Blog
How Deeligence is Redefining Legal Processes with AI
Elena Tsalanidis, co-founder of Deeligence, explains how AI is cutting the time lawyers spend on M&A due diligence in half, from a career that started at Buckingham Palace.
About the guest
Elena Tsalanidis
Co-Founder, Deeligence
Elena Tsalanidis is a co-founder of Deeligence, a legaltech platform that uses AI to halve the time lawyers spend on M&A due diligence. Her career spans the Royal Household at Buckingham Palace, private practice at multiple firms, serving as a judge’s associate at the Supreme Court, working at the Commonwealth Secretariat, and an operational role at London legaltech company Lexoo. She co-founded Deeligence with Justin, a law school friend and former M&A lawyer, after conducting hundreds of customer interviews that confirmed due diligence was the single most dreaded workflow for corporate lawyers.
Episode overview
Elena Tsalanidis flew from Melbourne to Sydney at Steve Grace’s request after he saw Deeligence’s raise and wanted to understand a legaltech company that was genuinely different from what had come before. The episode covers what due diligence actually is, why lawyers hate it, how AI is now capable of doing the extraction and summarisation work that once ate junior lawyer hours, and why a career that bounced through Buckingham Palace, the Supreme Court, and the Commonwealth Secretariat was precisely the preparation for founding a high-trust AI product in a risk-averse industry.
What due diligence is and why lawyers dread it
When a business is bought or sold, lawyers are hired to check it for risks. They work through a data room, a repository of hundreds or thousands of documents, finding the needles in the haystack and compiling them into a client report. The word that came up again and again in Deeligence’s customer interviews was “nightmare.” Not difficult. Not time-consuming. Nightmare. The work is skilled enough to require a qualified lawyer but repetitive enough to drain the most motivated person in any firm. Junior lawyers describe it as spending three years doing the worst part of the job before they can get near anything interesting.
“The word that would come up again and again in hundreds of customer interviews was nightmare. That’s a powerful word.”
Elena Tsalanidis on customer discovery 10:30
Why security had to come before everything
Elena is clear that the enterprise-grade security build was not optional. Law firm customers think about their systems like banks think about theirs. The confidential information in an M&A data room is among the most sensitive in any transaction. Building military-grade security was table stakes before the first sales conversation. It was also significantly more expensive than a standard SaaS build, but Elena describes it as unavoidable. Once security is established as a given, the conversation can shift to the actual value proposition: doing the document extraction and summarisation work faster and with less risk.
A career designed for this, without knowing it
The career path Elena describes reads like someone building an unusual founder profile by accident. Working at Buckingham Palace before law school because she wanted to do something legal-adjacent in London. Spending time as a judge’s associate and noticing she could help him process his judgment workload dramatically faster through systematic organisation. The Commonwealth Secretariat. A move into legaltech at Lexoo, where she first saw tech applied to legal process improvement at scale. She describes each step as contributing to a toolkit she did not realise she was building until she needed it all at once.
“I used to feel a little self-conscious about having had too many career lives. But I actually think every single one put me on this track and helped me sharpen my toolkit for this.”
Elena Tsalanidis on her career hodgepodge 14:30
Where AI works in legal and where it does not
Elena is careful to position Deeligence within what AI can actually do reliably rather than what the hype might suggest. Extraction and summarisation from structured document types is where AI performs above 90% accuracy consistently. Deeligence is not building AI that replaces legal reasoning or judgment. The platform is designed to take the parts of due diligence that are repetitive and document-intensive and automate those, so lawyers can spend their time on the judgment calls that actually require a qualified mind. This is the pitch that converts sceptical senior partners.
Key takeaways
Chapters
00:45What Deeligence does and Elena’s transition from law to legaltech03:15Initial challenges of building an AI-driven platform05:30How Deeligence speeds up the due diligence process07:00Overcoming law firm resistance to new technology09:10Impact of AI on manual work and efficiency for lawyers11:45Security and confidentiality in a legal tech platform13:30How Deeligence improves lawyer retention and client satisfaction15:20The future of AI in legal: what’s next for Deeligence
Mentioned in this episode
Frequently asked questions
What is Deeligence and how does it work?
Deeligence is a legaltech platform that uses AI to halve the time lawyers spend on legal due diligence in M&A transactions. It works by automating the document extraction and summarisation tasks within the data room to client report workflow, which is where AI performs most reliably. Both co-founders are ex-lawyers who felt this pain personally. The platform is built to enterprise military-grade security standards required by law firm customers.
Who uses Deeligence?
Deeligence’s customers are private practice law firms that conduct M&A due diligence, from boutique firms specialising in mergers and acquisitions through to mid-size national Australian firms and international firms. Current customers include Landers and Rogers and Hall and Wilcox. The platform is specifically designed for the data room to client due diligence report workflow, not general legal research.
How do you convince lawyers to trust AI with client work?
Elena Tsalanidis identifies three requirements: building to enterprise security standards so confidentiality concerns are removed before the conversation begins; focusing AI only on tasks where accuracy is reliably above 90%; and targeting early adopters who already understand that efficiency delivers better client service. She avoids trying to convince people who are fundamentally opposed, starting instead with partners who get it immediately and using their results to build credibility with the broader market.
What did Elena Tsalanidis do before founding Deeligence?
Elena worked at Buckingham Palace during law school, practised in private practice across multiple law firms, served as a judge’s associate at the Supreme Court, worked at the Commonwealth Secretariat, and held an operational role at London legaltech company Lexoo. Each role added a different layer to her toolkit as a founder, particularly her experience systematising workflows and improving operational processes in high-stakes legal environments.
What is the future of AI in legal due diligence?
Elena describes a road map that starts with extraction and summarisation, where AI is most reliable, and progresses toward more complex analytical tasks as the technology matures. She cautions against hype: for Deeligence to deliver value, AI must perform above 90% accuracy or busy lawyers will discard it. The near-term opportunity is significant given how much time currently goes into repetitive document review, before any more ambitious legal reasoning capabilities become feasible.
Topics discussed
Full transcript
Auto-generated, may contain minor errors. Click any timestamp to jump to that point in the video.
Show full transcript (39 minutes, 5 sections)
00:45 What Deeligence does
Elena described Deeligence as a legal tech platform using AI to halve the time lawyers spend on legal due diligence projects. The process, known as DD, involves lawyers checking a business for risk when it is being bought or sold. They go through a data room full of documents looking for problems and compile a report for their client. Elena described the work as finding a needle in a haystack of documents. Deeligence speeds up the extraction and summarisation work using AI, not legal reasoning.
03:15 Elena’s career: Buckingham Palace to legaltech founder
Elena described a career that bounced between unusual stops: working for the Queen’s private secretary at Buckingham Palace during the leadup to the Diamond Jubilee, practising as a lawyer at several firms, serving as a judge’s associate at the Supreme Court, working at the Commonwealth Secretariat, and an operational role at London legaltech company Lexoo. She described feeling self-conscious about the lack of a conventional career path until she realised every stop had been preparation for building Deeligence.
09:10 The customer discovery process
Elena and co-founder Justin tested their assumptions through hundreds of customer interviews with corporate lawyers. The consistent word that emerged to describe due diligence was nightmare. This clarity of customer pain gave them confidence in the problem. They remained flexible about the solution, iterating based on feedback from their law school network and early customers. They still call up founders and customers after every new feature launch to get unvarnished responses.
11:45 Security as table stakes
Elena explained that building to enterprise military-grade security standards was non-negotiable from day one. Law firms treat their data like banks treat money. The confidential information in an M&A data room is among the most sensitive in any transaction. This security requirement made the Deeligence build significantly more expensive than a standard SaaS product, but Elena describes it as unavoidable for the customer they were serving. Without it, no serious law firm would engage.
15:20 Where AI works in legal and the road ahead
Elena was careful to position Deeligence within what AI can do reliably rather than what the hype suggests. Extraction and summarisation from structured document types is where AI performs above 90% accuracy consistently. Deeligence does not build AI that replaces legal reasoning. The platform automates the repetitive document-intensive parts of due diligence so lawyers can focus their expertise on the judgment calls that require a qualified mind. The road map extends toward more complex analytical tasks as the technology matures and proves itself in this initial use case.
About the host
Steve Grace is the CEO and co-founder of The Nudge Group, a talent and advisory firm working with Australia’s fastest-growing tech and professional services companies. He has spent two decades recruiting and advising executive teams. Give It A Nudge is where he shares unfiltered conversations with founders, operators, and investors building something worth talking about. LinkedIn
More Blogs
View AllBlogs
How Authentic CEO Video Messaging Transforms Employer Branding
Blogs
Building a Corporate Leader Video Strategy for LinkedIn Growth
Blogs
What to Expect From High End Thought Leadership Video Production
Interested in finding out
more about The Nudge
Group?
Find out more about how we work and how we can help you grow your business.
