6 Questions to Ask When You See "Research-Backed"

A lot of claims today come labeled "research-backed" — grounded in data, drawn from real usage, presented with the confidence of a finding. That label alone is worth pausing on: is there actually research behind it, and if so, is it any good? Most readers don't have a research methods background, and don't need one to get to the bottom of these questions — you just need to know what to look for...

Making AI Work for Your Law Firm: A Practical Guide to Adoption, Governance, and Value

This practical guide explains how law firms can use AI to streamline information-intensive work — without surrendering legal judgment. It outlines capabilities of AI and its risks, and provides a roadmap for selecting tools, establishing governance, training personnel, and measuring results. The central message is simple: AI can improve efficiency and capacity, but lawyers remain responsible for supervision, verification, client protection, and final decisions.

The Challenges with Self-Report

Self-report data, information people give about their own experiences, thoughts, behaviors, or attitudes, can capture things observation alone cannot easily reveal, such as motivation, perceived difficulty, and satisfaction. These reports show how a group of people felt about or experienced an event, but they cannot stand alone as objective proof of a phenomenon. Self-report works best when paired with data that objectively describes observable facts, which don’t depend on anyone’s perspective. Humans perceive the world through their own lenses, and answers depend on how well respondents recall events, how they interpret questions, and how comfortable they are disclosing information. Bias can enter even when respondents are trying to be honest.