New playbook: when your own AI model pays. Read
Kirkland & Ellis (legal services) reported this on 3 Aug 2026 in earnings call (source). It belongs to the data and ontology layer.
The Fund Formation Engine on Palantir AIP and Ontology, bringing institutional knowledge, data and workflows for private-equity fundraising (documents, side letters, obligations, closings, compliance) into one system for every lawyer.
Analysis, discussion and drafting work that took a lawyer days now takes minutes (firm statement quoted on Palantir's earnings call).
The number covers fund-formation workflow; volume or headcount figures disclosed is not reported.
“What used to take days for a lawyer to analyze, discuss, and draft now happens in minutes,” Kirkland & Ellis said.
Shared definitions of your metrics and records, used by both staff and agents.
Read the guide to data and ontology.
10 minutes
to scope a supply shortage, down from 3 months and 30 people
An enterprise data layer on Palantir Foundry unifying 33 ERPs (~3.5M data connections), feeding a Sector Control Tower for executives and a Program Digital Cockpit for program teams (source).
27 days
faster time-to-sign for candidates
A recruiting and hiring agent in Microsoft Copilot Studio, grounded in the Celonis Context Model (process-mining data on how hiring actually flows), used by recruiters and hiring managers (source).
2 months
for a 1% forecast-error gain that last took a year
A Genie-based research agent on Databricks that answers finance and store-operations questions about the labour-demand forecast, with explanations, replacing data scientists answering stakeholder emails (source).