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3 contributions to Oleg's AI Lab
My first live Q&A call this Saturday 🙌🏻
hey friends, in order to learn more about your technical problems I'm hosting my first ever live community call come and join us this Saturday to ask any AI-related questions time: 12pm ET / 9am PT / 6pm CET
1 like • 15h
Looking forward to it on Saturday. Interested to know about your video production process from filming to editing. Your video aesthetics are great. Btw good to know you attended high school 239!
1 like • 6h
@Oleg Melnikov could be related, to some extent.
the laziest way to make $1,000 with Fable 5.1
hey friends, here is the full step-by-step guide for the setup from this video: https://www.oleg.ae/fable-money if you have any questions about the setup, pls ask them in the comments down below we'll solve them together 🫂 I truly believe this to be one of the coolest opportunities to use AI to help real businesses and make a buck curious to see some of you put in the actual cold outreach reps to see it through
1 like • 15h
Nice video @Oleg Melnikov , why not add the API keys into the .env ? Cleaner and safer to push on GitHub, isn't it ? Would also be interesting to see how Claude's /design could be incorporated into this build process.
Law Firm Cut Contract Drafting 60% - Client Satisfaction Up 40% 🔥
Mid-size corporate law firm. 45 attorneys. Contract-heavy practice. Manual contract drafting: 6-8 hours per contract. With automation: 2.5-3 hours per contract. 60% time savings. 40% higher client satisfaction. THE LEGAL AUTOMATION RESISTANCE: Law firms fought automation for years: - "AI can't understand legal nuance" - "Our work is too complex for automation" - "Clients pay for attorney judgment, not robot work" All true statements. But missing the point. Attorneys spend 60% of their time on document assembly work, not actual legal strategy. THE BREAKTHROUGH REFRAME: Automation doesn't replace attorneys. It handles document grunt work SO attorneys can focus on legal judgment. THE WORKFLOWS THAT ACTUALLY WORK: Contract Drafting: - Start with template library (organized by contract type) - AI-assisted clause customization based on deal terms - Attorney reviews and adds strategic provisions - Final approval and client delivery NDA Generation: - Client details entered (parties, scope, duration) - System generates first draft with standard clauses - Attorney customizes for specific deal requirements - Review and execution Due Diligence Document Review: - Automated document collection and organization - Key term extraction across all documents - Risk flag identification - Attorney reviews findings and provides strategic analysis THE NUMBERS: Time savings per contract: 60%+ Attorney hourly rate: $420 Value saved per contract: $1,680-$2,100 Contracts processed monthly: 85 Monthly value created: $142,800-$178,500 ATTORNEY REACTIONS (Timeline): Week 1: "This won't understand the complexity of our contracts." Week 4: "This handles 70% of the boilerplate clauses perfectly." Month 3: "Why did we waste years doing this manually?" Month 6: "Can we expand this to M&A documents?" CLIENT IMPACT: Before automation: - Contract turnaround: 5-7 business days - Client satisfaction: 3.2/5.0 average - Lost time-sensitive deals: 12% of opportunities After automation:
1 like • Feb 20
@Duy Bui this is fantastic! I really appreciate you sharing this.
1-3 of 3
Philip Couboura
2
9 points to level up
@philip-couboura-7652
AI agency owner | Helping SMBs implement AI systems | Building micro-SaaS tools.

Active 22m ago
Joined Oct 4, 2025
Canada
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