Ruggero Golini’s Post

A great read from Nick Huber in Financial Times on why AI agents still need a human in the mix for legal tasks. “'What we’ve found is [an] expert human with an agentic AI solution will always outperform an expert human without that solution, or that solution without the expert human,' says co-founder and chief executive Omar Haroun T Eudia."

Generative AI hit legal technology a couple of years ago; now AI agents are emerging as a new subset to think about. Agentic AI can perform series of tasks on its own — make decisions, take action or solve problems — and could help hard-pressed legal teams. At least, that is the promise - as this Financial Times piece by Nick Huber puts it; plus oberservations from Salesforce, Eudia, Legora What is the role of the human lawyers? Is the legal industry ready? #legaltech #agenticAI https://lnkd.in/eAyQCsp9

The rise of AI agents speaks volumes about the future of automation in handling complex tasks, yet legal teams tread with caution. As these advanced tools promise greater efficiency and precision, the human element remains crucial for legal tasks that demand nuance and strategic judgment. This intersection of AI capability and human oversight continues to define the legal technology landscape. Are we ready to embrace this hybrid approach fully, or is there more groundwork to be laid? https://lnkd.in/ebHGRWqR

Thinking of integrating AI into your legal workflows? Here are 5 practical tips to ensure your legal AI rollout delivers real impact, from early buy-in to measurable outcomes. Read the full roadmap: https://lnkd.in/gsKGiT_u. #LegalTech #LegalAI #InnovationInLaw

Understanding agentic AI—its capabilities, limitations, and applications—will be crucial as it becomes more prevalent. Learn what distinguishes agentic AI from existing legal technology and explores its potential impact on how legal professionals work.

Not so secret agent. My Financial Times article about AI agents in the legal sector. The software - also known as agentic AI - is tipped as the next-big-thing in artificial intelligence. It promises to handle ever more complex jobs autonomously and fast. But legal teams are cautious. My 48th article for the FT and my tenth or so about legal tech, which is becoming one of my main specialisms within tech. I spoke to company legal departments using AI agents, tech analysts and suppliers of the tech. There's a lot of hype about artificial intelligence tech in business, including the legal sector. Experts told me that it could be a transformative technology, but also that - as ever in tech - software suppliers' marketing pitches are typically at least two to three years ahead of the norm in business. For big gains in productivity and time savings, companies need to give AI agents autonomy. But few - if any companies - seem willing to do that. Humans fact checkers remain very much "in the loop". #legaltech #AgenticAI #legal https://lnkd.in/eM6gc4xH

Will Artificial Intelligence Replace Lawyers? No, AI will not completely substitute for lawyers. As we consider the question “will artificial intelligence replace lawyers,” we see that automation and productivity increases in lawyers perhaps wouldn’t have been possible without advanced AI. Approximately three out of ten legal professionals are now using artificial intelligence (A.I.), but human beings are still needed for judgment, advocacy skills, and client relationships. Lawyers who adapt to AI will outperform those who don’t. https://lnkd.in/dCm8d-mu #AIAgency #ArtificialIntelligence #Automation #AIConsulting #AIForBusiness #DigitalTransformation #FutureOfWork #BusinessAutomation #AIIntegration #AIEntrepreneurship #AIMarketing #AIInnovation #AIinBusiness #AITrends #TechForBusiness

As the Financial Times highlights, AI agents are showing strong potential in legal tech—accelerating processes like compliance checks and contract reviews. But challenges around accuracy and liability mean legal teams still insist on human oversight. This reflects a broader truth: in order for AI to scale across the enterprise, it must be both powerful and trustworthy. That’s why at Mindbreeze, we place accuracy, transparency, and context at the center of our AI-powered knowledge management solutions. By grounding responses in enterprise data, we ensure organizations can rely on AI to support critical decisions. Full article available here: https://lnkd.in/ebHGRWqR? #Mindbreeze #EnterpriseAI #DigitalTransformation

Interesting AI Legal News this week: A new benchmarking study reported by Artificial Lawyer shows that AI drafting tools are catching up to, and sometimes surpassing, human lawyers in reliability and usefulness. On average, human lawyers produced reliable drafts in about 57% of cases, while the best AI tool reached 73% reliability. AI tools were far more consistent than lawyers in flagging potential contract risks. Specialised legal AI tools and general LLMs performed at a similar level, however, the real differentiator was how well the platform integrated into a lawyer’s workflow. The strongest outcomes came from humans and AI working together, achieving 61.5% reliability. AI shines in handling boilerplate drafting, while lawyers bring strength in nuance, context, and interpretation. https://lnkd.in/dqYA_kp9

AI was supposed to cut costs. But in some law firms? It’s being used to inflate chargeable hours. According to a new report by Legal Cheek, some lawyers are using AI tools not to streamline work, but to prolong it — increasing billable hours rather than lowering costs for clients. AI’s role isn’t just technical—it’s fundamentally a question of trust. With public confidence in legal AI already low and people still favouring traditional lawyers over AI-driven service, the path forward depends on putting ethics and transparency front and centre. And this isn’t just a legal industry issue. Across sectors, the real ROI of AI comes from solutions that are: - Transparent and explainable—clients know how outcomes are produced. - Aligned to both compliance, internal team and customer outcomes—not just quick wins or flashy automation. - Rooted in robust, ethical frameworks—so trust is earned (and protected) at every step. Responsible AI and transparent practices aren’t just “nice-to-have” — they’re becoming essential to lasting success and value.