Erin Millender – Hyperscience

As general counsel at Hyperscience, Erin Millender oversees far more than contracts, compliance, and risk management. She leads a lean but impactful team, each of whom brings specialized expertise in technology, procurement, and commercial law. Together, they provide the kind of nimble, proactive legal support that mirrors the company’s broader mission: simplifying complex processes and enabling efficiency.

Erin Millender | Hyperscience | General Counsel

“Being proactive is a true advantage,” Millender notes, describing her philosophy for building a legal department that anticipates needs rather than merely reacting.

Her focus on clarity and accessibility—making legal guidance straightforward and actionable—has been a hallmark of her leadership. Much as Hyperscience’s platform reduces friction in document processing for its clients, Millender and her team reduce friction for internal stakeholders, helping them move faster and with greater confidence.

Millender’s path to Hyperscience prepared her well for this type of leadership. With a degree in international relations from the University of Pennsylvania and a JD from Northwestern University’s Pritzker School of Law, she spent over a decade in private practice before joining the company in 2020. She became General Counsel in early 2024, stepping into the role just as AI regulation and ethical questions were beginning to accelerate worldwide. That timing has given her both a front-row seat and an active role in shaping the next chapter of responsible AI development.

At the forefront of AI innovation

Founded with a vision to connect human and artificial intelligence, Hyperscience has become a leader in automating data-intensive workflows. Its Intelligent Document Processing (IDP) platform is built on advanced machine learning models that can read, extract, and structure information from any document type, whether that’s within forms, claims, applications, or other records and regardless of whether it’s structured, semi-structured, or unstructured. The goal is simple but powerful: reduce the manual, error-prone work that slows down organizations and frees people to focus on higher-value tasks.

The company’s reach extends across industries, with clients in finance, healthcare, insurance, logistics, and government. A recent milestone was its partnership with Hirschbach Motor Lines, where Hyperscience is helping modernize document workflows in the trucking industry. By addressing inefficiencies in sectors that have historically lagged in digital transformation, Hyperscience demonstrates that AI isn’t just for tech-forward enterprises—it can unlock productivity in markets where paperwork has long been a bottleneck.

Security and compliance are central to this expansion. The company’s FedRAMP High certification, one of the most rigorous designations in the federal space, positions it to serve government agencies that handle sensitive citizen data, such as the Department of Veterans Affairs and state governments processing SNAP benefits. For Millender, certifications like FedRAMP High aren’t just checkboxes—they signal a level of diligence and protection that Hyperscience applies across its client base.

“Meeting the needs of customers in highly regulated sectors is the best way to build optimal outcomes,” she explains.

Hyperscience describes its philosophy in a simple phrase: “Humans teaching. Machines learning.” This “human-in-the-loop” foundation ensures the company’s AI remains trustworthy, accurate, and adaptable—a balance Millender and her legal team reinforce daily as they help operationalize innovation responsibly.

Shaping the ethics of AI

Perhaps Millender’s most influential contribution is her leadership of Hyperscience’s AI Ethics Governance Committee. This cross-functional body addresses issues of data privacy, bias, transparency, and accountability—topics that are rapidly becoming front and center in both industry and regulatory discussions.

“We are an AI-native company, so we’ve thought about AI from the beginning,” Millender says. The committee’s work reflects that early foresight. By establishing principles and governance frameworks before regulations solidify, Hyperscience is future-proofing its technology and building trust with customers who are increasingly cautious about AI adoption.

Millender emphasizes that not all AI is created equal. European regulators, for example, have begun categorizing AI by risk level. At one end of the spectrum, generative tools like Large Language Models (LLMs) used to write emails present a relatively low risk; at the other, AI applications in defense or nuclear systems pose existential concerns. Hyperscience’s platform, focused on document automation, would likely fall into a lower-risk category under this framework. Still, Millender insists that transparency and consumer education are critical.

“We can future-proof things by being as transparent as possible about how our products work,” she says.

Her committee also takes generational attitudes into account. Younger cohorts like Gen Z and Gen Alpha, she observes, are more wary of technology than many assume.

“There will be an inevitable backlash or at least a market correction,” she predicts, suggesting that companies that overpromise or misuse AI will face consequences. Hyperscience’s emphasis on thoughtful, transparent design positions it well for this coming shift in expectations.

Millender sees the legal profession itself being transformed by AI. She points out that lawyers rarely get the chance to help shape an entirely new field of law in real time.

“We’re writing the rules as we go,” she reflects. “Nobody knows exactly what they’re doing, but we’re all in the same boat together.”

For her, this isn’t a source of anxiety—it’s what makes this moment so exciting.

Scaling with trust & foresight

Hyperscience’s continued success will depend not only on technology but also on the trust it builds with clients, regulators, and the public. Millender’s dual focus—operational excellence and ethical leadership—provides that foundation.

Internally, she has crafted policies for the responsible use of generative AI tools like Google Gemini.

“Confidentiality is key,” she stresses, describing how her team evaluates which information can safely be entered into AI systems and how they monitor for accuracy.

At the same time, she embraces the efficiencies these tools bring, from summarizing contracts to streamlining compliance reviews. The goal is not to resist AI but to wield it wisely.

Externally, her legal strategies enable Hyperscience to expand into new markets with confidence. In industries like logistics, insurance, and government services—where inefficiency costs both time and money—Hyperscience provides measurable impact. By ensuring that contracts, data protections, and compliance frameworks are airtight, Millender helps the company deliver innovation without exposing clients to undue risk.

Her own career path—from project finance at a major law firm to overseeing the legal architecture of an AI-native company—underscores the broader transformation underway. What once looked like infrastructure in the form of roads, bridges, and energy grids now looks like digital infrastructure built on data and machine learning.

“This is the infrastructure of the future,” Millender says, and for her, ensuring that it’s built on fairness, equity, and transparency is a personal mission as much as a professional one.

Hyperscience’s slogan, “Humans teaching. Machines learning.”, captures both its product and its philosophy. Millender’s role ensures that as the machines learn, the humans remain firmly in control—shaping outcomes that make society more efficient, secure, and equitable.

“Technology must be a positive force in the world,” she emphasizes. “That is what we’re focused on.”