Operational workflows worth assessing
| Workflow | AI opportunity | Boundary |
|---|---|---|
| Matter intake | Classification, routing, information completeness | Human conflict / acceptance process |
| Document organization | Naming, classification, extraction | Access controls and review |
| Matter summaries | Synthesize activity and sources | Lawyer verifies material facts |
| Meeting follow-up | Actions and draft notes | Human approves external communication |
| Knowledge retrieval | Find internal precedents and materials | Source attribution required |
Design around confidentiality and privilege
Start with approved systems, clear data handling, restricted access and logging. Do not paste sensitive client material into tools that are not authorized for that data.
Example: matter status preparation
What not to rush
- Unsupervised legal advice.
- Final legal conclusions or filings without qualified review.
- Automated client commitments.
- Broad access to privileged repositories without least-privilege controls.
- Opaque scoring of people or outcomes.
Frequently asked questions
Can law firms use generative AI?
Yes, but use should follow applicable professional obligations, client commitments, confidentiality requirements and firm policies. High-impact legal work needs qualified review.
What is a good first AI workflow for a law firm?
A lower-risk administrative or internal knowledge workflow with approved data sources and human review is generally a better first pilot than client-facing legal judgement.
Should AI have access to all matter files?
No by default. Apply least-privilege access and only expose the sources required for the specific workflow.