AI can help a law firm extract information, organise material and prepare a first draft. It should not quietly become the person who accepts a matter, chooses legal advice or decides what is true. The useful model is assistance with visible sources, limits and review.
“Human in the loop” must mean more than adding an approval button. The reviewer needs enough context, time and authority to question the output and correct it.
1. Choose bounded tasks
Begin with work that has a clear input and a checkable output: extracting parties and dates, classifying an enquiry by practice area, summarising a document for internal review or drafting a standard administrative message.
Avoid vague instructions such as “assess the case”. They combine several professional decisions and make it difficult to see where an error entered the process.
2. Control the information sent
Before client information reaches an AI service, decide whether the tool and configuration are approved for that category of data. Understand where the content is processed, whether it is retained, who can access it and whether it may be used to train a model.
Send only what the task requires. Removing irrelevant names and identifiers is often both safer and clearer.
3. Preserve source and context
An extracted fact should link back to the message or document from which it came. A draft should make clear which sources informed it and where the model is uncertain.
Without provenance, review becomes guesswork. A polished sentence is not evidence, however confidently it enters the room.
4. Make review part of the workflow
Assign a named reviewer, define what they must check and prevent the output from moving forward until that review occurs. High-impact material needs deeper scrutiny than a low-risk internal label.
The reviewer remains responsible for the approved work. The presence of AI changes the method, not the professional duty.
5. Prohibit autonomous legal decisions
AI should not accept or decline a client, clear a conflict, set legal strategy, send unapproved advice or make a filing. These actions involve legal judgement, professional responsibility or consequences that a client may rely on.
Where an AI-supported workflow reaches such a point, it should stop and create a task for an authorised person.
6. Monitor quality over time
Track corrections, missed facts, false statements, bias, time saved and tasks abandoned by users. Models and prompts change; a workflow that worked in a pilot may drift after an update or a new document type.
Review a sample regularly and suspend the use case when quality falls below the firm’s threshold. Convenience is not a control.
The reviewable AI flow at a glance
- Select a narrow task with a verifiable output.
- Approve the data category, tool and configuration.
- Keep the source linked to each extracted fact or draft.
- Route output to a named and competent reviewer.
- Record corrections and the final approval.
- Monitor performance and stop when controls fail.
Scope note
Elisa, the LexFlow intake assistant, can collect initial details and support structured downstream review. Elisa does not give legal advice, determine whether a matter should be accepted or replace a lawyer. AI output may be incomplete or wrong and must be checked under the firm’s policies, professional duties and applicable law.
See how LexFlow works from intake to resolution, or review frequently asked questions.
Curious how this would look in your firm? Request a walkthrough and demo, or compare plans on the pricing page.
