Imagine reviewing a sensitive merger agreement without sending a single word to the cloud. That’s the promise driving a quiet revolution in enterprise AI, and legal tech startup SpotDraft just secured $8 million from Qualcomm Ventures to make it a reality. The strategic investment values the company at around $380 million – nearly double its valuation from just a year ago – as demand surges for privacy-first AI that keeps sensitive data on local devices rather than routing it through external servers.
The Privacy Imperative Driving On-Device AI
Across regulated sectors like legal, defense, and pharmaceuticals, enterprises are racing to adopt generative AI tools, but privacy and security concerns have become major roadblocks. Industry research consistently flags data security as a key barrier to wider GenAI deployment in professional services, particularly for workflows involving privileged information, intellectual property, and confidential deal terms.
SpotDraft’s solution, called VerifAI, runs entirely on-device, executing contract review, risk scoring, and redlining offline while keeping documents on local machines. The company demonstrated its workflow at Qualcomm’s Snapdragon Summit 2025, showing how it could run end-to-end on Snapdragon X Elite-powered laptops without internet connectivity for core functions.
Legal Tech’s Competitive Landscape Heats Up
SpotDraft’s funding comes amid intense competition in the legal AI space. Just days before SpotDraft’s announcement, legal AI giant Harvey acquired Hexus, a startup focused on building tools for product demos and guides. Harvey, now valued at $8 billion after raising $760 million in 2025, claims over 1,000 clients across 60 countries, including most top U.S. law firms.
“What we’re bringing to Harvey is deep experience building enterprise AI tools in adjacent problem spaces,” said Hexus founder and CEO Sakshi Pratap. “This expertise helps Harvey move faster in a market that’s becoming increasingly competitive.”
The contrast between these approaches is telling: while Harvey continues its cloud-based expansion, SpotDraft is betting heavily on on-device architecture as a competitive differentiator for privacy-sensitive applications.
AI Investment: Bubble or Breakthrough?
This funding round arrives as industry leaders voice concerns about AI investment patterns. Google DeepMind CEO Demis Hassabis recently warned at the World Economic Forum in Davos that parts of the AI industry show “bubble-like” investment patterns, with multibillion-dollar seed rounds in startups lacking products or technology.
“Multibillion-dollar seed rounds in new start-ups that don’t have a product or technology or anything yet do seem a little bit unsustainable,” Hassabis said. He contrasted this with Google’s position, noting that “if the bubble bursts we will be fine. We’ve got an amazing business that we can add AI features to and get more productivity out of.”
SpotDraft’s growth metrics suggest it’s avoiding the “bubble” label. The company has reached more than 700 customers, up from around 400 in February last year, with clients including Apollo.io, Panasonic, Zeplin, and Whatfix. Customers now process over 1 million contracts annually, with contract volumes growing 173% year-over-year and nearly 50,000 monthly active users.
The Technical Edge: Closing the Performance Gap
One of the biggest hurdles for on-device AI has been performance. Early versions often lagged behind cloud-based systems in both output quality and response times. But SpotDraft’s founders say that gap has narrowed dramatically.
“Now we’ve come to a place where, in terms of eval, we are seeing as little as 5% difference between the frontier models, and some of these fine-tuned on device models,” said Madhav Bhagat, SpotDraft’s co-founder and CTO. He added that speeds on newer chips are now “one-third of what we get in the cloud.”
The company’s VerifAI tool is designed to apply playbooks and recommendations directly inside Microsoft Word, integrating with legal teams’ existing workflows rather than forcing them into new platforms. “VerifAI will compare a contract against your guidelines, your playbooks, your prior policies,” Bhagat explained.
Beyond Legal: The Broader On-Device AI Trend
SpotDraft sees legal as just the beginning. Co-founder and CEO Shashank Bijapur told TechCrunch that demand for on-device AI is emerging most clearly in tightly regulated sectors, including defense and pharma, where internal security reviews and data residency requirements can slow or block cloud-based tools.
“The future of how enterprise AI is going to be – right now, there’s got to be AI that is close to the document, which is privacy critical, latency sensitive, [and] legally sensitive, and those are the things that will move on device,” Bijapur said.
The company plans to use the new capital to deepen its product and AI capabilities and expand its enterprise presence across the Americas, EMEA, and India. Qualcomm’s involvement extends beyond financing into joint development and go-to-market efforts for on-device deployments.
Productivity Gains Become Visible
As AI moves from theoretical promise to practical application, productivity gains are becoming measurable. A Financial Times analysis notes that while macroeconomic data hasn’t shown productivity acceleration, early signals are emerging in company-specific metrics like sales per employee and operating margins.
Examples abound: Walmart’s AI-driven supply chain automation reduced unit costs by up to 30% at fulfillment centers. Bank of America’s digital assistant Erica reduced call center volumes by 40%. SAP’s AI tools delivered �300 million in efficiencies in 2025, expected to rise to �500 million.
SpotDraft expects 100% year-over-year revenue growth in 2026, after growing 169% in 2024 and posting a similar growth rate in 2025. The company’s on-device workflow is currently available to a limited set of customers, with broader expansion expected as compatible AI PC hardware becomes more widely available.
As enterprises navigate the tension between AI innovation and data security, on-device solutions like SpotDraft’s represent more than just a technical choice – they’re becoming a strategic necessity for businesses handling sensitive information in an increasingly regulated world.