The Ledger

Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.

clear all ✕

why aren't all 4 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable

Opinion
Claude is effective at building financial models from scratch, Lawrence says
“Building valuation models and building financial models. Claude is good at this, and it's been helpful when we start from scratch.”
John Lawrence Sep 14, 2026 ▶ 35:03 AI in the Investment Office – Abby Barlow, Laura Hill, Brian Sugrue, Jenny Heller, John Lawrence, Matt Bank, Kristin Kallergis Rowland, Jon Webster (EP.515)
Assertion Not checkable as stated
Rice Management saves a day per board memo using AI, Lawrence says
“On the front end, on our board memos, It's been tremendously positive beneficiary. We save about a day of time. That's a very onerous process. It consolidates the work that our team has already done and puts it into a template for us.”
John Lawrence Sep 14, 2026 ▶ 34:39 AI in the Investment Office – Abby Barlow, Laura Hill, Brian Sugrue, Jenny Heller, John Lawrence, Matt Bank, Kristin Kallergis Rowland, Jon Webster (EP.515)
Assertion Not checkable as stated
Canoe saves Rice Management operations roughly 30 hours, Lawrence says
“From operations perspective, processing incoming documents, the tool canoe, that's been helpful. Automating a lot of the integration of those documents into our current systems saves roughly, 30 hours of time for our operations team.”
John Lawrence Sep 14, 2026 ▶ 35:10 AI in the Investment Office – Abby Barlow, Laura Hill, Brian Sugrue, Jenny Heller, John Lawrence, Matt Bank, Kristin Kallergis Rowland, Jon Webster (EP.515)
Disclosure
Rice Management's centralized data lake house is delayed, Lawrence says
“The real challenge is aggregating our data into one centralized data lake house, which we're working on. It's easier said than done. That has taken more time than I would have expected. I was hoping we would have had this six months ago. We're still working on…”
John Lawrence Sep 14, 2026 ▶ 37:06 AI in the Investment Office – Abby Barlow, Laura Hill, Brian Sugrue, Jenny Heller, John Lawrence, Matt Bank, Kristin Kallergis Rowland, Jon Webster (EP.515)
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