AI agents for law firms.
Legal AI adoption jumped from 19% to 79% of professionals in a single year.[1] The question is no longer whether a firm will use AI; the question is whether it will use AI without breaching confidentiality and without an agent sending, filing, or billing anything a lawyer has not approved. Mirai360 AI builds for exactly that standard.
of legal professionals now use AI in some form, up from 19% one year earlier. Clio Legal Trends Report, Oct 2024.[1]
per week that AI could free for each professional within a year. Thomson Reuters, Jul 2024.[2]
productivity gains on five of six realistic legal tasks in a randomised controlled trial with 127 law students. Univ. of Minnesota / Michigan.[3]
How every deployment is framed
Each use case below follows the same discipline: name the workflow, define what the agent does, define what a lawyer approves, and measure the outcome against a baseline recorded before go-live. Confidentiality is the deciding question throughout: deployment in your own environment, access controls, an audit trail, and guardrails on every output.
The workflows agents take on
Client and matter intake
- Workflow
- Qualifying a new inquiry, checking for conflicts, and routing the matter to the right lawyer.
- What the agent does
- Runs a structured intake conversation, extracts the case facts, performs a first-pass conflict and eligibility check, and drafts the engagement summary.
- What the human approves
- A lawyer decides whether to accept the matter and confirms the conflict-check result.
- Measured outcome
- Lead response time and intake completion rate against the pre-deployment baseline.
Document review and summarisation
- Workflow
- Classifying, tagging, and summarising large document sets in discovery or due diligence.
- What the agent does
- Reviews the set, extracts obligations, dates, and parties, and produces summaries with citations back to the source documents.
- What the human approves
- A lawyer makes every privilege call and signs the final risk memo before it leaves the firm.
- Measured outcome
- Review hours per document set against the pre-deployment baseline.
Legal research, grounded in sources
- Workflow
- Turning a legal question into a memo supported by retrieved authorities.
- What the agent does
- Searches primary law, grounds every statement in a retrieved source, and drafts a cited memo. The retrieval step exists to reduce fabricated citations.
- What the human approves
- A lawyer verifies every cited authority before any reliance on the memo.
- Measured outcome
- In the randomised trial, the retrieval-grounded tool raised productivity 38–115% without adding hallucinations relative to baseline work.[3]
Drafting from precedent
- Workflow
- Producing first drafts of contracts, memos, and letters from firm precedent and matter facts.
- What the agent does
- Assembles a draft from your precedent bank and the matter record, and tailors clauses to the fact pattern.
- What the human approves
- The responsible lawyer edits and signs off before any draft is sent or filed.
- Measured outcome
- The randomised trial found its largest gains on drafting tasks, up to roughly 140%.[3]
Contract review against your playbook
- Workflow
- Checking an inbound contract against the firm's standard positions.
- What the agent does
- Compares terms to the playbook, flags non-standard or risky clauses, and proposes redlines.
- What the human approves
- The lawyer decides which redlines to accept and sets the negotiation position.
- Measured outcome
- Turnaround time per contract against the pre-deployment baseline.
Matter administration
- Workflow
- Tracking deadlines, drafting status updates, and preparing billing narratives.
- What the agent does
- Monitors dockets and deadlines, drafts client status notes, and prepares time-entry narratives.
- What the human approves
- The lawyer approves every time entry and every client-facing communication.
- Measured outcome
- Administrative hours per matter, the category Thomson Reuters estimates at roughly four recoverable hours per professional per week.[2]
What end-to-end agentic automation creates
Run together, these agents remove the reading, checking, and drafting queues that sit between a firm and its billable work. Every decision stays with a lawyer. Clio's analysis found that up to 74% of hourly billable task time falls in work AI can automate[1]; the firms that capture that time without a confidentiality incident will be the ones that treated deployment choice, access control, and audit trail as the first questions rather than the last.
Mirai360 AI deploys in your own environment when confidentiality demands it, logs every agent action, and puts guardrails on every output. Our platform reasoning is public: see what agentic AI platforms change for law firms and why running agents in your own cloud matters.
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We look at your practice, find the one workflow worth starting with, and tell you honestly whether it clears the bar.
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- Clio, 2024 Legal Trends Report, October 2024: clio.com/about/press/clio-latest-legal-trends-report/
- Thomson Reuters, Future of Professionals Report, July 2024: thomsonreuters.com/en/press-releases/2024/july/ai-set-to-save-professionals-12-hours-per-week-by-2029
- Schwarcz, Manning, Prescott, Barry, Cleveland, and Rich, "AI-Powered Lawyering," randomised controlled trial with 127 law students, University of Minnesota / University of Michigan: scholarship.law.umn.edu/faculty_articles/1207/