Topics
Artificial Intelligence Resources
Blog Post
Q&A: Guardrails for Third-Party AI Tools
As organizations look to leverage the power of artificial intelligence across the enterprise, privacy and governance professionals are working to establish program guardrails. When implementing third-party software, unique considerations and controls are needed to uphold strong governance and risk management. In this Q&A, Dera Nevin, Managing Director, and Tracy Bordignon, Senior Director, in FTI Technology’s Information Governance, Privacy & Security practice, discuss approaches to assessing third-party AI risk and mitigation strategies.
The volume, velocity and variety of data involved in litigation and investigations continue to grow unabatedly. Whereas traditional machine learning protocols focused primarily on standard first-pass review, emerging data sources and challenging documents continue to cause challenges, significantly impacting the ability of clients to manage costs
IQ.AI for Emerging Data Sources
An array of emerging digital sources, including chat and instant messaging applications, collaboration tools such as Slack, social media and cloud-based platforms have become standard inside organizations around the globe. Yet many companies struggle to control the volume, versioning and complexity of these new data formats.
As data breaches grow in frequency, complexity and severity, organizations are under increasing pressure to quickly assess large volumes of compromised data to understand privacy and regulatory exposure. Timely notification to regulators and affected individuals depends on a clear understanding of what personal data has been exposed, who it relates to and the jurisdictions involved.
Contract analysis is essential for maximizing business value, reducing risks and responding to corporate and regulatory events. Yet many companies are unable to locate specific contracts or quickly obtain answers to questions across their contract portfolio due to accelerated timelines, limited access to technology and already stretched resources.
White Paper
Data Classification in Microsoft 365 and Pragmatic Copilot Adoption
As artificial intelligence transforms the use of enterprise technologies, a foundation of robust data governance has never been more critical. Establishing a data governance framework that is resilient against AI risks and flexible to ongoing technological change involves a series of steps, many of which were outlined in a previous FTI Technology white paper, “Getting AI Ready through Effective Information Governance.”
Blog Post
AI Literacy: A Critical Imperative in Future-Proofing Businesses
As artificial intelligence applications continue to continue to proliferate across industries and use cases, businesses face a critical challenge: bridging the gap in AI literacy.
Blog Post
FTI Technology’s Proprietary Artificial Intelligence Solutions Transform Every Phase of Review
In high stakes discovery and investigations, in-house legal teams and law firms are often overloaded with challenges in uncovering key information, insights and risks across complex data types and large document populations. Meanwhile, demand for artificial intelligence solutions is surging in the legal field, with lawyers chasing clarity around how they can leverage emerging technology in practical, responsible ways.
Blog Post
U.K. Lawyers Discuss Generative AI in E-Discovery
If 2024 was the year of artificial intelligence, 2025 is going to be even more intense, as organizations, coming out of the trough of disillusionment, look to embed solutions across their organisations. Attention will increasingly be given to interesting experiments, testing new use cases and embedding ways of calculating return on investment as the legal industry moves toward increased adoption.
Blog Post
Navigating the Shifting Sands of AI Regulation: A Guide For Compliance Officers
The change in U.S. Presidential administration has introduced a sea change in the U.S. government’s approach to artificial intelligence (AI) regulation. While reduced regulatory burden and new innovation are anticipated, impending changes may also trigger new challenges for chief compliance officers (CCOs) tasked with understanding and keeping pace with evolving regulation and compliance-related AI risks. Adopting controls and foundational governance best practices will help to mitigate these risks and help CCOs and corporate stakeholders remain nimble amid ongoing regulatory uncertainty.
White Paper
The General Counsel Report 2025: The Data Guardian in Chief
The General Counsel Report 2025: The Data Guardian in Chief—a co-effort by FTI Technology and Relativity—examines the challenges corporate legal departments face in today’s dynamic risk environment. With growing attention on disputes and investigations, data-driven regulations, privacy requirements, AI and a wide range of emerging data sources, chief legal officers are asserting their role as a strategic advisor and data guardian for the business.
Video
Implementing Third-Party AI Tools: Guardrails and Vendor Risk Management
As organizations look to leverage the power of AI across the enterprise, privacy and AI governance professionals are working to establish program guardrails and implement governance programs that include third-party software. In this session, the IAPP is joined by Dexcom Global Privacy Senior Manager and AI Governance Chair Aveen Sufi and FTI Consulting Information Governance, Privacy, and AI Directors Dera Nevin and Tracy Bordignon who discuss approaches to assessing third-party AI risk and implementing governance and mitigation strategies. Their conversation expands on concepts covered in the IAPP-FTI Technology AI Governance in Practice Report 2024.
Blog Post
Measure Twice, Cut Once: Generative AI for E-Discovery in Public Sector Disputes
Like nearly every industry, the public sector is considering whether and how they may be able to use artificial intelligence in their day-to-day work. In e-discovery, practical use cases are already in play. Public sector legal teams can build upon these to achieve new efficiencies and to lay a foundation for future adoption of new forms of AI and generative AI as they become more reliable and sophisticated.
Video
Legal Departments and the AI Hype Cycle
Will artificial intelligence replace lawyers or enhance their work?
Video
Smart Adoption - Reducing AI Risk
Jon Chan discusses the challenges and considerations that corporations will encounter as generative AI adoption grows.
Video
How are general counsels currently thinking about AI?
Video
Data Governance Approaches to Mitigating AI Risk
Data has become the lifeblood of businesses, and in turn, the lifeblood of artificial intelligence (AI) applications. Akin to a living organism, data is generated, enhanced, changed, harvested, and reused to build and operate AI systems.
Blog Post
Discussing Compliance and Anticorruption in Germany
In early October, DKN Networks hosted an annual summit for legal and compliance professionals in Germany. Managing Director Gokce Akkahve presented at the event, discussing the impact of generative artificial intelligence on the compliance function. She shared use cases and recommendations for how compliance teams can effectively leverage AI to help address growing challenges and demand. In addition to examining the latest developments in generative AI, Gokce and other FTI Technology colleagues spoke with attendees and engaged in sessions throughout the event. Key takeaways from the conference are covered in this post.
Case Study
A financial services institution was seeking to deploy Copilot across its Microsoft 365 environment as part of a broader objective to leverage artificial intelligence to improve employee efficiency and work experience. With a robust risk management program in place, the company understood the importance of testing and evaluating the legal and regulatory risks associated with the new generative AI tool. FTI Technology is a longstanding trusted advisor to the company across information governance, e-discovery and digital risk, and was engaged to conduct a robust governance assessment during a contained project pilot.
The growing demand for AI solutions is increasing pressure on legal, compliance, and corporate business functions to find practical, cost-effective use cases that do not increase risk. While AI, particularly generative AI, has potential to transform the legal landscape, it’s essential that legal and compliance teams trust the technology’s results. Because of these factors, many organizations are struggling to define effective AI strategies and demonstrate the tangible value of their AI initiatives.
White Paper
Intentional Disruption: Synchronizing Strategy, Technical Needs and Risk Along the AI Journey
A new class of technological force has descended on society and business with the recent breakthroughs in generative artificial intelligence. In the span of a few years, a decade’s worth of change has taken root. That change is barreling forward so rapidly and prevalently that regulation, commerce, ethics, data protection, business functions, culture and governance are ill-equipped to keep up. At the same time, opportunity abounds.
Blog Post
FTI Technology’s data innovation lab leads research, development and testing for disruptive solutions. Working with advanced machine learning and analytic technologies, the team is charting the strategic direction for generative artificial intelligence in legal services. FTI Technology experts involved in this testing and development work recently hosted legal industry experts in Dubai to discuss the benefits of AI experimentation and participate in live, hands on lab testing. This post shares key insights from the event.
With private investment, global adoption rates, and regulatory activity on the rise, AI is becoming a strategic priority for organisations and governments worldwide. While the advent of AI technologies presents unprecedented opportunities for individuals and businesses alike, the increased reliance on AI systems also presents potential risks.
Video
The top 3 things that should be front of mind for law firms in 2024 are AI, AI and AI again.
Video
Using Metrics, Data, and Technology to Optimize Your Legal Ops Function
The rise of generative AI has not changed the key performance indicators of most law departments, which continue to focus on cost and efficiency. Since “what gets measured gets managed,” legal operations professionals must continue to identify and track key metrics in order to maintain alignment with the department's success factors.
Video
In 2024, legal departments are navigating a landscape marked by heightened attention to data-driven regulations, privacy obligations, disruptive technologies such as AI, and rapid technological progress. Additionally, the proliferation of emerging data sources further complicates resource allocation and priority setting for these departments. For the fifth consecutive year, FTI Technology and Relativity partnered to commission Ari Kaplan Advisors to survey global corporate chief legal officers. These efforts resulted in The General Counsel Report 2024. This focus on only chief legal officers gives the report a unique perspective.
White Paper
AI Governance in Practice Report 2024
Recent and rapidly advancing breakthroughs in machine learning technology have forever transformed the landscape of AI. AI systems have become powerful engines capable of autonomous learning across vast swaths of information and generating entirely new data. As a result, society is in the midst of significant disruption with the surge in AI sophistication and the emergence of a new era of technological innovation. As businesses grapple with a future in which the boundaries of AI only continue to expand, their leaders face the responsibility of managing the various risks and harms of AI, so its benefits can be realized in a safe and responsible manner.
White Paper
AI Readiness Through Effective Information Governance in Microsoft Environments
In the rapidly evolving landscape of artificial intelligence, generative AI is becoming a disruptive force, reshaping how machines interact with and create content. Advancements in this space offer the potential to unlock unparalleled benefits ranging from speeding up content production to enhancing, streamlining and automating processes. Nevertheless, the rise of generative AI can also pose a significant risk if the underlying information and workflows are poorly governed. Insufficient AI governance can lead to an array of problems, such as biased outputs, data protection vulnerabilities and the potential for making inaccurate or incomplete decisions based upon on out-of-date information.
Video
FTI Consulting's Jon Chan discusses the adoption of new technology and artificial intelligence.
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.
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.