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Evolving your litigation tech stack with case strategy software

Brett ChalmersLitigation teams face challenges that are growing in scope and intensity. The number of cases is increasing, and each case is becoming more complex. In addition, data volumes continue to rise, and clients expect faster insights and more transparency. Many litigation support teams have adopted AI-enhanced case management and preparation software to accelerate administrative tasks and optimize workflows. However, until recently, advanced tools designed for litigators to enhance case strategy have been limited.

Augmented Lawyering: The Human Side of AI Adoption at Saga

Bosse LangaasAs legal AI adoption accelerates, one company has built its success on a deceptively simple principle: people first, technology second. Lexpo interviewed Bosse Langaas, CEO of Lexpo’26 Gold Sponsor Saga, to explore how the Norwegian legal AI pioneer is helping firms move from curiosity to confidence through structured training, transparent “glass-box” design, and co-creation with lawyers themselves. From the Saga Amplify programme to Saga Lab, the company’s philosophy of augmented lawyering places human expertise at the heart of every innovation—ensuring that lawyers evolve with AI, not around it.

Boards, Not Buzzwords: The Real Driver of Legal AI Adoption

Maged HelmyAhead of Lexpo’s 10-year edition, we spoke with Maged Helmy, founder and CEO of Newcode.ai, about AI privacy done right, what agentic workflows truly mean, why hybrid (on-premises plus cloud) models are set to define legal AI, and why firms should beware of ‘innovation by press.’

AI and the IP Legal Landscape: Disruption, Opportunity, and the Path Forward

Toni NijmThe legal industry is no stranger to transformation, but the pace and scale of change driven by artificial intelligence (AI) is unlike anything previously seen. Nowhere is this more evident than in the intellectual property (IP) space, where AI is not just enhancing workflows, but redefining them.

As someone who has spent over two decades in the IP space, from patent attorney to founder of SaaS platform companies, and now leading product innovation at Anaqua, a leader in the IP management market, I’ve seen firsthand how technology can reshape the way legal professionals deliver value. As AI accelerates that shift, law firms must adapt or risk being left behind.

Modern, AI-Enhanced Case Management and Preparation as a Competitive Advantage in Litigation

KayannThe convergence of two trends—rising generative AI (GenAI) adoption across law firms and exploding data volumes putting pressure on litigation teams—makes this an ideal moment for law firm leaders to reevaluate their technology infrastructure, particularly their case management and preparation solutions. 

Why is this a tipping-point moment?

“The Traditional DMS Will Disappear – the Future Is AI-Driven”

Marcel LangEpona’s CEO Marcel Lang reflects on the company’s growth under Main Capital and argues that the traditional DMS is on its way out. In this interview, he outlines how Epona positions itself as a true challenger to iManage and NetDocuments, why Microsoft 365 and AI are set to transform the legal DMS landscape, and what firms risk by holding on to legacy systems. For Lang, the future of document management is not about storing files — it’s about intelligently connecting information across the tools lawyers already use every day.

ILTACON2025 Recap: Beyond the AI Buzz – A Grounded Take on Legal Tech

Marjan van HamAfter another packed ILTACON week, I returned with fresh insights, a few lingering questions, and a dose of AI fatigue. Once again, artificial intelligence dominated the agenda. Its growing influence is undeniable, but the conversation risks becoming one-dimensional.

Having worked in legal tech and change management for over two decades, I was encouraged to see more recognition that success with new tools—especially AI—is less about technology and more about people, culture, and workflows.

Rethinking Legal Operations to Support Mental Health

Akshay VermaThe pressure in legal departments isn’t just intense. It’s constant. Behind every polished contract and compliance checklist are professionals quietly dealing with anxiety, exhaustion, and burnout. In 2024, nearly 70% of lawyers reported experiencing anxiety, while over a third said they were feeling depressed. For most, the issue isn’t personal. It’s structural, driven by unrelenting workloads, complex regulations, and environments that leave little room to recover.

From risk to ROI: The business case for AI governance

Antony WellsArtificial intelligence has emerged as a transformative force in the legal industry, promising increased efficiency, reduced costs and enhanced service delivery. From contract analysis to legal research, AI tools are reshaping the way we work. Yet amid the innovation rush, a critical success factor is often overlooked: Information governance (IG). Without robust governance frameworks, organisations risk not only diminished returns on their AI investments but also significant compliance failures and ethical breaches. As AI adoption accelerates, the business case for implementing strong information governance has never been more compelling.

Responsible AI in legal practices: A guide to effective governance and implementation – Part II

Kandace DonovanBuilding on the foundational elements of AI governance discussed in Part 1, this second instalment explores the practical aspects of implementing and maintaining effective AI governance in legal practices. We will explore specific tactics for implementing an AI governance framework, including choosing and adapting existing frameworks, continuous monitoring and assessment, training and awareness programs, and creating AI ethics committees.

Responsible AI in legal practices: A guide to effective governance for legal IT professionals

Kandace DonovanThe legal industry is undergoing significant transformations due to the increasing adoption of Artificial Intelligence (AI). AI tools enhance law firms' efficiency in tasks such as document review and predictive analytics. However, AI also introduces challenges, including ethical concerns, data security risks, and regulatory compliance issues.


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