Desiree Sainthrope is a distinguished legal expert whose career has been defined by a deep mastery of global compliance and the intricate drafting of international trade agreements. With a professional lens that spans from intellectual property to the transformative impact of artificial intelligence, she offers a unique perspective on how technology is reshaping the foundational work of the legal profession. As firms increasingly move toward data-driven workflows, her insights into the intersection of legal ethics and technological transparency provide a roadmap for the future of litigation.
The following discussion explores the strategic expansion of legal tech into the American and British markets, the critical distinctions between traditional discovery and active fact management, and the movement toward “glass box” AI. We also delve into the democratization of high-level legal tools for small to midsize firms and the shift toward self-serve software capabilities.
With the recent $4.9 million funding round and the new San Francisco office, how are you prioritizing the U.S. market? What specific operational hurdles do you anticipate when scaling from Australia into the American and British legal landscapes, and how will you address them?
Expanding into the U.S. is the cornerstone of our current growth strategy, as it represents a massive opportunity to deploy our technology where litigation volume is highest. While we share foundational legal principles across jurisdictions like Australia, the U.K., and the U.S., the sheer scale of the American market requires a dedicated physical presence, which is why the San Francisco office is so vital. One of the primary hurdles is the nuance in local court procedures and the specific evidentiary standards that differ from the Australian system. We are addressing this by leveraging our $4.9 million in new capital to hire local experts and ensure our Fact Management System aligns perfectly with the workflows of U.S. attorneys. By establishing this foothold now, we are creating a springboard that will allow us to enter the U.K. market shortly hereafter with a proven model for international scaling.
Litigation and dispute resolution require verifying a massive volume of findings from various data sources. How does a Fact Management System differentiate itself from standard e-discovery tools, and what specific steps should a lawyer take to integrate this verification workflow into their daily practice?
Standard e-discovery tools are excellent at mining through mountains of data to find relevant documents, but they often stop at the “discovery” phase, leaving a gap between finding information and verifying it as an actionable fact. A Fact Management System is designed to bridge that gap by acting as a verification layer that confirms the findings generated by AI or manual reviews. To integrate this, a lawyer should first identify the “base layer” of their evidence—the specific data points that will form the backbone of their work product. Instead of just relying on a search result, the practitioner uses the system to track the evolution of a fact from its source document to its final placement in a brief. This creates a disciplined environment where every piece of evidence is vetted before it ever reaches the courtroom, significantly reducing the risk of inaccuracies.
Many AI tools are criticized for being “black boxes” that offer post hoc rationalizations for their answers. How does a “glass box” approach provide a more transparent alternative, and can you share how tracking every human and AI action changes the way a firm builds its work product?
The “glass box” approach is a direct response to the “black box” problem where AI provides an authoritative answer but cannot explain its logic, often resorting to post hoc rationalizations that are essentially educated guesses about its own process. In our system, we implement complete tracing, which means we record every single action—whether performed by an algorithm or a human user—to show exactly how a conclusion was reached. This changes the firm’s workflow from one of blind trust to one of informed verification, where a partner can look at a summary and see the precise portions of work that still require human oversight. By knowing exactly which document segments were used and which AI prompts were triggered, a firm builds a work product that is inherently defensible and transparent. This level of granular detail gives lawyers the confidence to stand behind their output, knowing the “why” behind every sentence they present.
While large enterprises have been primary users of advanced legal software, there is a push toward serving small and midsize firms. What self-serve capabilities are necessary for these smaller practices to adopt new technology, and how does this shift impact their ability to compete in commercial or family law?
For small and midsize firms, the traditional “demo-heavy” sales cycle is often a barrier to entry, which is why we are prioritizing self-serve capabilities that allow lawyers to dive straight into the software and test it within their actual workflows. These firms need intuitive interfaces that don’t require a dedicated IT department to deploy, particularly in emotionally charged or high-stakes areas like personal injury or family law. When a boutique firm can access the same fact-verification power as a global enterprise, it levels the playing field, allowing them to handle complex commercial litigation with a much smaller headcount. This shift means that a three-person firm can now manage the same volume of evidence as a much larger competitor, focusing their time on strategy rather than the manual labor of cross-referencing documents. We see this democratization as a way to bring high-level legal precision to every tier of the justice system.
What is your forecast for legal technology?
I believe we are moving toward an era of “radical accountability” where the novelty of AI will fade, and the focus will shift entirely toward the reliability of the underlying data. We will see a move away from general-purpose chatbots and toward specialized systems that prioritize the “fact layer” above all else, ensuring that legal professionals are never left vulnerable by an unverified AI hallucination. As more jurisdictions adopt these transparent “glass box” standards, the firms that embrace complete tracing will become the gold standard for clients who demand absolute accuracy. Ultimately, technology will no longer be just a tool for efficiency; it will become the primary safeguard for the integrity of legal work across the globe.
