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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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Community Spotlights

Community Spotlight: Dr. Detlef A. Huber, Managing Director, AURIGON LRC

By John Freund |

Detlef is a German attorney, former executive of a Swiss reinsurance company and as head of former Carpentum Capital Ltd. one of the pioneers of litigation funding in Latin America. Through his activities as executive in the insurance claims area and litigation funder he gained a wealth of experience in arbitrations/litigations in various businesses. He is certified arbitrator of ARIAS US and ARIAS UK (AIDA Reinsurance and Insurance Arbitration Society) and listed on the arbitrators panel of DIS (German Arbitration Institute).

He studied law in Germany and Spain, obtained a Master in European Law (Autónoma Madrid) and doctorate in insurance law (University of Hamburg).

Detlef speaks German, Spanish, English fluently and some Portuguese.

Company Name and Description:  AURIGON LRC (Litigation Risk Consulting) is at home in two worlds: dispute funding and insurance. They set up the first European litigation fund dedicated to Latin America many years ago and operate as consultants in the re/insurance sector since over a decade.

Both worlds are increasingly overlapping with insurers offering ever more litigation risk transfer products and funders recurring to insurance in order to hedge their risks. Complexity is increasing for what is already a complex product.

Aurigon acts as intermediary in the dispute finance sector and offers consultancy on relevant insurance matters.

Company Website: www.aurigon-lrc.ch

Year Founded: 2011, since 2024 offering litigation risk consulting  

Headquarters: Alte Steinhauserstr. 1, 6330 Cham/Zug Switzerland

Area of Focus:  Litigation funding related to Latin America and re/insurance disputes

Member Quote: “It´s the economy, stupid. Not my words but fits our business well. Dont focus on merits, focus on maths.”

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Announcements Commercial

Manolete Partners Releases Half-Year Results for the Six Months Ended 30 September 2024

By Harry Moran |

Manolete (AIM:MANO), the leading UK-listed insolvency litigation financing company, today announces its unaudited results for the six months ended 30 September 2024. 

Steven Cooklin, Chief Executive Officer, commented: 

“These are a strong set of results, particularly in terms of organic cash generation. In this six-month period, gross cash collected rose 63% to a new record at £14.3m. That strong organic cash generation comfortably covered all cash operating costs, as well as all cash costs of financing the ongoing portfolio of 413 live cases, enabling Manolete to reduce net debt by £1.25m to £11.9m as at 30 September 2024. 

As a consequence of Manolete completing a record number of 137 case completions, realised revenues rose by 60% to a further record high of £15m. That is a strong indicator of further, and similarly high levels, of near-term future cash generation. A record pipeline of 437 new case investment opportunities were received in this latest six month trading period, underpinning the further strong growth prospects for the business. 

The record £14.3.m gross cash was collected from 253 separate completed cases, highlighting the highly granular and diversified profile of Manolete’s income stream. 

Manolete has generated a Compound Average Growth Rate of 39% in gross cash receipts over the last five H1 trading periods: from H1 FY20 up to and including the current H1 FY25. The resilience of the Manolete business model, even after the extraordinary pressures presented by the extended Covid period, is now clear to see. 

This generated net cash income of £7.6m in H1 FY25 (after payment of all legal costs and all payments made to the numerous insolvent estates on those completed cases), an increase of 66% over the comparative six-month period for the prior year. Net cash income not only exceeded by £4.5m all the cash overheads required to run the Company, it also exceeded all the costs of running Manolete’s ongoing 413 cases, including the 126 new case investments made in H1 FY25. 

The Company recorded its highest ever realised revenues for H1 FY25 of £15.0m, exceeding H1 FY24 by 60%. On average, Manolete receives all the cash owed to it by the defendants of completed cases within approximately 12 months of the cases being legally completed. This impressive 60% rise in realised revenues therefore provides good near-term visibility for a continuation of Manolete’s strong, and well-established, track record of organic, operational cash generation. 

New case investment opportunities arise daily from our wide-ranging, proprietary, UK referral network of insolvency practitioner firms and specialist insolvency and restructuring solicitor practices. We are delighted to report that the referrals for H1 FY25 reached a new H1 company record of 437. A 27% higher volume than in H1 FY24, which was itself a new record for the Company this time last year. That points to a very healthy pipeline as we move forward into the second half of the trading year.” 

Financial highlights: 

  • Total revenues increased by 28% to £14.4m from H1 FY24 (£11.2m) as a result of the outstanding delivery of realised revenues generated in the six months to 30th September 2024.
    • Realised revenues achieved a record level of £15.0m in H1 FY25, a notable increase of 60% on H1 FY24 (£9.4m). This provides good visibility of near-term further strong cash generation, as on average Manolete collects all cash on settled cases within approximately 12 months of the legal settlement of those cases
    • Unrealised revenue in H1 FY25 was £(633k) compared to £1.8m for the comparative H1 FY24. This was due to: (1) the record number of 137 case completions in H1 FY25, which resulted in a beneficial movement from Unrealised revenues to Realised revenues; and (2) the current lower average fair value of new case investments made relative to the higher fair value of the completed cases. The latter point also explains the main reason for the marginally lower gross profit reported of £4.4m in this period, H1 FY25, compared to £5.0m in H1 FY24. 
  • EBIT for H1 FY25 was £0.7m compared to H1 FY24 of £1.6m. As well as the reduced Gross profit contribution explained above, staff costs increased by £165k to £2.3m and based on the standard formula used by the Company to calculate Expected Credit Losses, (“ECL”), generated a charge of £140k (H1 3 FY24: £nil) due to trade debtors rising to £26.8m as at 30 September 2024, compared to £21.7m as at 30 September 2023. The trade debtor increase was driven by the outstanding record level of £15.0m Realised revenues achieved in H1 FY25.
  • Loss Before Tax was (£0.2m) compared to a Profit Before Tax of £0.9m in H1 FY24, due to the above factors together with a lower corporation tax charge being largely offset by higher interest costs. 
  • Basic earnings per share (0.5) pence (H1 FY24: 1.4 pence).
  • Gross cash generated from completed cases increased 63% to £14.3m in the 6 months to 30 September 2024 (H1 FY24: £8.7m). 5-year H1 CAGR: 39%.
  • Cash income from completed cases after payments of all legal costs and payments to Insolvent Estates rose by 66% to £7.6m (H1 FY24: £4.6m). 5-year H1 CAGR: 46%.
  • Net cashflow after all operating costs but before new case investments rose by 193% to £4.5m (H1 FY24: £1.5m). 5-year H1 CAGR: 126%.
  • Net assets as at 30 September 2024 were £40.5m (H1 FY24: £39.8m). Net debt was reduced to £11.9m and comprises borrowings of £12.5m, offset by cash balances of £0.6m. (Net debt as 31 March 2024 was £12.3m.)
  • £5m of the £17.5m HSBC Revolving Credit Facility remains available for use, as at 30 September 2024. That figure does not take into account the Company’s available cash balances referred to above.

Operational highlights:

  • Ongoing delivery of record realised returns: 137 case completions in H1 FY25 representing a 18% increase (116 case realisations in H1 FY24), generating gross settlement proceeds receivable of £13.9m for H1 FY25, which is 51% higher than the H1 FY24 figure of £9.2m. This very strong increase in case settlements provides visibility for further high levels of cash income, as it takes the Company, on average, around 12 months to collect in all cash from previously completed cases.
  • The average realised revenue per completed case (“ARRCC”) for H1 FY25 was £109k, compared to the ARRCC of £81k for H1 FY24. That 35% increase in ARRCC is an important and an encouraging Key Performance Indicator for the Company. Before the onset and impact of the Covid pandemic in 2020, the Company was achieving an ARRCC of approximately £200k. Progress back to that ARRCC level, together with the Company maintaining its recent high case acquisition and case completion volumes, would lead to a material transformation of Company profitability.
  • The 137 cases completed in H1 FY25 had an average case duration of 15.7 months. This was higher than the average case duration of 11.5 months for the 118 cases completed in H1 FY24, because in H1 FY25 Manolete was able to complete a relatively higher number of older cases, as evidenced by the Vintages Table below.
  • Average case duration across Manolete’s full lifetime portfolio of 1,064 completed cases, as at 30 September 2024 was 13.3 months (H1 FY24: 12.7 months).
  • Excluding the Barclays Bounce Back Loan (“BBL”) pilot cases, new case investments remained at historically elevated levels of 126 for H1 FY25 (H1 FY24: 146 new case investments).
  • New case enquiries (again excluding just two Barclays BBL pilot cases from the H1 FY24 figure) achieved another new Company record of 437 in H1 FY25, 27% higher than the H1 FY24 figure of 343. This excellent KPI is a strong indicator of future business performance and activity levels.
  • Stable portfolio of live cases: 413 in progress as at 30 September 2024 (417 as at 30 September 2023) which includes 35 live BBLs.
  • Excluding the Truck Cartel cases, all vintages up to and including the 2019 vintage have now been fully, and legally completed. Only one case remains ongoing in the 2020 vintage. 72% of the Company’s live cases have been signed in the last 18 months.
  • The Truck Cartel cases continue to progress well. As previously reported, settlement discussions, to varying degrees of progress, continue with a number of Defendant manufacturers. Further updates will be provided as concrete outcomes emerge.
  • The Company awaits the appointment of the new Labour Government’s Covid Corruption Commissioner and hopes that appointment will set the clear direction of any further potential material involvement for Manolete in the Government’s BBL recovery programme.
  • The Board proposes no interim dividend for H1 FY25 (H1 FY24: £nil).

The full report of Manolete’s half-year results can be read here.

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Commercial Legal Innovation

LegalPay’s CIO Highlights the Opportunities and Challenges for Defense-Side Funding

By Harry Moran |

As the legal funding industry has matured and become a mainstream feature of many jurisdictions’ legal systems, funders are increasingly looking at ways to diversify their activities.

In an article for Insolvency Tracker, Tanya Prasad, CIO of LegalPay, addresses the niche topic of defense-side funding and examines whether there is potential for this type of legal funding to grow in the same way that plaintiff funding has over recent years. Prasad notes that in an environment where “the demand for risk management tools in litigation grows”, large corporations may look to third-party funders to help supplement legal budgets “while potentially achieving favourable outcomes”.

Prasad acknowledges that compared to traditional plaintiff-side funding, defense-side funding “comes with unique challenges”. Whilst claimants may seek to maximise their financial returns in the form of damages and compensation, a defendant will “generally focus on minimizing loss exposure.” As a result of this difference in goals, Prasad suggests that funders would need to not only “employ creative pricing structures”, but would also need to find new metrics to define success.

The latter point is one that Prasad argues is key to creating a viable defense-side funding ecosystem, noting that “establishing a clear definition of success” may have different parameters for different defendants. Examples of this could include structuring funding agreements to incorporate “avoided loss” measures, which would define success based on “achieving a favorable settlement or dismissal at a lower financial cost than anticipated.”

If these difficulties that Prasad highlights can be overcome, she suggests that “defense-side litigation funding has the potential to redefine legal finance, supporting fair representation for both plaintiffs and defendants and expanding access to justice across the board.” Additionally, Prasad points to a handful of examples where defense-side funding has been successfully employed, such as the Gillette v. ShaveLogic case, where Burford Capital provided funding for the defendant to successfully oppose Gillette’s claims of trades secret misappropriation and unfair competition.