ContractPodAi

🚨 Are You Waiting for a "Perfect" AI Solution? It’s Costing You More Than You Think! 🚨 Generative AI isn’t a distant future—it’s here and delivering real impact for legal teams today. Yet many are holding back, waiting for an all-in-one, “perfect” solution. The truth? That approach is costing time, efficiency, and a critical competitive edge. In my latest article, I dive into why early adoption of targeted AI tools is essential for legal teams. 🕒 The Cost of Waiting: Every month you wait, you're missing out on time and resource savings that add up fast. 💡 Why Targeted AI Works Now: Vendors like ContractPodAi understand that a “one-size-fits-all” approach doesn’t work for legal. They’re creating tools tailored to specific, complex legal tasks, giving you the precision and reliability you need TODAY. ⏳ Adopt Now or Fall Behind: The longer you wait, the more challenging (and costly) it will be to catch up. The right AI tools are ready for legal teams now—stop waiting for "perfect" and start reaping the benefits. Read the full article to understand the real costs of delaying and why now is the time to embrace the AI advantage! #LegalTech #GenerativeAI #LegalAI #Efficiency #FutureOfLaw #LegalInnovation #Cost #Contractpodai

🎃🦇 No tricks, just treats from the LegalTech industry in October 2024. Here are 5 of some of the exciting things that happened this month: 1. Draftable signed a 3-year contract with law firm Allens for its new Draftable Legal product. 2. ContractPodAi and KPMG partners to power KPMG's new managed legal services capability. 3. Robin AI released a new version of Robin Reports, in partnership with Anthropic and Amazon Web Services (AWS). 4. Law Insider acquired oneNDA in a contract standards move. 5. Vals AI, supported by LegalTechnology Hub, together with Reed Smith LLP, Fisher Phillips, Harvey, LexisNexis, Thomson Reuters, vLex, Vecflow, collaborates for a benchmarking study on the accuracy and efficacy of gen AI platforms in legal. 𝗟𝗲𝗴𝗮𝗹𝗧𝗲𝗰𝗵𝗧𝗮𝗹𝗸 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗯𝗮𝗰𝗸 𝗻𝗲𝘅𝘁 𝘆𝗲𝗮𝗿 𝗼𝗻 𝗝𝘂𝗻𝗲 𝟮𝟲-𝟮𝟳, 𝟮𝟬𝟮𝟱. Grab your Super Early Bird tickets here 👉 https://lnkd.in/e4__R3bm For more news 👉 https://lnkd.in/eBFgFgbx #LegalTechTalk #LegalTech #Legal #Law #Tech #LegalAI #Partnership #ProductLaunch #Technology #GenAI #LawTech

Discover how a mid-sized tech company transformed their processes with a tailored ContractPodAi CLM implementation by Execo! From automating workflows to enhancing compliance, this case study reveals how they overcame critical challenges and set the stage for scalable growth. Curious about the results? Dive into the full story and see the measurable improvements that can reshape your business's future! 👉 Read the full case study below #ContractManagement #Innovation #BusinessGrowth

🎉 What a fantastic Diwali celebration we had at the ContractPodAi Mumbai office! The energy was electric as colleagues gathered to share in the festivities, enjoy delicious food, and connect with one another. Our Co-founder & COO Viraj C. took the stage to share inspiring insights about our business journey and the exciting opportunities ahead. It was a great reminder of our collective achievements and the bright future we’re building together. Here’s to fostering our vibrant culture and continuing to shine brightly as a team! Wishing everyone a prosperous year ahead!

🚨 The Future of LLMs in Legal Tech: Why Data Protection Will Slow Learning & What It Means for Legal AI Tools 🚨 As someone often asked by clients and prospects about the role of Gen AI and how large language models (LLMs) will evolve in the legal space, I've been reflecting on a critical question: 💡 How will LLMs continue to improve if everyone is focused on protecting their data? Data privacy regulations—like GDPR, HIPAA, and attorney-client privilege—are increasingly limiting the amount of data available for training. While this is necessary, it could impact the learning curve for general AI models, especially in specialized fields like law. In industries where data protection is paramount, LLMs may struggle to deliver the accuracy, reliability, and consistency professionals require. Horizontal vs. Vertical Models: A Key Distinction for AI in Legal Tech: Horizontal models are general-purpose LLMs trained on diverse data across industries, offering versatility but often lacking in specialized accuracy. Vertical models, on the other hand, are tailored to specific sectors, using industry-focused data to deliver greater precision and compliance, crucial for tasks like legal analysis and document review. In legal tech, horizontal models (e.g., GPT-4) may struggle with limitations in accessing sensitive data, whereas vertical models can be refined with deep, legal-specific insights, providing the accuracy and reliability lawyers require while upholding data privacy. So, what’s the solution? The golden trio that legal professionals look for: 1. Accuracy 2. Reliability 3. Consistency Meeting these standards requires working with vendors who: ✅ Have expertise in fine-tuning models to address specific industry pain points, such as contract negotiation and document review. ✅ Possess deep legal knowledge to create tools that understand and solve real legal challenges. ✅ Leverage synthetic data and federated learning to train models safely, maintaining the strictest data privacy standards. At ContractPodAi, we see the future of legal tech in industry-focused, finely tuned models designed to meet the unique demands of the legal field. By integrating genuine legal expertise with cutting-edge AI techniques, we ensure our solution, LeAh, continuously evolves to deliver the accuracy and efficiency that today’s legal teams need for precise contract review. Our commitment is to keep raising the bar in legal AI, helping teams streamline their work while upholding the highest standards of data privacy and reliability. To my fellow legal professionals—don’t settle for generic AI. Your practice deserves solutions built specifically for your needs, not just off-the-shelf answers. 🛠️ #LegalTech #AIinLaw #LLMs #ContractPodAi #ArtificialIntelligence #DataProtection #LegalInnovation