Usman Wahid, a 23-year veteran lawyer and now founder of Legalise, joins Sam Kamani to explore the evolution of AI in the legal world. They dive into hallucinations in legal AI, how Legalise enables smarter contract negotiation for SaaS companies, the tension between centralized vs decentralized AI models, and how the legal profession must adapt. Usman also shares the importance of human-in-the-loop design, the challenge of building trust in AI tools, and his startup’s ask for early B2B adopters.

Key Timestamps

• [00:00:00] Introduction: Sam introduces Usman and the focus on legal AI for SaaS and B2B negotiations.

• [00:01:00] Usman’s Journey: From 23 years in law to launching a startup at 46.

• [00:03:00] What Legalise Does: Differentiating product-based legal AI from platforms.

• [00:05:00] Handling Complex Negotiations: Workflow design, issue tracking, and stakeholder collaboration.

• [00:08:00] Common AI Mistakes in Law: Hallucinated citations and legal misuse of retail LLMs.

• [00:11:00] AI in the Courts: UK case examples and regulatory pressure on legal AI.

• [00:14:00] Centralized vs Open Source AI: Tradeoffs and Legalise’s hybrid approach.

• [00:18:00] Decentralized AI: Trustless infrastructure, microtransactions, and public service potential.

• [00:20:00] AI and Careers: How future lawyers can thrive, not just survive, with AI tools.

• [00:25:00] Usman’s Ask: Early adopters for Legalise, especially in B2B and Web3 verticals.
  

Connect

https://legalise.io/

https://www.linkedin.com/in/usman-wahid-78236413/

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/

Vadym Rozov, founder of Simplify Labs, joins the podcast to break down the regulatory future of crypto in Europe. With MiCA and DORA reshaping the landscape, Simplify Labs is helping exchanges stay compliant and launch fast with modular white-label solutions. Vadym shares what sets their platform apart, the challenges of MiCA implementation, how banks are evolving into exchanges, and what startups must know before entering regulated markets.

Key Timestamps

[00:00:00] Introduction: Sam introduces Vadym Rozov and the focus on MiCA regulation and Simplify Labs.

[00:01:00] Vadym’s Background: From Ukraine’s Web2 outsourcing to building Simplify Labs.

[00:02:00] What Simplify Labs Offers: A modular, white-label crypto exchange solution with MiCA compliance.

[00:04:30] How It’s Different: Built for real use—already powering licensed exchanges like RX in Malta.

[00:06:00] Regulation-Ready: Adapting to MiCA and DORA from years ago, including penetration testing and dev scale.

[00:07:00] MiCA’s Impact: Only 100 out of 5,000+ EU exchanges expected to survive by 2026.

[00:08:00] Travel Rule Explained: Why all transactions now need sender/receiver data stored.

[00:09:30] Client Successes: Crypto card deployments, fiat conversion, and onboarding for MiCA-regulated exchanges.

[00:11:30] Roadmap: Continual updates to match changing regulations and user needs.

[00:12:30] Business Growth: Positioning for the MiCA shift and long-term regulatory infrastructure.

[00:14:00] Costs of Compliance: Team, tech, and monthly operational costs under MiCA.

[00:16:00] Building Lessons: Why Simplify Labs’ roots in real-world exchange operations matter.

[00:17:00] Market Trends: Telegram bots, fun tokens, meme coins, and where MiCA draws the line.

[00:19:30] Banks vs Exchanges: Vadym on why traditional banks will become the next big crypto players.

[00:21:00] Final Ask: Looking for long-term partners, not funding—ready to support licensed launches.

Connect

https://simplifylabs.io/

https://www.linkedin.com/company/simplify-labs/

https://x.com/simplifylabs_io

https://www.linkedin.com/in/vadimrozov/

https://x.com/vadimrozov
Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/

Michael from 0G.AI joins Sam to discuss how they're building the AI operating system of the decentralized world. From decentralized compute and high-throughput storage to local consensus clusters and alignment networks, 0G is tackling the hardest infrastructure challenges at the intersection of AI and blockchain. With over 10 million wallets, 500+ companies building on Testnet, and $350M raised, this episode unpacks how they’re enabling verifiable, transparent AI for real-world use—like embedded agents, robotics, and fully decentralized model training.

Timestamps

• [00:00:00] Introduction: Sam introduces Michael and outlines 0G’s massive traction and mission.

• [00:01:00] Michael's Journey: From Bitcoin in grad school to ICOs and the AI-Web3 crossroads.

• [00:03:00] What 0G Solves: The case for cheat-proof, transparent AI and blockchain-based provenance.

• [00:05:00] Infrastructure: Testnet, L1, decentralized storage, compute layers, and upcoming mainnet.

• [00:06:30] Technical Hurdles: From hot storage to random access proofs, DA throughput, and consensus layers.

• [00:10:00] Why Build a New L1?: Why Ethereum wasn’t enough—and the Tesla analogy for Web3 UX.

• [00:12:00] Scaling Users: How 0G reached 10M wallets—partnerships, KOLs, and atomic brand activation.

• [00:14:00] Node Sale & Community: 9,000+ node holders and the power of real ownership over airdrops.

• [00:15:00] Trends in Web3: Stablecoins, agents, better UX, DEX innovation, and model training.

• [00:16:00] What’s Coming: Why robotics and embedded AI will push blockchain to the edge.

• [00:18:00] Survivorship Bias: Why closed models are dangerous and open-source is key for alignment.

• [00:21:00] Education Revolution: AI-powered collaborative schooling and what it means for society.

• [00:22:30] Roadmap: Scaling decentralized compute, proof of useful work, and agent-to-agent networks.

• [00:24:00] $88M Ecosystem Fund: Who it’s for and how founders can plug into 0G’s stack.

• [00:25:00] Final CTA: Join the community, build with 0G, and explore the intersection of AI x Web3.
  

Connect

https://0g.ai/

https://x.com/0G_labs

https://x.com/michaelh_0g

https://www.linkedin.com/company/0g-labs/

https://www.linkedin.com/in/mheinrich/

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.
Be a guest on the podcast or contact us - https://www.web3pod.xyz/