Professional-Services Technology
AI for firms whose work product is documents and judgment: drafting, review and extraction with confidentiality by design.
Reality check
What usually hurts here.
01Knowledge work is document-intensive and repetitive in the right ways to automate.
02Client confidentiality constrains which models and where they run.
03Output must be reviewable: traceability beats eloquence.
04Partners need confidence before client-facing AI is used.
Use cases
Where AI earns its place.
First-draft generation and review-support workflows with audit trails.
Document comparison, extraction and summarization pipelines.
Internal knowledge assistants over precedent and matter files.
Intake and triage automation with human checkpoints.
Technical considerations
01
Deployment topology is a first question: inside firm infrastructure vs. managed endpoints.
02
Traceability (what was used, what was produced) is part of the architecture.
03
Adoption depends on review ergonomics, not just model quality.
Services