The acquisition combines Repario’s discovery and infrastructure business with UnitedLex’s wider legal services operation. How the two will be integrated, and what changes for clients, is not yet spelled out.
Repario has acquired UnitedLex, adding litigation, contracts, legal operations, intellectual property, AI advisory and incident response services to its e-discovery, infrastructure as a service and managed review business. Announced Sept. 28, the transaction brings UnitedLex’s more than 2,000 legal, business and technical professionals under a combined company led by Repario CEO David Moran.

Financial terms were not disclosed. Repario is backed by JLL Partners, and CVC Capital Partners had held a majority stake in UnitedLex since 2018. The combined company will serve corporations, law firms and government agencies from centers in the United States, Mexico, India, the United Kingdom and the European Union.
The companies say the aim is to apply AI across a broader set of legal workflows. For corporate legal departments, the announcement leaves three issues unresolved.
The first is integration. A single provider could reduce handoffs, but common ownership does not itself connect the systems, people and processes delivering the work. The release provides no integration timetable.

The second is continuity. UnitedLex CEO Renee Meisel said the acquisition would help the company leverage its AI investment while “preserving the continuity and service excellence our clients count on.” The announcement does not specify what that means for the teams and workflows existing clients rely on.
The third is data governance. The companies pair their AI plans with assurances about client control.
“There have been significant concerns that using AI in legal means giving up control of your data, visibility into the process, and confidence the results will hold up,” Moran said.
The companies say workflows will incorporate human review and accountability, with data handling guided by Repario’s published AI Principles and each client’s security, confidentiality and data-sovereignty requirements. The release leaves the operational detail unstated: which models process client information, where it resides, whether it is retained or used for training and who reviews the output.
The announcement names no new AI product or financial targets. It establishes a broader service menu, but not yet the case for simpler delivery.
