By Ari Kaplan and Jonathan Rubinsztein
Ari Kaplan speaks with Jonathan Rubinsztein, the CEO of Nuix, a leading provider of investigative analytics and intelligence software.
Ari Kaplan
Tell us about your background and your role at Nuix.
Jonathan Rubinsztein
I am a serial CEO of companies in transformation, and I was super excited by the opportunity at Nuix. It has great world-class products, great people, and a compelling purpose, the purpose being a force for good in the world and to try to help our customers get to the truth, get to justice, and get there quickly was super exciting for me. We have transformed the company over the past two years by connecting with our customers, understanding their needs, and sharpening our products to meet them. As for our legal customers, we are very excited about our five differentiated offerings or our thoughts around our solutions that link to what we think our legal customers need. We want to provide a full EDRM-centric, end-to-end solution that satisfies the full array of customer requirements. Our data expertise is also a big differentiator. Understanding data is core to everything we do and we are working critically to manage larger data sets, particularly for complex data privacy matters, large investigations, and AI. Naturally, AI is critical, but Gen AI is table stakes and we have embedded NLP at the heart of everything we do as reducing data bloat is crucial, reducing the total cost of a case. Understanding the full corpus of data is also super valuable. We also focus on deploying our software behind their firewall or in the cloud, according to the preferences of our customers.
Ari Kaplan
For what types of matters is Nuix most often used?
Jonathan Rubinsztein
Nuix has been used for some of the world's largest and most complex investigations and analytics programs. Over the last 20 years, we have been helping our customers solve data challenges, including a vast array of data interrogation needs, from data privacy and cyber breach to fraud investigations and ECA. These use cases then inform our legal solutions so that we process more, review deeper, and automate faster to get to the answer quicker. The convergence across those means that orchestration becomes key so Nuix products integrate with existing technologies to make enterprise-wide data, structured and unstructured, searchable. One large government agency recently told us that before Nuix, it was taking them six weeks to complete a Freedom of Information request, and now they can do it in 12 hours.
Ari Kaplan
Nuix has launched NEO, a unified platform to apply data intelligence across data privacy, fraud and investigations, and e-discovery matters. What are the benefits to organizations in this singular approach?
Jonathan Rubinsztein
Nuix NEO is a unified platform. Previously, we had components that we'd assemble to provide a unique and bespoke solution, but we have realized that training a platform means that we can repeatedly build intellectual property and it allows us to be faster, easier, and smarter in handling repeatable use cases. Ultimately, a unified platform that ingests, processes, contextualizes, and analyzes the data, and then reviews in a much more streamlined and efficient manner, with AI, creates risk, efficiency, and cost-savings opportunities. NEO provides a singular approach, and this supercharged orchestration allows us to reduce the complexity of managing multiple tools. It also makes it easier for law firms to integrate across their platform and the existing technology legal stack. This consistency is crucial for maintaining accuracy and reliability in legal proceedings and investigations, which makes cross-functional collaboration across teams easier. And, of course, the one thing that differentiates NEO is our no-code AI model builders.
Ari Kaplan
How do you uniquely incorporate artificial intelligence into your technology?
Jonathan Rubinsztein
Our NLP is a cornerstone of our new NEO platform and we are integrating it into our Discover review platform, which will be in production by the end of June, so we can use large language models that are trained on data owned by our clients and residing behind their firewalls. Being able to train our AI on your large language model behind your firewall is supercritical and having it fully integrated into our platform eliminates the need to shift data sets from our platform to another platform and back into a third.
Ari Kaplan
How does your team leverage artificial intelligence internally for its day-to-day activities?
Jonathan Rubinsztein
AI is now everywhere, and is particularly prominent in risk and compliance. We have our own technology to find data and efficiently manage our information requests. I am also seeing more use cases in marketing and penetration testing. AI has become a tool that empowers humans to do things faster and better, and I am seeing the manifestation of that everywhere.
Ari Kaplan
As the leader of a global company, how do you simultaneously manage client expectations in terms of the capabilities of advanced technology and also ensure compliance with internal policies associated with its usage?
Jonathan Rubinsztein
Managing client expectations is absolutely crucial and we honor them through open and honest conversations about our advanced technologies and how we use them to achieve specific outcomes. It is very easy to sell the future, but I think the reality is setting realistic expectations and being very clear about how that technology aligns with our company's commitment to being a force for good by finding truth in the digital world. That positive affirmation becomes part of our DNA and that overall purpose statement affects everything we do. Also, compliance with internal policies is just a non-negotiable and means that we have to safeguard our client data and maintain the highest ethical standards.
Ari Kaplan
As the legal industry enters its second full year exposed to generative AI, what do you expect to see in terms of the array of applications?
Jonathan Rubinsztein
We have seen the integration of AI accelerate, especially in legal review. We must ensure that the need for speed is not at the expense of accuracy, integrity, and defensibility. We have to ensure that AI makes legal tech more and not less inclusive, and that you don't need coders to use the technology to serve your business purpose, which is why we have a no-code AI structure. Finally, we need to embrace AI and produce results with a process that is traceable, transparent, and defensible. As we mature in using AI in our legal tech and AI becomes standard within the legal industry, I expect that the demand for ethical, defensible AI will grow.
Ari Kaplan
How do you see e-discovery evolving?
Jonathan Rubinsztein
We are absolutely seeing an enduring appetite from our customers who want both cloud and on-prem solutions, but also want on-prem solutions. We will continue to see increased use of AI, predictive coding, concept clustering, and advanced analytics, which are increasingly employed to enhance the efficiency of document review by reducing the time and cost associated with e-discovery. There is more focus on data privacy regulation, such as the GDPR, among other laws, so more privacy-aware e-discovery processes are becoming a priority. And, of course, remote work is here to stay, so remote e-discovery capabilities are becoming crucial. Finally, with continuous regulatory changes, we need to adapt our e-discovery practices to remain compliant.
About the Author
Ari Kaplan (http://www.AriKaplanAdvisors.com) regularly interviews leaders in the legal industry and in the broader professional services community to share perspectives, highlight transformative change, and introduce new technology at http://www.ReinventingProfessionals.com. Click here to listen to the conversation.
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