BlogWorkflow automation
Workflow automation for law firms
Caddi connects iManage, Clio, Outlook and the rest of the firm's stack, and runs intake, inbox triage and document filing as deterministic code, built by the person who does the work.
Which law firm workflows to automate first, why RPA and DIY tools fall short on legal work, and how to roll it out without a developer.
- 99%of agent runs complete successfully
- ~45 minon average to build your first agent
- 1M+back-office tasks completed
By Jason AlafganiUpdated Oct 15, 2026
01What to automate
The work that piles up lives between your systems.
Intake emails that have to become matters, shared inboxes nobody owns, signed documents that need filing, invoices that need entering. None of it fits inside the DMS, the case manager or accounting alone.
intake@ shared inbox- New client inquiry: Ortega v. Brightline
Matter opened - Signed engagement letter.pdf
Filed to workspace - Vendor invoice #4471
Bill entered
A paralegal reads it in one screen and retypes it into the next.
Caddi connects the tools the firm already runs, iManage, Clio, Outlook and accounting, so intake, triage and filing move between them without the retyping.
02Why tools break
Legal inputs are messy. Most automation expects clean ones.
Varied PDFs, freeform client email, and a stack of systems that rarely talk to each other. Click-replay RPA breaks when a screen changes, and connector tools need clean fields to start from.
From: dana.ortega@example.com“Hi, I was let go from Brightline last month after reporting a safety issue. A friend said you handle these. Can someone call me?”
An RPA bot someone has to maintain, or a Zapier flow someone has to build and babysit.
Caddi reads the email or PDF, pulls the fields, and runs over APIs as deterministic code, flagging anything unsure for review.
03The rollout
Nobody on the team should have to become a developer.
Start with one capacity-constrained function, usually intake, a shared inbox or document filing. The person who does the work today owns it, and the real savings arrive when it moves from a manual trigger to a schedule.
- Pick one inboxintake@
- Screenshare the jobBy the paralegal who does it
- Test runsReviewed together
14 done1 for review
An IT project, an RPA developer, and a quarter of build time.
The person who does the job screenshares it or describes it in chat. Caddi builds it, you test it together, then it runs on a schedule. Change it as the work changes.
From law firm teams running Caddi
“It's already at the point where we have it running on a schedule. When they come in in the morning, they go into the work that was processed and just double-check. All of the admin team can take ownership of that.”
Operations manager, law firm “With the last two cases that I tested, results were both good. In terms of the extraction, everything is good.”
Case assistant, law firm “I think there's a lot more things that are more rote processes that are kind of ripe for a deterministic approach.”
Partner, law firm
Caddi
See how Caddi AI Agents can open matters and file documents and run your firm's back office the same way every time
Frequently asked questions
What is workflow automation for law firms?
Workflow automation for law firms uses software to run repetitive, cross-application back-office work, such as client and matter intake, shared-mailbox triage, document filing across the DMS, and data entry into case management or accounting, without a person doing each step manually. The highest-value targets are the document- and inbox-heavy processes that pile up as a firm grows.
Which law firm workflows should I automate first?
Start with a capacity-constrained function: new matter and client intake, shared-mailbox and mail triage, document movement between systems (iManage, NetDocuments, Clio, Filevine, SharePoint), and extracting fields from PDFs into your system of record. Moving these from manual triggers to scheduled, unattended runs is where the biggest savings appear.
Why don't generic automation tools work well for law firms?
Legal back-office work has unstructured inputs (varied PDFs and freeform email), a patchwork of DMS, practice-management, and accounting systems that rarely connect natively, and processes owned by paralegals and ops admins rather than developers. Classic RPA breaks on UI changes, and DIY connector tools require clean inputs and a team to build and maintain every workflow.
How is AI-native automation different from RPA for law firms?
Classic RPA tools such as UiPath and Automation Anywhere replay screen clicks, so they break when a screen changes and need an RPA developer to maintain. DIY connector tools such as Zapier, Make and Power Automate expect clean inputs and leave your team to build every workflow. Point legal AI tools solve one task but do not move work across your systems. AI-native automation reads unstructured email and PDFs, runs over APIs, and is built from a screen recording or a description in chat.
Do I need a developer to automate law firm workflows?
Not with an AI-native, record-to-code platform. With Caddi, a paralegal or ops admin records the task on a screen-share and Caddi builds the automation as deterministic code, runs it over APIs, and maintains it, so the firm doesn't need RPA developers or IT to own automations.
How should a law firm roll out workflow automation?
1. Pick one capacity-constrained function, usually intake, a shared inbox or document filing. 2. Name a loop owner, the person who does the work today. 3. Have them screenshare the job or describe it in chat, test the runs, then move it from a manual trigger to a schedule, which is where the savings jump. 4. Expand across the firm as new high-volume workflows surface.
Which systems does law firm workflow automation need to connect?
The document, practice management, CRM and Microsoft 365 tools the firm already runs: iManage, NetDocuments, Clio, Filevine, Litify, Intapp, Salesforce, DocuSign, PracticePanther and SharePoint, plus accounting. Caddi connects to 150+ tools, so the automation moves work between them instead of adding another system.
Is law firm workflow automation secure and compliant?
It can be. Caddi runs on deterministic code in production (not autonomous AI decisions), is SOC 2 compliant, and provides audit trails and role-based access: the controls firms and their AI committees need for confidential client data.