Publicly-listed advisory group, FTI Consulting, has launched a range of genAI skills focused on ‘disputes, investigations, antitrust, and data breach responses’. It joins a growing number of businesses rolling out collections of LLM-driven capabilities for legal use cases.
The new features will be branded ‘IQ.AI by FTI Technology’, and are described as ‘a proprietary combination of workflows and expertise for applying industry-leading AI technologies in legal and regulatory matters’.
The new skills cover:
- ‘Investigations: Includes document summarization to quickly and defensibly generate overviews, extract key facts, develop case chronologies and enhance human review.
- Data Breach: Enables the quick identification and extraction of personally identifiable information, personal health information and other sensitive data for breach response and data protection compliance during legal and regulatory document productions.
- Antitrust: Features can include monitoring in support of compliance with antitrust and other regulations, including oversight for prohibited behaviours within enterprise communications platforms and chat applications and customized analytics to reduce risk across large complex datasets.’
As one can see, they’ve tapped several skill areas where LLMs do well, e.g. summarization. The move makes a lot of sense and follows the group’s long-term focus on eDiscovery technology.
Sophie Ross, Global Chief Executive Officer of FTI Technology, commented: ‘The use of advanced analytics and AI to support defensible, efficient, insightful discovery has long been embedded in our DNA, and our teams have successfully applied numerous models and algorithms to accelerate fact-finding for hundreds of client matters globally.
‘We have made significant investments in AI research and development, working with trusted software providers and hiring data scientists with e-discovery expertise to underpin our IQ.AI offerings. We will continue to enhance and build upon these capabilities as AI technology and regulations evolve, serving as a trusted advisor every step along each client’s AI journey.’
And you may then say, great, but why use FTI for this work? Interestingly, Jon Chan, a Senior Managing Director within its E-Discovery Consulting & Services practice, argues that clients are worried about the ‘reliability of large language models’ as well as if a corporate’s AI projects may ‘introduce compliance concerns’. The answer, Chan stated, is for corporates to use an organisation such as FTI, which is already grappling with these challenges.
It’s an argument that may well work for some corporations, but as an earlier article in Artificial Lawyer today noted, a growing number of inhouse lawyers are increasingly comfortable with using genAI within their legal team and also see less need to send routine work to external advisers.
The question then – as explored in the AL article – is whether ALSPs will have to take on more matters to get economies of scale and drop their prices for handling such volume work in order to provide a solid reason for not keeping it inhouse.
As with all new technology, genAI creates as many economic impacts as it does changes to work processes.