Robert Ambrogi Blog
With $4.5 million in seed funding to date and the backing of several legal technology veterans, the legal technology company Entegrata aims to transform how law firms integrate and analyze data across disparate business systems in order to drive data-informed decision-making.
The investment in the company, which was made public today, was led by Chicago Ventures, with participation from OnDean Forward, the investment vehicle led by Andrew Sieja, founder of e-discovery company Relativity, and other former Relativity executives, and The LegalTech Fund, the first venture fund to focus exclusively on legal technology.
The company was founded in 2023 by Tom Baldwin, who is well known in the legal industry as the former chief information officer and chief knowledge officer at several major firms, including Cadwalader, Reed Smith, and Sheppard Mullin, and who was most recently a partner at consulting firm Fireman & Company, leading its work in knowledge management and related areas.
The company will use the investment to accelerate development of its platform, which is already being used by several major law firms, to expand its AI-powered analytics capabilities, including to provide firms with the ability to interact with their data through a conversational interface, and to scale its go-to-market activities, including by deepening its partnerships with leading law firms.
Consolidating Fragmented Data
Entegrata was formed to address a major challenge many law firms face, Baldwin told me in a recent interview: Firms are under increasing pressure to make data-driven business decisions, but their data systems are fragmented and siloed and their reporting tools are outdated.
“Law firms today are under immense pressure to become data-driven, yet most still rely on outdated, legacy systems not designed to handle the requirements of modern law firms,” Baldwin said. “Our platform consolidates that data and transforms it into actionable insights — making complex data simple and driving better decision-making across the firm.”
Founder and CEO Tom Baldwin.
It achieves that consolidation and transformation through its Azure-based data lakehouse, which provides firms with a secure, turnkey, scalable platform that centralizes, normalizes, and streamlines firm-wide data into a single source of truth.
While some firms have attempted to address this problem on their own by creating data lakes, Baldwin said that he too often hears from them that their lakes quickly turn “swampy.”
“Let’s say I’m at a firm and I DIY my own thing,” he explained, “and I’ve got data from Aderant and Workday and Intapp and Foundation and Active Directory over here in this bronze tier, and now I’ve got 15 fields of someone’s first name. Which one of those is the right one? Which is the source of truth?”
Entegrata’s lakehouse approach solves this issue through its development of a proprietary legal data schema with 3,500 fields. That allows firms to create a unified, cleaned dataset from various sources, including HR systems, accounting platforms, CRM tools, and even building access card swipes.
“Now all of a sudden … I’ve left behind the swamp. It’s organically cleaned, without me having to manually do anything, just by virtue of saying where the best data comes from. I’ve now got the best version of data from firm systems married with enriched data from third parties.”
Multiple Connectors and Power BI Templates
Entegrata features connectors to more than 15 different law firm systems with plans to add at least 20 more this year. It also enables firms to enrich their data through integrations with third-party data providers, such as the integration it announced in October with vLex Docket Alarm, a provider of court docket data.
The platform also provides a suite of pre-built Power BI templates, making it easy for law firms to deploy the platform rapidly and quickly begin to leverage their data for everything from financial reporting to diversity and inclusion.
The company says that its platform enables firms to begin streamlining reporting and unlocking insights within weeks, rather than the months or years typically required by traditional systems.
Incorporating AI
As the company continues to develop the platform, Baldwin told me, it is focusing on incorporating gen AI in order to provide law firms with deeper intelligence that moves beyond static reports to a more conversational interface.
“We’re going to let firms chat with their data,” Baldwin said. Firm leadership will be able to ask questions about anything from basic financial metrics to complex predictive analytics. Want to identify which clients might be at risk of leaving the firm? Entegrata will be able to predict this based on engagement patterns across multiple data points, Baldwin said.
One early adopter of Entegrata was the law firm Dickinson Wright. Mike Kolb, its chief operating officer, says the platform offers the potential to use AI to transform the business of law, much as AI is already doing for the practice of law.
“Law firms have data scattered across countless systems, making it nearly impossible to create a single source of truth,” Kolb said. “While AI is already transforming legal work, its impact on the business of law has been largely untapped — until now.
“As we work with Entegrata, we see the potential to bring firm-wide data together and leverage AI to answer critical business questions in real time. What once felt like a distant vision — interacting with data as easily as having a conversation — is quickly becoming a reality.”
In my interview with Baldwin, he underscored that idea that AI’s potential to impact the business of law remains largely untapped.
“What we’re doing is a little different,” he said. “If you think about the use cases in legal to date, they’ve been predominantly practice of law focused … We’re focused on arguably a much bigger, wider, broader and more impactful set of use cases on the business side.”
Unique Market Opportunity
Eric Duboe, a partner at Chicago Ventures, the firm that led this seed round, said his firm’s interest in the company was driven by both its unique market opportunity and its founders’ deep understanding of the legal sector.
“Tom and the Entegrata team are addressing a major gap in legal tech — helping firms unlock the full potential of their data,” Duboe said. “Tom’s extensive industry expertise and first-hand understanding of customer pain points make Entegrata uniquely positioned to lead this transformation.”
OnDean Forward, Andrew Sieja’s investment vehicle, has been an investor in Entegrata since its inception, and has also provided guidance and operational support.
“We are proud to support Entegrata in its vision to be the single source of truth for the data law firms need to empower their critical business decisions and to enable AI-driven workflows,” Sieja said. “As firms increasingly rely on technology, Entegrata is setting the new standard for trusted, actionable insights.”
The third investor, The LegalTech Fund, has become a leading investor in legal technology, as well as a company recognized for spearheading thought leadership in legal tech through its annual TLTF Summit, which I once called the Davos of legal tech, and which I more recently described as “the single ‘it’ conference right now in legal tech.”
Bart Czernicki, a strategic AI advisor to, said that he sees the company as well positioned to help firms use data to optimize operations, enhance profitability, and improve client outcomes.
“Entegrata’s unique approach delivers a purpose-built platform that addresses the industry’s unique challenges — siloed data, complex financials, and competitive pressures.” Czernicki said. “Powered by a centralized Azure data lakehouse, it accelerates AI adoption with less internal effort, unlocking insights faster and more efficiently.”
Bottom Line
In my opinion, Baldwin is correct when he says that AI’s potential to impact the business of law remains largely untapped.
To date, much of the investment in gen AI for the legal sector has, for good reason, targeted the practice-of-law side of firms – areas such as contract review, legal research, drafting, and litigation support. These tools are designed to enhance attorney productivity, accuracy and efficiency in delivering legal services, and they reflect an assumption that gen AI’s most-immediate value lies in streamlining these core aspects of legal practice.
However, my perception is that significantly less attention and capital have been directed toward applying gen AI to the business and operational side of law firms. There remains considerable untapped potential for AI to enhance firms’ operational efficiency, profitability and client engagement. And if you are going to innovate for firms’ business side, what better place to start than their data?