Notes on defensible legal AI workflows.

Harvey just closed another massive round. Legal AI is a hot category. Most of the capital is going to the wrong layer. Here's why the input layer is where durable value actually lives.

Paralegal outsourcing can cut overhead 40–60% and eliminate the ramp-time risk of in-house hires. Here's how PI firms evaluate, implement, and get results from outsourced paralegal support.

A repeatable workflow that turns a messy record into a deposition outline fast — with an exhibit table you can hand off.

A repeatable, defensible AI-assisted review workflow (with templates) — bounded scope, cite-backs, logs, and QA sampling.

The predictable ways AI privilege triage fails — and the fastest structural checks to catch each one.

A sampling approach you can actually run under deadline — bucketed sampling, error taxonomy, thresholds, and logging.

A procedural redaction QA checklist designed to catch text-layer recovery, metadata leakage, and attachment misses before production.

Small law firms hiring their first paralegal face tough budget and training decisions. AI-powered remote paralegal services offer a smarter path forward.

The CMS landscape has changed. Learn what PI firms actually need from case management software and avoid common mistakes when switching systems.

Paralegal burnout isn't a wellness issue — it's a business crisis. Here's what firm owners need to know about the real cost of turnover and how to fix the root causes.

Small PI firms are worried about AI replacing lawyers. Here's what's real, what's hype, and why AI-assisted with human oversight is the safe middle ground.