the promotion of the concept of litigation funding and building confidence in the market.  The Litigation Funding Agreements Bill has been stood down for now, given the pending general election, but it is essential that it is revisited as soon after the election as possible, a sentiment we share with Mrs Justice Cockerill.

Mrs Justice Cockerill accepted that it is not feasible to have a single cap on the costs of funding and called for more transparency so both parties know what they are selling and what they are buying.  Many funders, including Apex, provide a funding facility with the funder’s fee based on a multiple of funds deployed, an approach which should be easily understood by the litigant seeking funding, and thus provides the transparency the litigant needs to calculate the costs.  I personally love a spreadsheet and am happy to set out the likely returns to the client in a series of scenarios, including an early settlement, a successful mediation, a deal done on the Court steps and (usually the worst for all parties) an outcome at trial, with some clearly set out assumptions.

The UK has a rapidly developing litigation funding market which Apex is proud to be an active part of.  That a senior Judge has endorsed the concept of litigation funding is great to hear.  The market would be wise to listen to the issues raised by commentators such as Lady Justice Cockerill, who have a deep understanding of the challenges facing litigating parties, and continue to evolve their approach and offerings to address the needs of as wide a range of litigating parties as possible.  That can and should include the “unsexy” cases.

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Announcements Commercial Legal Innovation

Wordsmith Raises $5M to Empower Lawyers to Scale with AI

By Harry Moran |

Wordsmith, the AI-powered legal assistant platform, has raised $5 million to transform the legal industry and unleash a new generation of hyper-skilled legal professionals.

The seed funding was led by Index Ventures, with participation from General Catalyst and angel investors including Skyscanner founder Gareth Williams. The investment is a sign of how applied AI is rapidly augmenting and enabling professional services – a shift as profound as the transition to digital devices and word processing 40 years ago.

“AI is not about replacing professionals. It's about making them better at their jobs,” explains Wordsmith CEO Ross McNairn. “Just as the word processor didn't replace writers, but instead made them more productive, Wordsmith is ushering in a new era of AI-assisted professional services.”

Wordsmith is solving a critical problem faced by in-house legal teams: the overwhelming volume of routine tasks that leave lawyers struggling to keep up with the demands of the business. From confirming policy details to contract analysis and complex financing, the demand for human judgment and the consequences of oversight are high – yet many of the outputs are repeatable and templated. Wordsmith customers get 90% of the through-put of a world-class lawyer and a 99% cost reduction versus going to a law firm, all within 60 seconds.

Hannah Seal, the partner at Index Ventures who led the investment, says: “Wordsmith is at the vanguard of a fundamental shift in how professional services are delivered. It’s not about replacement but augmentation. By harnessing the power of generative AI, they're not only transforming the legal industry, but also paving the way for a future in which AI-assisted professionals can provide better, faster, and more affordable services to their clients.”

Wordsmith was founded in 2023 by Ross McNairn, Volodymyr Giginiak and Robbie Falkenthal. After training as a lawyer, McNairn sold his first startup to Skyscanner in 2016 and most recently was Chief Product and Technology Officer at Travelperk. CTO Giginiak, one of the first engineers at Meta in London who worked for a decade in key roles at Facebook and Instagram, was helping to implement anti-drone technology for the Ukrainian army before joining Wordsmith. Robbie Falkenthal, COO, is a qualified lawyer who has previously held senior roles at KPMG and Travelperk.For additional information regarding Wordsmith visit https://www.wordsmith.ai/ and follow on LinkedIn.

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Commercial Legal Innovation

Navigating the Legal Landscape: Best Practices for Implementing AI

By Anthony Johnson |

The following article was contributed by Anthony Johnson, CEO of the Johnson Firm and Stellium.

The ascent of AI in law firms has thrust the intricate web of complexities and legal issues surrounding their implementation into the spotlight. As law firms grapple with the delicate balance between innovation and ethical considerations, they are tasked with navigating the minefield of AI ethics, AI bias, and synthetic data. Nevertheless, within these formidable challenges, law firms are presented with a singular and unparalleled opportunity to shape the landscape of AI law, copyright ownership decisively, and AI human rights.

Conducting Due Diligence on AI Technologies

Law firms embarking on the integration of AI into their practices must commence with conducting comprehensive due diligence. This process entails a precise evaluation of the AI technology's origins, development process, and the integrity of the data utilized for training. Safeguarding that the AI systems adopted must be meticulously developed with legally sourced and unbiased data sets. This measure is the linchpin in averting potential ethical or legal repercussions. It is especially paramount to be acutely mindful of the perils posed by AI bias and AI hallucination, both of which have the potential to undermine the fairness and credibility of legal outcomes.

Guidelines must decisively address the responsible use of AI, encompassing critical issues related to AI ethics, AI law, and copyright ownership. Furthermore, defining the scope of AI's decision-making power within legal cases is essential to avert any over-reliance on automated processes. By setting these boundaries, law firms demonstrate compliance with existing legal standards and actively shape the development of new norms in the rapidly evolving realm of legal AI.

Training and Awareness Programs for Lawyers

Implementing AI tech in law firms isn't just a technical challenge; it's also a cultural shift. Regular training and awareness programs must be conducted to ensure responsible and effective use. These programs should focus on legal tech training, providing lawyers and legal staff with a deep understanding of AI capabilities and limitations. Addressing ethical AI use and the implications of AI on human rights in daily legal tasks is also required. Empowering legal teams with knowledge and tools will enhance their technological competence and drive positive change.

Risks and Ethical Considerations of Using AI in Legal Practices

Confidentiality and Data Privacy Concerns

The integration of AI within legal practices presents substantial risks concerning confidentiality and data privacy. Law firms entrusted with handling sensitive information must confront the stark reality that the deployment of AI technologies directly threatens client confidentiality if mishandled. AI systems' insatiable appetite for large datasets during training lays bare the potential for exposing personal client data to unauthorized access or breaches. Without question, unwaveringly robust data protection measures must be enacted to safeguard trust and uphold the legal standards of confidentiality.

Intellectual Property and Copyright Issues

The pivotal role of AI in content generation has ignited intricate debates surrounding intellectual property rights and copyright ownership. As AI systems craft documents and materials, determining rightful ownership—be it the AI, the developer, or the law firm—emerges as a fiercely contested matter. This not only presents legal hurdles but also engenders profound ethical deliberations concerning the attribution and commercialization of AI-generated content within the legal domain.

Bias and Discrimination in AI Outputs

The critical risk looms large: the potential for AI to perpetuate or even exacerbate biases. AI systems, mere reflections of the data they are trained on, stand as monuments to the skewed training materials that breed discriminatory outcomes. This concern is especially poignant in legal practices, where the mandate for fair and impartial decisions reigns supreme. Addressing AI bias is not just important; it is imperative to prevent the unjust treatment of individuals based on flawed or biased AI assessments, thereby upholding the irrefutable principles of justice and equality in legal proceedings.

Worst Case Scenarios: The Legal Risks and Pitfalls of Misusing AI

Violations of Client Confidentiality

The most egregious risk lies in the potential violation of client confidentiality. Law firms that dare to integrate AI tools must guarantee that these systems are absolutely impervious to breaches that could compromise sensitive information. Without the most stringent security measures, AI dares to inadvertently leak client data, resulting in severe legal repercussions and the irrevocable loss of client trust. This scenario emphatically underscores the necessity for robust data protection protocols in all AI deployments.

Intellectual Property Issues

The misuse of AI inevitably leads to intricate intellectual property disputes. As AI systems possess the capability to generate legal documents and other intellectual outputs, the question of copyright ownership—whether it pertains to the AI, the law firm, or the original data providers—becomes a source of contention. Mismanagement in this domain can precipitate costly litigation, thrusting law firms into the task of navigating a labyrinth of AI law and copyright ownership issues. It is important that firms assertively delineate ownership rights in their AI deployment strategies to circumvent these potential pitfalls preemptively.

Ethical Breaches and Professional Misconduct

The reckless application of AI in legal practices invites ethical breaches and professional misconduct. Unmonitored AI systems presume to make decisions, potentially flouting the ethical standards decreed by legal authorities. The specter of AI bias looms large, capable of distorting decision-making in an unjust and discriminatory manner. Law firms must enforce stringent guidelines and conduct routine audits of their AI tools to uphold ethical compliance, thereby averting any semblance of professional misconduct that could mar their esteemed reputation and credibility.

Case Studies: Success and Cautionary Tales in AI Implementation

Successful AI Integrations in Law Firms

The legal industry has witnessed numerous triumphant AI integrations that have set the gold standard for technology adoption, unequivocally elevating efficiency and accuracy. Take, for example, a prominent U.S. law firm that fearlessly harnessed AI to automate document analysis for litigation cases, substantially reducing lawyers' document review time while magnifying the precision of findings. Not only did this optimization revolutionize the workflow, but it also empowered attorneys to concentrate on more strategic tasks, thereby enhancing client service and firm profitability. In another case, an international law firm adopted AI-driven predictive analytics to forecast litigation outcomes. This tool provided unprecedented precision in advising clients on the feasibility of pursuing or settling cases, strengthening client trust and firm reputation. These examples highlight the transformative potential of AI when integrated into legal frameworks.

Conclusion

Integrating AI within the legal sector is an urgent reality that law firms cannot ignore. While the ascent of AI presents complex challenges, it also offers an unparalleled opportunity to shape AI law, copyright ownership, and AI human rights. To successfully implement AI in legal practices, due diligence on AI technologies, training programs for lawyers, and establishing clear guidelines and ethical standards are crucial. However, risks and moral considerations must be carefully addressed, such as confidentiality and data privacy concerns, intellectual property and copyright issues, and bias and discrimination in AI outputs. Failure to do so can lead to violations of client confidentiality and costly intellectual property disputes. By navigating these risks and pitfalls, law firms can harness the transformative power of AI while upholding legal standards and ensuring a fair and just legal system.

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