Guide

The Best Automation Tool for BigLaw Firms in 2026

At Am Law scale, the constraint is not capacity or budget. It is governance, security, and integration sprawl. The best tool is the one a risk committee will actually approve to touch client data.

The Caddi Team•June 10, 2026

For a BigLaw firm in 2026, the best automation tool is one whose runtime is deterministic code, that integrates the enterprise legal stack, and that clears a strict security and AI governance review. At this scale the question is never whether automation saves time. It is whether the firm can run it on privileged client data without an autonomous AI making decisions it cannot defend. That is the line Caddi is built around: AI builds the automation, verified code runs it.

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Who this guide is for

This is for firms over 1,000 people, Am Law 100 and 200, running the enterprise stack: Elite 3E or Aderant for billing, iManage for documents, Intapp for intake and risk, and Relativity for e-discovery, across many offices and a formal governance process. There is budget and there is staff. What there is not is tolerance for a tool that cannot pass the security review.

The work draining a BigLaw firm today

High-volume conflicts and new-business intake. Every new matter and lateral runs through checks and Intapp intake assembly that scale into a queue.
E-billing against client guidelines.Prebills come out of 3E or Aderant, get measured against each client's billing guidelines and LEDES rules, and route to partners, every cycle.
Integration sprawl. Dozens of systems across offices that rarely connect natively, with work moving between them by hand.
Strict governance on client data. Anything touching privileged matters must clear security, the AI committee, and change management.
Change management at scale. A workflow that works in one office still has to be rolled out and supported firm-wide.

0/day

conflict checks automated at an Am Law 100 firm on Caddi

client emails reviewed, drafted, or routed automatically

0%+

field extraction accuracy across 1,000+ production runs

Caddi customer results, including an Am Law 100 firm. At this scale, consistency and auditability matter as much as raw hours saved.

What to look for in an automation tool

Deterministic execution. Verified code at runtime, not an autonomous AI deciding what to do with privileged data.
Enterprise security and governance. SOC 2, permission inheritance, and a complete audit trail per run.
Enterprise integrations: Elite 3E, Aderant, iManage, Intapp, Relativity, and Microsoft 365.
No growing bot estate. Maintained automation, not a fleet of brittle bots with per-bot licensing.
Rolls out across offices the same way, with the controls change management requires.

The categories of tools, compared

Legacy RPA (UiPath, Automation Anywhere) is widely deployed in BigLaw and widely regretted: a large, brittle bot estate that breaks on UI changes and needs a dedicated RPA team to maintain and license.
DIY connector and iPaaS tools (Zapier, Power Automate, Workato) are not designed for privileged, unstructured legal work and rarely clear a firm's security and AI governance review for it.
Point legal-AI tools(drafting, research, and discovery copilots) are valuable in their lane but stay siloed; they do not move work across the firm's systems.
Done-for-you, AI-native automation (Caddi) is built from a recording, runs deterministically over APIs, inherits permissions, and is auditable, which is what clears governance at this scale.

	Enterprise RPA + DIY iPaaS	Caddi
Runtime on client data	Screen replay or autonomous steps	Deterministic, verified code
Security review	Hard to audit; case-by-case	SOC 2, permissions, full audit trail
Maintenance model	Bot estate + RPA team + per-bot licensing	Maintained by Caddi, no bot fleet
Enterprise integrations	Partial; connectors you wire yourself	3E, Aderant, iManage, Intapp, Relativity
Firm-wide rollout	Re-built per office	One automation, governed rollout

What separates an automation a risk committee will approve from one it will not.

Why Caddi is the best fit for BigLaw

Caddi is already in production at an Am Law 100 firm, automating roughly 150 conflict checks a day alongside intake assembly and matter setup. The reason it clears governance is the architecture: AI watches a recorded workflow and writes it as code, and that code is what runs against privileged matters, deterministically, over official APIs, inside each user's existing permissions. There is no autonomous agent making calls on client data, and every run is on the record.

Hit record

Screen-share the task once

Caddi writes it

As deterministic code

Runs unattended

Maintained for you

AI builds the automation from a recording; verified code runs it on privileged matters, inside existing permissions, with a full audit trail.

Caddi connects across 3E, Aderant, iManage, Intapp, Relativity, and Microsoft 365, 70+ integrations in all, with no new system of record.

The firms that widen profit per partner over the next few years will not be the ones with the boldest AI pilot. They will be the ones that automated the high-volume back-office work first, on an architecture their risk committee could sign off on without flinching.

How to get started

Pick a high-volume, governable function: conflicts, new-business intake, or e-billing prep.
Run it through governance once. Deterministic execution and an audit trail make the security review tractable.
Prove it in one office, then manage a firm-wide rollout.
Retire brittle bots as Caddi takes over the equivalent work.

For the strategy, see legal operations AI and digital twins for law firms. For smaller firms, compare the mid-market and small-firm guides.

See it built for your firm

Explore real legal workflows Caddi runs today, see the law-firm overview, or book a demo to watch one of your own workflows built from a screen recording.

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Do more with less

See Caddi in action

Tell us where to reach you and the calendar opens right here. In 30 minutes we'll show you how Caddi automates the back-office work that grows with your clients—built, run, and maintained for you.

Frequently asked questions

What is the best automation tool for a BigLaw or Am Law firm in 2026?

For firms over 1,000 people, the best fit is an automation platform whose runtime is deterministic code, that integrates the enterprise legal stack (Elite 3E, Aderant, iManage, Intapp, Relativity), and that satisfies a strict security and AI governance review. Caddi runs verified code over official APIs, inherits each user's permissions, is SOC 2 compliant, and is already used at an Am Law 100 firm to automate roughly 150 conflict checks a day.

Can we automate work on privileged client data without using autonomous AI?

Yes, and at this scale you should insist on it. Caddi uses AI to build the automation from a recording, but the automation runs as deterministic code, so it does not improvise or make autonomous decisions on privileged matters at runtime. That separation is what makes it defensible to a risk committee.

How does this handle e-billing and per-client billing guidelines?

Caddi assembles prebills from Elite 3E or Aderant, applies client-specific billing guidelines, and routes them to the right partner on schedule. Because it runs over APIs with an audit trail, the LEDES and guideline logic is consistent and reviewable rather than dependent on who ran the cycle.

Will this add to our bot estate and RPA licensing costs?

No. Legacy RPA grows into a fleet of brittle bots, each licensed and each needing a developer to maintain. Caddi replaces that model with maintained, API-driven automations, so you are not paying per bot or staffing an RPA team to keep the estate alive.

How does Caddi fit our security and AI governance requirements?

Caddi is SOC 2 compliant, runs deterministically, inherits your existing role-based permissions, and produces an audit trail for every run. It is designed to clear the security review, the AI committee, and the change-management process that enterprise firms apply to anything touching client data.