The most dangerous assumption in AI-powered legal work? ⚠️ That someone else will catch the hallucinations. Picture this: 📄 An attorney submits a brief with what looks like solid case precedent. The citations appear legitimate, the formatting is perfect, and the arguments flow smoothly. But buried within are 42 completely fabricated case references. AI hallucinations that don't exist in any legal database. That's exactly what happened in Powhatan County School Board v. Skinger. And it's far from isolated. Recent research shows: → 22 separate court cases in July 2024 alone involved fake AI-generated citations → 40% of legal professionals cite accuracy as their biggest AI concern which is double any other worry → 90%+ believe AI will be central to workflows within 5 years → Sanctions include $1,000 fines and mandatory AI training The reality? These aren't complex corporate cases. They're local disputes: school board fights, divorce proceedings, bankruptcy filings. AI hallucinations are hitting every practice area. But here's what forward-thinking legal teams are doing: ✅ Building verification workflows that treat AI output as first drafts, not final products ✅ Training teams on AI capabilities AND limitations ✅ Using enterprise-grade tools with trusted data sets over free public platforms ✅ Applying existing ethical rules (Model Rules 1.1, 1.4, 1.6) to AI workflows 💡 The shift isn't about avoiding AI—it's about integrating it responsibly. The same verification standards we've always applied to research still apply, whether sources come from books, databases, or AI tools. The question isn't whether AI will transform legal work. It's whether your firm will lead that transformation or let others define the standards for you. How is your practice addressing AI verification in client work?
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Artificial intelligence (AI) Is Reshaping the Legal Profession — Are You Ready? The 2025 Future of Professionals Report reveals just how rapidly AI is becoming a central force in legal work: ✅ 80% of legal professionals believe AI will have a transformational impact in the next 5 years ✅ 72% see AI as a force for good in the profession ✅ 53% report a positive ROI from AI adoption 🔍 AI is already transforming core legal workflows: ✅ 77% use it for document review ✅ 74% for legal research and summarization ✅ 59% for brief/memo drafting ⏱️ Efficiency gains are significant — AI could save lawyers ~240 hours per year, freeing up time for strategic thinking, client relationships, and innovation. ⚖️ Ethics & trust remain essential: ✅ 96% believe AI shouldn’t represent clients in court ✅ 83% say it shouldn’t provide legal advice without oversight 📈 AI is no longer a futuristic idea — it’s today’s competitive advantage. Let’s embrace the opportunities, responsibly. Veritext is ready! 💡 Contact me today at jhorvath@veritext.com - 215-446-8835 #LegalTech #AIinLaw #FutureOfWork #LegalInnovation #GenerativeAI #Veritext
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AI is changing the legal profession, but the real question is how we use it. AI should be centered on amplifying human judgment, uncovering insights faster, and providing clients with smarter, more strategic guidance. Some ways AI is reshaping the practice of law: ✔️ Smarter Research, Faster Decisions: AI can sift through mountains of case law and data in moments, but it’s still lawyers who interpret context, nuance, and strategy. ✔️ Risk Management Reimagined: Predictive analytics can help identify potential legal pitfalls before they become costly problems. ✔️ Redefining Value: Efficiency gains from AI free lawyers to focus on higher-level thinking and meaningful client relationships. At TGL Law, we see AI as a tool to enhance expertise, not replace it. The firms that embrace AI thoughtfully will redefine how legal services are delivered... balancing speed, precision, and human insight. The future of law is collaboration between human intelligence and AI, and we’re actively shaping that future for our clients. #LegalTech #AIinLaw #InnovationInLaw #MedicalMalpractice #ClientFocused
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I use AI daily and don’t have concerns about it replacing me. Legal counsel isn’t just about communicating rules; it’s about building trust, protecting clients, and creating value for your organization. As AI and GenAI reshape the legal landscape, legal professionals are balancing new efficiencies with the need to safeguard sensitive data and maintain ethical standards. Surveys show most want to spend more time on expertise-driven work, while carefully weighing the appropriate use of AI. Staying grounded, informed, and thoughtful is what allows legal teams to not only meet compliance requirements but also deliver meaningful, trusted service in a rapidly changing environment. #LegalCompliance #BusinessLaw #AI
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Legal Departments Must Embrace AI … Now From Forrester Research to Thomson Reuters and everywhere in between, the headlines are clear: the nature of work in the legal sector will be dramatically reshaped by AI. These aren't distant projections. They're describing a reality that's already unfolding around us. But here's what the headlines usually miss: this isn't a story about replacement so much as a story about evolution. The infamous 2023 Goldman Sachs report predicting that AI will automate 44% of legal work also points out that worker displacement from innovation is typically offset by new job creation. Without doubt, AI will change our work. At my company, I want to challenge us to that change rather than idly let it shape us. The Perfect Storm We're Already In We know full well the challenges law departments face today. 80% of in-house professionals experience stress and burnout in their careers, with 50% reporting it as severe. It can become a vicious cycle. We're expected to be gatekeepers, business enablers, compliance experts, traffic cops and “fixers -- all at once -- and in an environment where the reward for doing good work is more work. The traditional solutions—hiring more people, working longer hours, accepting “this is just how legal work is” are not sustainable and are not acceptable. We need a fundamentally different approach. AI Will Help Us Solve These Challenges This is where AI becomes transformative, not threatening. It helps address our most pressing challenges: overwork, burnout, engagement, and budget pressure. AI tools can handle tedious work that consumes legal department time, such as drafting, redlining, and proofreading, conforming contracts, managing invoices, billings, approvals, and bureaucratic workflows. AI lets us do real time legal and regulatory research that we might have otherwise sent to expensive outside counsel, saving us both time and money that can be invested in our own people. AI frees up our cognitive resources, allowing us to focus on more strategic and engaging aspects of our roles. When we eliminate the work that drains our time, energy, and money, we create space for the high-value judgment and strategic thinking that drew us to this profession in the first place. The future belongs to legal departments that see AI not as a threat, but as the key to unlocking their full potential. The question isn't whether we'll use these tools, it's how quickly we'll master them. #AI #DXC #LegalInnovation
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The legal industry is experiencing a transformation with the integration of Artificial Intelligence (AI), enhancing efficiency and accessibility in legal processes. AI's capabilities in data analysis and predictive insights enable lawyers to focus more on strategic case elements rather than administrative tasks. This technological shift democratizes access to legal resources, benefiting smaller firms. While ethical concerns like data privacy and bias exist, AI's potential to improve justice is significant. In-house legal departments also leverage AI for compliance and risk management, positioning them as strategic assets. The collaboration between AI and human expertise promises a more just legal future. #AIinLaw #LegalTech #JusticeTransformation #ArtificialIntelligence #LegalInnovation #LegalIndustry #FutureOfLaw #LawTech #AIandJustice #LegalAI
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“Will AI replace lawyers?” There’s too much hype around AI in legal and most of it starts with the wrong question. That framing misses the point. AI isn’t here to replace judgement. It’s here to redirect it, away from low-value process work and toward the places where human legal expertise creates real business impact. If we take just one specific area of legal work—contracting. The gap between hype and reality becomes clear. “Can AI negotiate contracts?” No, AI can’t negotiate your contract. At least not in a way your GC would sign off on. Contracts aren’t just templates; they’re negotiated instruments shaped by judgement, risk appetite, regulatory context, and the subtleties of business strategy. But here’s what’s missing in the current AI debate: AI doesn’t need to replace the attorney to transform the contracting process. It needs to augment them. According to Gartner’s 2023 Legal Tech Hype Cycle, the most effective use of AI in contracting today is 𝗰𝗹𝗮𝘂𝘀𝗲 𝗲𝘅𝘁𝗿𝗮𝗰𝘁𝗶𝗼𝗻, 𝗱𝗲𝘃𝗶𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀, and 𝗰𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 𝗳𝗹𝗮𝗴𝗴𝗶𝗻𝗴—not negotiations. Thomson Reuters’ 2024 Future of Professionals Report echoes this: lawyers see AI as a 𝗰𝗼𝗽𝗶𝗹𝗼𝘁 𝗳𝗼𝗿 𝗿𝗲𝗽𝗲𝘁𝗶𝘁𝗶𝘃𝗲 𝗿𝗲𝘃𝗶𝗲𝘄, not as a standalone reviewer. So what does this look like in practice? AI can surface the 𝗳𝗶𝘃𝗲 𝗰𝗹𝗮𝘂𝘀𝗲𝘀 𝘁𝗵𝗮𝘁 𝗺𝗶𝗴𝗵𝘁 𝘀𝗹𝗶𝗽 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗿𝗲𝘃𝗶𝗲𝘄—indemnities, governing law, termination for convenience, data privacy, and non-solicitation. It can benchmark your draft against 𝗽𝗹𝗮𝘆𝗯𝗼𝗼𝗸𝘀 𝗮𝗻𝗱 𝗽𝗿𝗲𝗰𝗲𝗱𝗲𝗻𝘁 𝗹𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀, flagging where opposing counsel has slipped in risky deviations. It can map provisions against 𝗿𝗲𝗴𝘂𝗹𝗮𝘁𝗼𝗿𝘆 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 (SEC, HIPAA, GDPR, state privacy laws) and highlight potential compliance triggers. All of this means your senior counsel spends less time 𝗵𝘂𝗻𝘁𝗶𝗻𝗴 𝗳𝗼𝗿 𝗻𝗲𝗲𝗱𝗹𝗲𝘀 𝗶𝗻 𝗵𝗮𝘆𝘀𝘁𝗮𝗰𝗸𝘀 and more time 𝗲𝘅𝗲𝗿𝗰𝗶𝘀𝗶𝗻𝗴 𝗷𝘂𝗱𝗴𝗲𝗺𝗲𝗻𝘁 where it matters most: 𝗻𝗲𝗴𝗼𝘁𝗶𝗮𝘁𝗶𝗻𝗴, 𝗮𝗱𝘃𝗶𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀, 𝗮𝗻𝗱 𝗺𝗮𝗻𝗮𝗴𝗶𝗻𝗴 𝗿𝗶𝘀𝗸. It’s a practical reallocation of effort. AI handles the haystack. Attorneys focus on the needles. The outcome? • 𝗖𝗼𝗻𝘁𝗿𝗮𝗰𝘁𝘂𝗮𝗹 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲 → critical clauses don’t slip through • 𝗙𝗮𝘀𝘁𝗲𝗿 𝗰𝘆𝗰𝗹𝗲𝘀 → contracts move weeks faster • 𝗛𝗶𝗴𝗵𝗲𝗿 𝗰𝗼𝗻𝗳𝗶𝗱𝗲𝗻𝗰𝗲 → legal opinions are grounded in human judgment, informed by machine precision And here’s the bigger question for the industry. If AI is already proving itself in augmenting review, why are so many legal teams still debating “replacement vs. no replacement” instead of redesigning workflows around 𝗮𝘂𝗴𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻-𝗳𝗶𝗿𝘀𝘁 𝗺𝗼𝗱𝗲𝗹𝘀? Because the future of legal isn’t about whether AI can negotiate. It’s about how fast we embrace AI to shift in-house lawyers from process to strategy. Rachita R Maker Shashank C Pande
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AI Alone Isn’t the Answer 🧠 AI has real potential. But adoption without alignment creates friction. In this LexisNexis blog, we explore why effective legal AI needs: ✔️ Grounded expectations ✔️ Cultural readiness ✔️ Fit-for-purpose infrastructure 🚫 Hype is not a strategy. Read what actually works. 📖 AI adoption in legal – a multi-faceted affair: 🔗 https://ow.ly/sKIW50WC9ta #LegalAI #DigitalTransformation #LexisNexisES #LawFirmInnovation #LegalTech #AIAdoption #LegalStrategy #ProfessionalServices
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Thomson Reuters finds AI is reshaping law: 80% expect major impact in 5 years, 72% see it as positive, and 53% already report ROI. From review to research, AI is now a trusted partner. Read More: https://lnkd.in/eHNPvz5f
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AI will create a lot of work for attorneys. 𝗠𝗼𝘀𝘁𝗹𝘆 𝗹𝗶𝘁𝗶𝗴𝗮𝘁𝗼𝗿𝘀. Here's why: Currently, AI's ability to provide sound legal guidance is very poor. Ask AI a legal question, and you are likely to get an answer that is: • flat out wrong • non-sense • maybe the worst of all, contrary to your interests Lawyers can use AI for research, as long as the lawyer has knowledge of the area of law and can redirect AI ("that is not right, please try this/look at this/reconsider this"). Non-lawyers are at risk of taking AI as truth. This is bad news. ⚠️We routinely see AI citing statutes for things the statute does not say. ⚠️We routinely see AI suggesting legal changes that make no sense at all. ⚠️We routinely see AI suggesting that a person (non-lawyer) make a change to a document that is actually ADVERSE to that person's best interest. In other words, AI negotiates against the person and they don't even realize it. 𝗦𝗼 𝘄𝗵𝘆 𝘄𝗶𝗹𝗹 𝗹𝗶𝘁𝗶𝗴𝗮𝘁𝗼𝗿𝘀 𝗽𝗿𝗼𝘀𝗽𝗲𝗿 𝗶𝗻 𝘁𝗵𝗶𝘀 𝗻𝗲𝘄 𝗔𝗜 𝘄𝗼𝗿𝗹𝗱? Because the people that want to DIY their legal documents using AI (or lawyers operating out of their area of expertise) will make an absolute mess of them. If a transactional attorney isn't involved to fix the mess before execution, a litigator may be involved to fix the mess after execution. I use AI every day. I use a lot of research tools every day, not just AI. That isn't a new thing. AI is great, for me. It is not great for non-lawyers, unless they have an actual lawyer guiding them through the morass of AI.
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When machines begin to plan, execute, and refine workflows independently, we enter a new era one where accountability, privilege, and trust are not just legal doctrines, but system design challenges. As someone building survivor-led AI tools, I see both the opportunity and the risk. Agentic AI can extend the capacity of smaller firms, public defenders, and civil rights advocates. But it also magnifies the stakes: • Responsibility: Who answers when autonomy misfires lawyer, vendor, or algorithm? • Transparency: How do we audit reasoning chains that the system itself adapts and rewrites? • Confidentiality: What happens when “memory” collides with privilege? These are not abstract questions. They touch every filing, every case, and every community relying on justice systems to be ethical and accountable. ⚖️ If law derives legitimacy from accountability, then agentic AI must be governed with frameworks that protect the client first. Otherwise, efficiency will come at the cost of trust. The real test isn’t whether we can let AI act as an autonomous agent it’s how far we are willing to go before the rule of law itself is compromised. #JusticeAI #EthicalAI #LegalTech #Accountability #AccessToJustice
Senior Legal Counsel | PhD (Law & AI) Researcher | Global MBA Candidate | Founder: How to Legal AI, Beyond the Clauses & Global AI and Law Network
Agentic AI is redefining the practice of law in ways that generative AI never could. Generative AI helps with drafting or summarising. Agentic AI goes further. It plans, executes, and evaluates tasks on its own. It can break down a workflow into steps, choose the tools it needs, and adjust its approach until the outcome is reached. That sounds powerful, but it comes with profound implications. Who carries responsibility when a system acts with this level of autonomy? If a filing is flawed or a precedent misapplied, is the liability on the lawyer, the firm, the vendor, or the system itself? Current professional rules were not written for machines that behave like junior associates but without human accountability. There is also the challenge of explainability. Agentic AI evaluates and refines its own reasoning, which makes it harder to trace how it arrived at a conclusion. For courts, regulators, or clients, the ability to show process is as important as the end result. Without transparency, trust in outputs may falter, no matter how accurate they seem. Memory adds another layer. The ability to draw on past matters and context makes agentic AI smarter and more efficient, but also raises risks around confidentiality and privilege. A memory leak in this context is not just a technical failure. It could compromise strategy, negotiations, or client trust. The opportunity cannot be ignored. Agentic AI could transform drafting, case analysis, and compliance workflows. Smaller firms and public legal teams may leapfrog larger competitors by using it to extend capacity and expertise. Yet with every gain in efficiency comes an equal demand for stronger governance, new ethical frameworks, and redefined professional judgement. The legal profession now faces a turning point. Agentic AI is not just a faster tool. It represents a shift in what it means to practise law, where responsibility, oversight, and professional duty will need to be reimagined in an environment where machines are no longer passive assistants but active participants in the work. How far are we prepared to let AI act as an autonomous agent in legal decision-making before it undermines the very accountability that gives law its legitimacy?
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