The Good Tech Companies - The Lawyer Who's Building His Own Version Of Legal AI

Starting point is 00:00:00 This audio is presented by Hacker Noon, where anyone can learn anything about any technology. The lawyer who's building his own version of legal AI by Sanya Kapoor. Damon Singh Saduara didn't set out to compete with Westlaw. He set out to be a lawyer. Saduara trained in law at the University of Leicester, completed an LLM at the University of Miami, and interned with Aliette Rodriguez's team at Schutz and Bowen in Miami, one of the country's largest firms. Everything about that path pointed toward a bar exam and a career inside a major legal practice. He chose not to sit the exam. Instead, he built Saduara Global, an AI automation and consulting company in Miami in January

Starting point is 00:00:40 2006, with his brother, Gravere Singh Saduara, as co-founder. Grevere studied mechanical engineering and 3D robotics at Conestoga College in Kitchener, Waterloo, a technical background that now feeds directly into how the two of them approach product development. Now Saduara is turning that same instinct toward an industry he knows from the inside, legal services. What law school actually taught him? Everything I learned in law, I'm using now, Saduara said. I just don't have to ask permission to build with it. For a founder without a computer science background, that's not a throwaway line. It's the whole thesis behind everything he's built since. Saduara credits Merrick Paulson, one of his professors, with pushing him to

Starting point is 00:01:23 publish early in his academic career. An exercise he says forced him to think clearly in writing before he ever tried explaining an idea out loud. Howard Quant taught him how to integrate AI into daily workflows inside an actual law firm setting, which turned out to be a preview of exactly the kind of problem sadware and now trying to solve at scale, years before he had a company to apply it to. A separate memory stuck just as hard. Daniel Gonzalez and Mark Cheskin, partners at Hogan levels in Miami, once mentioned in passing a former student who, Houdgonion to become a client of their own firm. Saduara says it completely reframed how H.E. thought about ambition.

Starting point is 00:02:00 The goal was never just landing a job at a top firm. It was becoming the kind of person a top firm would want as a client. That reframing is now the business plan, aimed at an entire industry rather tawn a single career. Two products, one very specific problem. Saduara's newest venture is loophole. AI, an AI company he owns that builds tools spanning websites, ad campaign. across meta, Snapchat, LinkedIn, and X, Undi generated content for companies and brands that want a presence without a full production team. Its first two products both target the legal

Starting point is 00:02:34 industry directly, and they're built to solve different versions of the same underlying problem. Every law firm works differently, and most existing tools don't account for that. Hawk is a plug-and-play legal research and writing tool, positioned as a direct alternative to Westlaw and Lexus Nexas. Saduara describes it in blunt terms, purchase it, plug it into your existing workflow, done. No custom integration, no months-long onboarding process, no retraining an entire department on a new system. It's built for firms that want the capability without the operational lift. Hawk 2. Zero takes the opposite approach. It's a fully white label, enterprise level platform built specifically for law firms that want to shape the tool

Starting point is 00:03:16 around themselves rather than adapt to someone else's design. Name, automation logic, feature set, the interface, all of it is customizable. Where Hoc is meonto slot into a firm's existing process without disruption, Hawk 2. Zero is meant toventually become the firm's process. Every law firm does legal research and legal writing differently, Saduracid. Most tools ask firms to adapt to one fixed system. We're building the opposite, something that adapts to them, betting on the firms that already know what good looks like. Saduara isn't planning a wide public launch out of the gate, and he's direct about why. He wants Hawk tested first at the University of Leicester and the University of Miami, the two schools where he studied, with trials aimed specifically at finding bugs and

Starting point is 00:04:02 stress testing the tool in a real academic legal environment before it goes anywhere near a paying client. It's ad deliberate choice to start with institutions he trusts and that already operateo rigorous standards, rather than opening access broadly and hoping the product holds up under pressure. Hawk 2.0 is targeted for an early 2027 release, with the base Hawk platform following in mid to late 2027. The sequencing reflects how Sadiwara is thinking about risk. Enterprise clients working directly with his team on a customized build can absorb early iteration in a way a self-serve product can't, so the more controlled release comes first, and the plug-and-play version follows once the underlying system has been tested against real

Starting point is 00:04:43 firm demands. Both his own credibility and loopholes are staked on the tool working the way it's supposed to from day one, not on being first to market. I'm not building this because I left law behind, Saduara said. I'm building it because I didn't. For a founder who walked away from a conventional legal career specifically to avoid being boxed into one way of operating, building a legal AI platform designed around flexibility isn't ironic. It's the same instinct, aimed at a different industry, built on the same conviction that no two law firms or careers should have to fit the same mold. This story was distributed as a release by Sonja Kapoor under Hackernoon Business Blogging Program. Thank you for listening to this Hackernoon

Starting point is 00:05:23 story, read by artificial intelligence. Visit hackernoon.com to read, write, learn and publish.

The Good Tech Companies - The Lawyer Who's Building His Own Version Of Legal AI

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