Term Intelligence

Benchmark fund terms against the market

Revolutionize how you negotiate fund terms

Term Intelligence is an intuitive benchmarking solution that enables you to compare LPA terms against the wider market.

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Benchmarking

Secure trustworthy insights on LPA terms

Benchmark economic and non-economic terms across hundreds of LPAs to know if your fund terms align with market standards. Empower your fund term creation and negotiations with objective data on LPAs that can be filtered by asset class, strategy, vintage, and fund size.

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Fee and expense transparency

Combat fee and expense ambiguity

Use granular benchmark analysis of the fees and expenses that are most heavily negotiated and subject to review. Assess an itemized catalog of fund charges, giving you an additional layer of intelligence to support negotiations.

See Preqin Term Intelligence in action

Schedule a demo today to better prepare for LPA negotiations

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Asset class comparison

Explore new asset classes and strategies

Understand how LPA fees and terms differ from one asset class to the next and gain the detailed insights you need to help make key decisions.

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ILPA compliance

Analyze ILPA compliance

Compare ILPA compliance of a fund’s terms against benchmarked funds. Understand which of the ILPA 3.0 Principles other funds comply with and whether their terms stack up against the market using a traffic light scoring system.

It’s long been ILPA’s mission to achieve greater transparency, alignment, and good governance across our private markets industry. And solutions like Term Intelligence contribute to that vision – particularly by providing LPs with data and insights that have historically been difficult to capture and analyze.

Data you can trust

Benchmarking dataset

Term Intelligence benchmarks derive terms from a dataset of 3,500+ constituent funds.

Benchmarking data source

Aggregated and anonymized LPA terms data is sourced directly from LPAs.

LPA terms extracted by lawyers

A team of in-house lawyers follow a robust process to extract, aggregate, and anonymize the data to ensure confidentiality.

Anonymized data

Only anonymized and aggregated data is added to the benchmarks. Filter the data by asset class, strategy, fund size, and vintage.

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