AI for Law Firms
Risk-controlled automation for intake, documents, client updates, and matter admin
Tenaxity builds AI automation for law firms where process speed matters, but confidentiality, review, and human judgement must remain central.
Where AI for law firms earns its place
For most practices, AI for law firms is not about drafting pleadings. It is about the operational work around each matter: getting enquiries into shape, chasing documents, keeping clients informed and stopping admin from eating into chargeable time. Tenaxity looks for these leaks before building anything, and designs every workflow so attorneys and solicitors stay in control of anything that involves legal judgement.
Intake information arrives unstructured
AI can summarise enquiries, classify matter type, identify missing information such as the other party's name, and route the file for review.
Matter admin consumes fee-earner time
Workflows can create tasks, summaries, reminders and handoff notes from approved sources, so time recording reflects legal work rather than filing.
Client updates need consistency
Draft status updates can be assembled from matter notes and held for human review before sending, so no client waits weeks for news.
How the workflow runs, step by step
Each build is designed around the workflow, not the tool. AI is used where text and context are messy, such as an enquiry email or a long thread. Fixed rules handle the parts that need repeatability, such as routing, deadlines and who approves what.
Intake
Web forms, emails, referrals and call notes are captured with their source and any consent given.
Classify
Matter type, urgency, missing details, possible risk markers and the right owner are identified using your firm's rules.
Prepare
Draft summaries, task lists, document checklists and client update drafts are created inside your case management system.
Approve
Sensitive outputs wait for a named person to approve them, and every action is written to an audit log.
AI legal intake that feeds your case management system
AI legal intake works best when the result lands where your team already works. Tenaxity builds mostly on n8n, an open workflow platform, adding a language model only at the steps that need reading or drafting.
Practice and case management
We can connect to Clio, LEAP and Actionstep through their APIs where your subscription allows it. A workflow can create a lead or matter, attach the intake summary, set the next task and update the status, so nobody re-keys the same details.
Email, documents and calendars
Most matter traffic runs through Outlook or Gmail, with files in SharePoint, OneDrive or a document management system. Workflows can file emails to the right matter, check document checklists and draft replies for review. Our AI email automation page explains the inbox side.
Confidentiality first: SRA and ABA expectations
Artificial intelligence for law firms has to meet the same professional duties as any other tool a firm uses. We design around those duties from the first conversation, while your firm keeps responsibility for its own compliance decisions.
Solicitors in England and Wales
The SRA Code of Conduct requires firms to keep clients' affairs confidential and to supervise work properly. In practice that means agreeing which systems the workflow can read, keeping client data out of tools that may retain it, and making sure a solicitor checks anything that goes to a client or a court.
Attorneys in the US
ABA Model Rule 1.6 and state bar rules on confidentiality apply to AI tools too, and the ABA's 2024 opinion on generative AI asks lawyers to understand the tools they use. Our builds document what data each step sees, where it is processed and who reviews the output.
What Tenaxity can build, and what stays with a lawyer
Legal AI automation handles the repetitive admin. Advice, conflict decisions, fee agreements and anything filed with a court stay with qualified people.
Automation candidates
- Matter intake triage
- Conflict-check data gathering for a person to review
- Document checklist and chasing workflows
- Client status update drafts
- Matter admin task creation
- Internal handoff summaries
- Risk and exception escalation alerts
Controls built in from day one
- Human approval for client-facing or legal-content outputs
- Confidentiality-aware source access
- No automated legal advice
- Audit logs and clear exception routing
- Minimum data sent to any language model
A worked example: new enquiry intake
The figures below are hypothetical assumptions to show the arithmetic, not results from a client.
Before automation
Say a 15-person firm receives 60 new enquiries a week. A fee earner spends 10 minutes on each one reading it, working out the matter type, logging it and deciding who should call back. That is 60 x 10 = 600 minutes, or 10 hours a week.
With an intake workflow
Now say the workflow classifies each enquiry, drafts a summary and creates the record, and a person spends 3 minutes checking it and confirming the owner. That is 60 x 3 = 180 minutes, or 3 hours a week, with the same human decision at the end. Your numbers will differ, so we measure them first.
Book a free auditSpeed up matter admin without weakening review
Automation should make intake, documents, updates and matter admin clearer while preserving confidentiality, judgement and approval.
Qualify intake before it spreads
Structure enquiry details, conflict-check prompts, missing information, urgency and matter type before routing. Enquiry handling also overlaps with our customer support automation work.
See intake examplesKeep client records accurate
Flag matters with no next step, contacts with missing details and enquiries that never got a reply.
Explore CRM automationKeep risk boundaries visible
Define what AI can read, draft, suggest, or never touch before connecting legal workflows.
Book a free auditAI for law firms: FAQs
Short answers for firms deciding whether a workflow is worth mapping properly.
What can AI automate without risking client confidentiality?
Work that can run on limited, agreed data: intake triage, document chasing, task creation, filing emails to matters and draft updates that a person approves. Access is restricted per step and every action is logged.
Can AI give legal advice?
No. Tenaxity builds operational workflows around intake, admin, summaries and drafts with human review, not unsupervised legal advice.
Can this handle confidential data?
Only with the right access model, data boundaries, permissions and logging agreed before build.
Which case management systems can you connect to?
We can connect to Clio, LEAP and Actionstep through their APIs where your plan allows it, plus Outlook, Gmail, SharePoint and OneDrive.
How does this fit SRA or ABA rules?
We design around confidentiality and supervision duties, document what data each step sees and keep a lawyer on every client-facing output. Your firm still owns its compliance decisions.
Does AI run conflict checks?
It can gather the names and details a conflict check needs and present them for review. The decision on a conflict stays with a person.
What is a sensible first law firm workflow?
Matter intake triage, document chasing, or client update drafts are usually safer first candidates than judgement-heavy workflows.
Is this only for large firms?
No. AI for law firms is often most useful in smaller practices, because the same few people handle intake, admin and client work. A free audit shows whether one workflow is worth building.
Start with the workflow that will repay the build fastest
Book a free audit and Tenaxity will map the process, identify the automation path, and define the approval points before implementation starts.