$60M to Fix How Law Firms Work

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Welcome to another edition of Why Join.

When two companies are racing to own the same category, watch what they spend money on. Not the product. The narrative.

The product differences between competitors are almost always smaller than either side wants to admit. Same underlying infrastructure. Same basic capabilities. Same vendor powering the core engine. You could swap the logos and most customers wouldn’t flinch.

So the fight moves upstream. Whoever defines the category wins the category. This has been true for fifty years. The best companies don’t just launch products. They launch words. They name the problem. They coin the metric. They create the axis on which their product sits at the top and everyone else is playing catch-up.

By the time the competitor responds, they’re already playing defense. Not because the product is worse. Because the story belongs to someone else. And in technology markets, the story is the product.

The most underrated skill in tech is not building. It’s framing.

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💵 Raised: $60M Series A at $750M valuation, led by Menlo Ventures. Kleiner Perkins, First Round Capital, and Quiet Capital also in. Largest Series A in legal tech history.

One-liner: AI-native law firm model that kills the billable hour and replaces it with fixed-fee pricing.

Why it’s a fave ツ: 80% of American businesses and consumers can’t afford to hire a lawyer when they need one. The reason is the billable hour. It ties firm economics to time spent, not outcomes delivered. Billing rates hit $3,000/hour last year. Rates went up 7.4% in 2025 alone. And 78% of lawyers work at small or solo practices where they spend up to two-thirds of their time on admin, not actual legal work. The $6B invested in legal tech last year mostly went to AI tools that make traditional firms more profitable... without actually making legal services cheaper for clients.

Manifest OS took a completely different approach. Instead of selling software to existing law firms (who are incentivized to bill more hours, not fewer), they built AI-native law firms from the ground up. They provide everything: the brand (all firms operate under “Manifest Law”), the software (AI platform for client comms, legal research, document drafting, billing), and a centralized back office (paralegals, admins, intake, collections, quality assurance). Lawyers just do legal work. Everything else is handled.

The key structural difference: traditional law firms distribute year-end profits as partner bonuses. Manifest reinvests them into R&D. So the cost of delivering legal services keeps dropping over time instead of going up.

Started in business immigration under Arizona’s ABS program (which lets non-lawyers have ownership stakes in law firms). 18 months in: 3,000+ client engagements, 100+ immigration attorneys, visa approval rate 15% above the national average, 3x faster client response times than traditional firms. Out of 5,000+ attorney applicants, fewer than 1% accepted. Fixed-fee on everything.1

Hiring: Sales Development Representative, Strategy & Operations, GTM, Junior Design Engineer, Product Manager, Full Stack Developer - New York, NY/ Events Manager - Remote

💵 Raised: $7M, led by Equal Ventures. M13 returning, Chingona Ventures and CEAS Investments new.

One-liner: AI platform that gives commerce teams a single brain for their entire operation.

Why it’s a fave ツ: The problem they're solving is deceptively simple. E-commerce brands run on a dozen disconnected tools. Analytics here, inventory there, marketing somewhere else. You can't bolt AI onto that mess and expect it to make good decisions because it has no context. Chord built what they call a "context graph" for commerce. Think of it as a living operational memory that captures how a business actually runs... metrics, rules, historical decisions, constraints, trade-offs. It compounds over time. So when you ask the AI a question or tell it to do something, it's working with real-world context, not just raw data from a dashboard. Teams can ask questions, generate insights, and take action in the same place.

Hiring: Account Executive - New York, NY; Remote (US)

💵 Raised: $12M seed, led by Inspired Capital. Primary Venture Partners, Founder Collective, and Oceans Ventures also in.

One-liner: AI that builds a living map of your workforce so companies can actually manage their people.

Why it’s a fave ツ: Every company says people are their most important asset. Then you ask how they actually track who’s performing, who’s growing, who’s underutilized, who elevates the people around them... and the answer is: it lives in the heads of a handful of managers. Maybe some spreadsheets. Maybe an annual survey nobody reads. You literally have a system of record for every asset in the company except the people.

This matters more now, not less. AI is flattening orgs, merging roles, giving individuals the leverage that used to require whole teams. The value of each person goes up. But companies have no infrastructure to understand what’s actually happening with their workforce in real time. You can’t ask an AI agent to identify your best teams or surface bottlenecks or help staff a critical project because the context doesn’t exist anywhere.

Windmill started with the most broken process in the workplace: performance reviews. Their platform plugs into Slack, GitHub, Google Workspace, and 30+ other tools where work actually happens, so reviews never start from a blank page. Completed 90% faster with 93% employee satisfaction. But the reviews are really just the first proof point. Underneath is what they call the context graph... a continuously updated understanding of who people are, what they’ve done (traced back to specific Slack threads, pull requests, documentation), what’s expected of them, and what others think of them. Everything cited, nothing hallucinated from memory.2

Hiring: Design Engineer, ML Engineer, Software Engineer - New York, NY

• GameStop makes unsolicited $55.5B bid for eBay: $125/share, half cash half stock, 20% premium. The math is wild: GameStop’s market cap is ~$12B, eBay’s is $46B. So how does Cohen pay for it? ~$9.4B cash on hand, $20B commitment letter from TD Bank, plans to issue stock, and potentially Middle Eastern sovereign wealth funds. He’s built a ~5% eBay stake (mostly derivatives) starting Feb 4. The pitch: cut $2B in annual costs, nearly double EPS from $4.26 to $7.79 in year one, use GameStop’s 1,600 stores as physical infra for authentication, fulfillment, live commerce. Cohen would run the combined company with no salary, comp tied entirely to performance. ($35B+ payout if it hits $100B valuation.) eBay board says it’s reviewing. No conversations with management yet. Proxy fight on the table if they don’t engage.

• Meta acquires robotics AI startup for humanoid push: Bought Assured Robot Intelligence, a startup that builds AI models helping robots understand and adapt to human behavior in real-time. Team joining Meta Superintelligence Labs to work on humanoid technology. Co-founders came from Nvidia and Fauna Robotics (Amazon bought Fauna in March for its own humanoid effort). Meta’s bigger play here: they want to be the Android of humanoid robots. Build the foundation layer, sensors, software, AI, and let the rest of the industry build on top. Tesla, Google, Amazon all chasing the same space.

• Ask.com shuts down after 30 years: The search engine formerly known as Ask Jeeves is done. Launched in 1996, it let users ask questions in natural language, arguably making it a precursor to today's AI chatbots. Never came close to competing with Google though. IAC bought it in 2005, dropped the Jeeves branding, scaled back search by 2010. Officially closed May 1, 2026. The farewell message: “Jeeves’ spirit endures.”

• Musk’s companies more than doubled spending on each other: Tesla’s amended 10-K shows related-party transactions hit ~$600M in 2025, up from ~$240M in 2024. xAI paid Tesla $430M (mostly for Megapacks), up from $198M. SpaceX spent $143M on Tesla vehicles for the first time. Tesla sold about 1 in 5 Cybertrucks registered in the US to Musk’s other companies. Tesla also paid $4.8M to Musk’s personal security company. All before Tesla’s separate $2B investment in xAI, which post-merger now gives Tesla a stake in SpaceX.

  

• xAI launches Grok 4.3 at rock-bottom pricing: Big performance jump over Grok 4.2 on third-party benchmarks but still below OpenAI and Anthropic's best. The real play is price: $1.25/$2.50 per 1M input/output tokens, roughly 40% cheaper than its predecessor and way below GPT-5.5 ($5/$30) and Claude Opus 4.7 ($5/$25). 1M token context window, reasoning baked in permanently. Tops legal and finance benchmarks (CaseLaw, CorpFin) but users report it "falls asleep" on agentic tasks and struggles with hard math. Also launched a voice cloning suite: 120 seconds of audio creates an eerily accurate clone of your voice, $3/hour for voice agent interactions. US only (excluded Illinois over biometric privacy laws). All 11 original xAI co-founders are now gone but the product machine is still shipping.

• Anthropic forming $1.5B joint venture with Blackstone, Goldman, others: JV will sell AI tools to private equity-backed companies. Anthropic, Blackstone, and Hellman & Friedman each putting in ~$300M. Goldman adding ~$150M. General Atlantic and others also in. The entity acts as a consulting arm for Anthropic, helping PE portfolio companies integrate AI across operations. OpenAI is in talks for a rival JV with PE firms. Both see PE-backed companies as prime targets since they’re already focused on efficiency and cost-cutting.

• Cerebras IPO targeting $4B raise at $40B valuation: Up from the earlier $2B target. Banks already have $10B+ in indications of interest. Valuation trajectory: $8.1B in Sept, $23B in Feb, now $40B. Revenue hit $510M in 2025 (up 76% YoY) and the company swung to profit after a $485M loss in 2024. The OpenAI relationship is the anchor: $20B+ compute deal through 2028, $1B loan from OpenAI at 6%, plus warrants for 33.4M shares. Ticker: CBRS on Nasdaq.

• Legal AI startup Legora hits $5.6B valuation: Swedish-born Y Combinator alum just crossed $100M ARR, 18 months after launching. Nvidia’s NVentures made its first legal AI investment here. $50M Series D extension on top of a $550M Series D a month ago. 1,000+ law firms and in-house teams across 50 markets. Going head-to-head with Harvey ($11B valuation, backed by Sequoia, a16z). The marketing war is fun: Harvey signed the actor from “Suits,” Legora countered with Jude Law under the slogan “Law just got more attractive.” Both built on top of LLMs from the big AI labs, which could become their competitors. (When Anthropic launched a legal plug-in for Claude, several legal software stocks dropped.)

• Fyxer: Senior Creative Strategist, Member of Product Team - London/ Senior Product Support Specialist - Austin, TX

• Granola: Community Manager - San Francisco/ Product Engineer (Backend), Product Engineer (Full Stack), AI Engineer, Web & Brand Designer, Content Lead, SDR, People Operations Lead - London

• Wispr Flow: Technical Support Engineer - Bangalore; San Francisco; New York/ SDR (PLG / Install-Base Expansion), Product Lead, B2B Marketing Lead, Paid Search Performance Marketing Manager - San Francisco; New York/ QA Engineer (Windows / iOS) - Bangalore

• Littlebird: Product Analyst, Applied AI Engineer - Agent Intelligence & Retrieval, Brand (Visual) Designer, Growth Analyst - X, Senior Content & Community Marketing Manager, Social Media & GTM Associate - Remote

• Coefficient: Support Specialist - Philippines/ QA Automation Engineer - Bangalore/ Early Product Engineer - San Mateo, CA

• Redpine: Business Development - Internship, Design Lead, Partnerships Manager, GTM - Stockholm, Sweden/ GTM - US

• Marloo: Founding Engineer, Design Lead, Growth Lead, GTM Associate, SDR - London

• Trata: Founding Engineer - New York, NY

• Magical: Junior Software Engineer, AI (New Grad OK), San Francisco, CA; Toronto, Canada/ Senior Software Engineer, Agent Platform - Toronto; San Francisco/ SDR, AI Deployment Strategist - Remote (Canada/US)

• Orb: Software Engineer, Core Product (New Grad OK) - San Francisco/ Solutions Architect, Software Engineer, Infrastructure - Remote (US)

• Durable: AI Marketer, AI Engineer - Vancouver; Remote - Canada

• Ahrefs: Backend Engineering Intern - OCaml, Social Media Manager, Product Designer - Palo Alto, CA; Singapore; Acton, MA/ Japanese Speaking Customer Success & Support Specialist - Remote (Japan)

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See you Wednesday, Ryan

Sponsorships: We are now accepting sponsors for Q2/Q3 ‘26. If you are interested in reaching my audience of founders, investors, and tech executives, send me an email at chief@whyjoin.xyz.