Recently, the LP Tech Summit brought together leaders from across private markets; LPs, GPs, data vendors, and infrastructure providers to talk about how technology is reshaping the way capital moves.
This year’s theme was clear: AI isn’t the advantage, adoption is.
Below are some key insights I took away from the different sessions and conversations ranging from the future of secondaries to how many of the Maple Eight peers re-institutionalizing generative AI.
From action to agency: The shift toward scalable intelligence
Across every panel, one question surfaced repeatedly: How do we scale capability without scaling headcount? LPs, GP’s and consultants are all grappling with the same reality. Data volume has exploded, but human bandwidth hasn’t. The future isn’t about replacing people; it’s about freeing them to operate at machine speed.
Firms’ focused growth will need to shift from manual data handling to automated insight generation and invest in systems that connect information across the enterprise. Platforms like Intapp DealCloud play a pivotal role in this evolution. The value lies in creating a structured, auditable layer across the investment lifecycle giving organizations the clarity and consistency needed to let AI generate trusted, explainable insights from complex data sets.
The operational reality: Use cases and constraints
Behind every big AI conversation was a very human constraint: time.
Teams are stretched across many tasks such as data gathering, analysis, valuations, and internal reporting. Many rely heavily on models, but those models are only as good as the data that feeds them.
An interesting discussion centered around an “ideal future state” where ILPA drives standardization and the hope that emerging AI tools can learn directly from ILPA’s frameworks. That could allow LPs to ingest and interpret fund data faster, and in a consistent format across hundreds of GPs.
The consensus: structured data is the real unlock. Once it’s standardized, AI will add value instead of amplifying noise.
Secondaries: Growing pains and the AI opportunity
Secondaries were a hot topic as well and not just because of volume. Industry titans in the secondary space, like AlpInvest and Hamilton Lane, highlighted how operational hurdles continue to make secondary processes painful. With complex data exchanges, legals reviews and multiple stakeholders, the process of managing a secondary transaction is extremely cumbersome. Yet everyone agreed: the secondaries boom isn’t slowing down. Continuation vehicles, longer hold periods, and liquidity demand are pushing the industry toward faster, more transparent processes.
What’s missing? The technological infrastructure. This is where DealCloud plays a critical role, creating visibility, traceability, and alignment across teams. Once those systems are in place, AI can start surfacing insights like GP pacing, asset overlap, or fund concentration automatically.
Inside view of GenAI rollout
During an industry session on generative AI adoption, one Maple Eight peer shared how it introduced ChatGPT Enterprise across its teams just six months ago and has already achieved close to 90% adoption.
What’s striking is that adoption was even across generations. Younger analysts and senior dealmakers alike are using it to streamline research, summarize insights, and accelerate analysis. This is proof that enthusiasm for AI isn’t limited to one age group or function.
As one speaker noted, AI use itself won’t create an unfair advantage – but lack of adoption will quickly become a disadvantage.
For those seeing AI adoption across teams, the internal pace of innovation now outstrips that of several of external partners. It’s a trend we’re seeing across the Intapp community: firms aren’t waiting for a perfect, all-in-one AI framework. They’re experimenting, integrating, and building smarter workflows right inside DealCloud using the tools already at their fingertips. It’s a reminder for all of us in the ecosystem: speed, integration, and governance need to evolve together.
LP reporting and the push for real-time insights
If there was one collective frustration, it was this: 90-day reporting cycles produce 90-day-old insights. LPs managing hundreds of GP relationships want faster, more actionable visibility into capital calls, portfolio health, and risk exposure.
Many LPs are now exploring ways to shorten the feedback loop between data collection and decision-making. With AI accelerating the pace of analysis, the industry is moving toward continuous valuation and forecasting, rather than static quarterly updates.
Intapp DealCloud enables that shift by connecting disparate data sources portfolio updates, GP reports, and internal models in one integrated environment. That structure allows AI to operate on clean, consistent information, transforming traditional reporting into forward-looking insight generation.
What it all means for private markets
Walking away from the LP Tech Summit, one thing is clear: we’re entering an era where data readiness defines competitiveness.
Firms that invest in structured data, integrated workflows, and human-AI collaboration will accelerate. Those that don’t risk getting left behind.
Intapp DealCloud, ILPA data initiatives, and enterprise AI adoption all point in the same direction — toward a market where insight generation is as automated as data collection once was.
The human element remains indispensable, but the advantage will belong to those who use machines to extend their judgment, not replace it. As one CIO summarized perfectly: “AI won’t replace analysts. But analysts who use AI will replace those who don’t.”
Final reflection
The LP Tech Summit wasn’t about hype. It was about agency, the ability to act faster, see sooner, and scale smarter. AI is simply the tool; the real story is the people and platforms making it usable.
Everything discussed, structured data ingestion, ILPA alignment, real-time reporting, and secondaries automation depends on one thing: a connected data backbone that unifies deal flow, portfolio tracking, and relationship intelligence.
DealCloud has become that backbone for many of the top 2400+ firms across private capital. It transforms unstructured workflows into structured insight, giving AI systems the clean, contextual foundation they need to amplify human decision-making. It’s not just a CRM or database, it’s the bridge between institutional knowledge and machine intelligence. Firms using it effectively aren’t just managing data; they’re compounding insight.
As the LP Tech Summit made clear, the firms that will lead the next decade are those that pair human expertise with systems that think with them, not for them. Intapp DealCloud isn’t the destination, it’s the infrastructure that gets us there.
Because in private markets, the future won’t belong to those with the most data, but to those who know what to do with it.