DevTools · B2B SaaS Apps · 200–1000 · North America #b023_12

Context

We provide cloud practice management and client intake software for law firms, and we are building generative features over legal documents.

Industry

DevTools & Software · B2B SaaS Apps

Size

200–1000 employees

Region

North America

Tools budget

$5K–20K per month

Needs

Document AI & extraction. We need to turn messy legal paperwork into structured, trustworthy fields our product can rely on.

Today: a knowledge extraction team shipping legal assistant features across matter files · Urgency: now

LLM evaluation & testing. Lawyers cannot tolerate invented answers, so we need rigorous evaluation of model outputs before release.

Today: prompt engineering and evaluation done by the AI team with MLOps colleagues · Urgency: this year

Who decides

cto · security review

Expects from suppliers

Extraction accuracy reporting per document type; Evaluation suites with domain expert review loops; Strong confidentiality guarantees for client files

Not a fit

Models that retain or train on client documents; Generic benchmarks unrelated to legal work

Stack

LLM APIs in production, cloud: AWS-class hyperscaler, CI/CD pipeline in place

Buying triggers

AI adoption push, new market or product launch