Topics
Artificial Intelligence Resources
Blog Post
Generative AI: Near Term Opportunities to Enhance Human Insight and Efficiency in Legal Use Cases
FTI Technology’s data innovation lab leads research, development and testing for disruptive technologies. With a long track record of working with advanced machine learning and analytic technologies, the team is increasingly evaluating generative artificial intelligence and the role of large language models such as ChatGPT in disputes and investigations, compliance and other use cases. Several FTI Technology experts who are involved in this testing and development work recently hosted legal industry colleagues in London to discuss practical generative AI applications and participate in live, hands on lab testing. This article captures key takeaways from the event.
Blog Post
Understanding the Intersection of Compliance and Generative AI
When Department of Justice Deputy Attorney General Lisa Monaco spoke at the American Bar Association’s National Institute on White Collar Crime in March, she clarified the department’s views on the role of artificial intelligence in committing, monitoring for and prosecuting against corporate crime. A key point was that legal and compliance teams should be proactive about the use of AI within their organizations as a potential source of risk, and that the DOJ may take action against organizations for failing to properly monitor and govern AI use.
White Paper
How Compliance and Risk Officers Can Balance the Benefits and Risks of AI in Compliance
Artificial intelligence (AI) is revolutionizing industries and the way we interpret data, with generative AI leading as a groundbreaking subfield. Generative AI offers immense potential for streamlining numerous compliance functions and operations. However, these advances also come with significant compliance challenges and digital risks. Without diligent oversight, poor application of generative AI technologies can open organizations up to significant corporate compliance, regulatory, litigation, and reputational risks. This white paper explores the role generative AI may play in reshaping organizational approaches to risk and compliance. It will discuss ways corporate compliance officers can proactively mitigate risks and enable an approach of informed and vigilant adoption.
Blog Post
What 2024 Holds for Blockchain and Digital Assets
Since the dawn of blockchain, each year has brought a flurry of excitement, unfulfilled hype, disruption, setback and innovation. The coming year will be no exception. Organizations have an opportunity to engage in emerging opportunities by watching developments closely and implementing risk-conscious strategies for pilot projects and investments in blockchain and digital assets.
Blog Post
The global hype around generative artificial intelligence such as ChatGPT is larger, fiercer, and more speculative than many of the previous waves of technological disruption. However, the current fascination with ChatGPT's text-based language capabilities often overlooks the equally impactful and potentially riskier content AI can generate in the form of audio, text, video and images.
White Paper
Forecasting Digital Risk in 2024
After a feverish period of disruption across many facets of technology, it’s becoming more difficult to delineate between what could happen and what will happen in the months and year ahead. Business leaders often rely upon industry forecasts to prepare for anticipated change that is likely to impact their operations, go-to-market strategies, hiring plans, etc. Yet in a hype-filled environment in which it seems like anything is possible, organizations must be highly discerning about how they prepare for evolving digital risk and establish resilience for future technological disruption.
White Paper
Digital risk has triggered a fundamental shift in the corporate legal department. Against a tremulous cultural, economic and geopolitical backdrop, numerous issues have cascaded into tipping points across the legal function. Data-centered regulatory activity, privacy requirements, generative artificial intelligence disruption, technology advancement and an expansive web of emerging data sources are now impacting the way legal departments prioritize resources. In addition to placing tremendous demand on in-house counsel, this environment has led to a decline in the general counsel’s feelings of preparedness for every major risk category.
Video
Ensuring Appropriate Safeguards in an AI-Driven Environment
Experts Wendy King (FTI Consulting), Danielle Panetta (Goodwin Proctor), Michael Rispin (Sprout Social), and Lisa Lahey share stories about maintaining best practices when faced with disruptive new technologies like generative AI.
Blog Post
Looking Back and Ahead at The General Counsel Report for EMEIA
The role of the general counsel has changed significantly in the last three years, and more change is underway. As chief legal officers have become more squarely established as strategic business leaders, they have also taken on more responsibility and a wider field of issues for which they act as key decision makers. While this change is beneficial to reducing corporate risk and improving organisational efficiencies, it has also caused legal departments to feel more strains on resources than ever before.
Video
Driving Innovative Client Solutions
At FTI Technology we drive innovative client solutions to solve data-related business challenges. Innovative technology, expert services and tenacious problem-solving provide our global clients with defensible and repeatable solutions. Technology plays a key role in turning large and complex volumes of data into information that enables businesses to make informed decisions.
Blog Post
FTI Technology’s data innovation lab leads cutting-edge research, development and testing across the most disruptive technologies. Our experts have a strong track record of creating novel solutions, workflows and practice areas in e-discovery, digital forensics, analytics, machine learning, emerging data sources, blockchain and more. This article series provides a peek behind the curtain of our ongoing work relating to the implications of ChatGPT and other large language models (LLM) in e-discovery.
Video
Exploring the Potential Impact of Generative AI on Legal Operations
Presentation to the Association of Corporate Counsel on ethical considerations and pitfalls.
Blog Post
FTI Technology’s data innovation lab is committed to leading research, development and testing at the front end of the most disruptive technologies. Our experts have a strong track record of pioneering solutions, workflows and practice areas in e-discovery, digital forensics, analytics, machine learning, emerging data sources, blockchain and more. This article is the first in a series of posts that will share findings from our labs relating to the implications of ChatGPT and other large language models (LLM) in e-discovery.
Blog Post
Q&A: A Glimpse at Digital Risk Management in Switzerland
Sacha Truffer joined the FTI Technology team in Switzerland as one of the pioneering team members in the country. Sacha’s background includes more than 20 years of investigations and digital forensics expertise, having more than a decade in the insurance industry as an executive overseeing investigations of claims fraud and internal fraud. This Q&A provides more insight into Sacha’s outlook regarding investigations and other risk areas for clients in Switzerland.
Video
What AI Can Learn from Privacy: Recommendations for AI Governance
FTI Consulting Senior Managing Director, Nina Bryant, joined IAPP Principal Researcher, Katharina Koerner, CIPP/US to discuss findings from the IAPP report on responsible AI and privacy. This webcast covers:
Video
Findings From the Report on Responsible AI and Privacy Governance
FTI Consulting Senior Managing Director, Jake Frazier, joined IAPP Principal Researcher, Katharina Koerner, CIPP/US to discuss findings from the IAPP report on responsible AI and privacy. This webcast covers:
Blog Post
When Google engineer Blake Lemoine announced last year that the AI chat bot tool he had helped develop had achieved sentience, and that it possessed a soul, many people reacted with fear and concern. That wave continued with the seemingly overnight emergence of ChatGPT into the mainstream. To many, these developments seemed like science fiction come to life — that technology advancement had unwittingly crossed into an age where artificially created intelligence was on track to supersede that of its creators. The resounding question was: will this lead to mass job losses, or worse?
Blog Post
Set the Story Straight: How Analytics-Driven Storytelling Reduces Compliance Risk
Organizations are struggling to manage risk and compliance. A Ropes & Gray survey found that 57% of senior-level executives rank this as one of the top two risk categories they feel least prepared to address. Since that survey, regulators around the world have ratcheted up their enforcement efforts — the SEC announced a more aggressive approach (and reported a 7% increase in enforcement actions from 2020 to 2021), the DOJ issued statements about its revitalized intentions to “be bold” against white-collar crime, the FTC is placing greater scrutiny on the relationship between market dominance and consumer data privacy harm and countless authorities around the globe have issued new regulations relating to digital assets, security, privacy, AI and more.
White Paper
2023 Privacy and AI Governance Report
This report explores the state of AI governance in organizations and its overlap with privacy management. We focused on companies’ change processes when striving to use AI according to responsible AI principles such as privacy, accountability, robustness, security, explainability, fairness and human oversight. This study aims to report on different approaches to governing AI in general and to explore how these nascent governance efforts intersect with existing privacy governance approaches
Blog Post
Understanding the Differences and Benefits between Artificial Intelligence and Machine Learning
Artificial intelligence (AI) and machine learning (ML) may be among the most over-hyped buzzwords of the last decade. Still, behind the hype, these technologies have tangible and meaningful applications that can help companies gain insights into large volumes of unstructured data, support predictive decision-making, improve customer experience and detect vulnerabilities, among other things. Given the accelerating pace of change within organizations and across technology advancements, it can be difficult for business leaders to stay abreast of the benefits and risks associated with AI and ML as well as the key differences between these evolving technologies.
Blog Post
The AI and Investigations Paradigm: Faster, More Precise, Defensible
The average e-discovery matter today involves more than 6.5 million pages of documents. In complex, multi-national matters and high-stakes internal investigations, data volumes are often much higher. Outdated manual processes and reluctance to leverage advanced tools to find key information from within large, diverse data sets are resulting in excessive time, cost and complexity in bringing matters to a swift and defensible conclusion.
Video
Emerging Fairness and Transparency Considerations in Artificial Intelligence
In this webinar Jon Asprey, (Managing Director at FTI Consulting), Thomas Hammp, (Senior Technical Staff Member – AI Governance at IBM) and Oscar Hayward (Associate at Latham & Watkins), explore what organisations could and should be doing to prepare for increased AI adoption.