Six Ways To Evaluate Enterprise Legal Workflow Automation Platforms

Legal work is often terribly messy. Requests, contracts, NDAs, privacy reviews, marketing approvals, policy questions—all come into legal from every corner of the business, and through an often nasty bramble of disparate channels: email, Slack, conversations by the water cooler. 

Historically, enterprise legal and legal ops teams have tried to address this mess manually. They shepherd their disconnected processes to completion by hand—manually updating data fields, triaging requests, re-submitting forms, chasing followups, etc. etc. 

But this is hard work, and it comes with invisible costs. Lawyers end up spending hours triaging instead of practicing law. Legal ops teams spend all their time stringing together broken processes and bridging gaps instead of thinking about how to actually, systematically improve legal performance. Employees come to resent how much time all this triaging and gap-bridging takes, and so find ways to circumvent prescribed legal processes. Which necessitates more manual work. Industry research has found that about two-thirds of non-legal employees (67%) say they bypass legal and its policies.

This is how legal gets labeled a bottleneck.

Legal workflow automation technology exists to fix this. 

Legal workflow automation platforms have been around for a while now, for obvious reasons—the need is clear. But the market is now also crowded, and much of the technology available doesn’t actually solve the underlying operational issues, because it doesn’t change how the work actually gets done.

Changing how the work gets done is the real opportunity. AI agents, AI front doors and end-to-end orchestration now make it possible to connect the silos that create so much of this manual work.

The question, then, for overworked legal teams, is how to find the legal workflow automation technology with that potential in this overcrowded market—solutions that come with named integrations, specific independent governance controls, actual accessibility, airtight agentic orchestration, etc.

Here are five criteria enterprise legal teams should prioritize.

1. Intake that meets employees where they already work

Much legal work starts with intake. So, too, does the experience, for most employees, of engaging with legal. Bad intake experiences mean bad legal experiences. Processes that break down at intake, meanwhile, mean much downstream headache for legal and legal ops teams. 

One way to measure how effective your legal intake mechanisms are is by your rate of process adoption. Adoption makes or breaks any legal workflow investment. When Workday’s legal ops team rebuilt intake around where employees already work, adoption of its key intake process rose to nearly 100%. The project was led by Workday’s Legal Automation Group, which supports some 210 legal professionals worldwide

So what goes into a legal intake experience employees want to engage with—and thus legal processes that employees want to follow? 

You have to be able to mind the needs of those employees. If employees have to remember a new portal, log in, and fill out a 20-field form, they will go back to emailing their favorite lawyer. Which is worse than inefficient. Every request that bypasses the prescribed process is a request legal can't track, prioritize or report on.

What quality looks like: 

• One legal front door, many entry points. Employees should be able to start a request from Slack, Microsoft Teams, Outlook or email, a branded web portal, or the tools they already live in, such as Jira or Salesforce. Every request should land in the same queue. (See Tonkean’s AI Front Door here.)
• Here’s how it should work. A sales rep should be able to type "I need an NDA for XYZ by Friday" into Slack or Microsoft Teams or into an email, and a Legal Front Door should be able to capture that information and turn it into a structured request. 
• As employees are guided through an intake workflow from there, the Front Door should ask only the follow-up questions it needs. It should be so connected that it will be able to pull the rest of the information it needs from connected systems like Salesforce—and equipped with enough context to connect its own dots—and confirm receipt right there in the conversation. For example, the requester’s name, business unit and email should come from your identity system, such as Microsoft Entra ID, and deal details should come from your CRM. The requester should only be asked for what the system can’t already find
• Intake should adapt to the request. An NDA request and a litigation hold shouldn’t use the same form, and employees should see only the fields that apply to them. After submitting, requesters should be able to check status on their own, for example by asking ‘What’s the status of my NDA?’, instead of emailing legal.

2. AI-powered triage and routing

Manual triage is one of the biggest hidden costs in legal. Someone has to read every request, figure out what it is, decide how urgent it is and find the right owner. At enterprise volume, that can consume a full role, and it slows everything downstream.

Quality workflow automation platforms should take most of that work off people’s plates, leaving humans to handle only the exceptions

What quality looks like: 

• AI agents read each incoming request, classify it by type and risk, extract key details such as counterparty, contract value and jurisdiction, and route it to the right attorney, team or workflow automatically. Routing should follow rules legal ops can see and edit. For example, an MSA from sales over $50,000 goes to commercial counsel, a standard NDA goes to legal ops, and requests can be load-balanced across a team or escalated automatically when an SLA window passes
• Low-risk, repeatable requests should be resolved through self-service without a lawyer touching them. That could mean generating a standard NDA from an approved template, or answering a gifts-and-entertainment policy question from your own approved policy documents, with a link to the source.
• Lawyers see only the work that needs their judgment.

At Instacart, the legal ops team had grown to more than 50 people. Using Tonkean, moved intake out of a shared inbox, automated simple contracts end to end, and kept human checkpoints for complex agreements. Approving an easy request now takes a lawyer one click

3. Orchestration across your existing tech stack

Here’s the catch: to deliver on criteria 1 and 2, a platform has to connect with every team, tool and data system in your organization, not just legal tools. 

But nor should your workflow automation insist you replace your existing technology investment in favor of migrating everybody and everything over to one new legal suite. You and your agents need to be able to orchestrate work across the organization, meeting stakeholders where they work, accessing appropriate data systems, consulting appropriate policy documents. This is how agents get the context they need to act the way your organization actually works. And it’s how legal can finally begin to take back control over their own processes. Control is a function, in part, of connection. 

What quality looks like: 

• The platform acts as an orchestration layer that connects to the tools you already have, ideally through a large library of native, vendor-maintained connectors rather than custom code. For legal, that means CLMs such as Ironclad, Icertis, LawVu and Agiloft; document systems such as SharePoint, Box, iManage and NetDocuments; e-signature through DocuSign and Adobe Acrobat Sign; e-billing such as Thomson Reuters Legal Tracker; and the business systems legal depends on, including Salesforce, Workday, ServiceNow, SAP and Coupa
• A single contract request might validate the requester and counterparty against your systems of record, create a record in your CLM, check vendor status in procurement, loop in security for a data review, send for signature in DocuSign, write the executed agreement and its metadata back to your repository, and notify the requester in Slack, all in one coordinated process with every step logged.
• Your systems stay in place; the work flows between them.
• Be wary of any vendor that promises to replace everything. A good orchestration layer wraps around your document repository, CLM and e-billing system rather than duplicating them, so each system keeps doing what it does best.

4. No-code configurability owned by legal ops

Legal processes change constantly with new regulations, reorganizations, new product lines and revised approval thresholds. If every change requires an IT ticket or a vendor services engagement, workflows fall out of date within months.

Enter: no-code workflow and agent builders. (See Tonkean’s here.)

What quality looks like: 

• Look for two layers of control. One is a simple administration layer where non-technical legal ops staff change intake forms, routing rules, approvers and notifications. The other is a visual builder where power users create entirely new workflows, integrations and agents. 
• Adding a new privacy review step, changing an approval matrix or launching intake for a new request type takes hours or days, not quarters. 
• Templates for common legal processes, such as NDAs, contract requests, matter intake and legal inbox triage, speed up the first launch, and everything stays configurable after that. Be wary of claims of zero configuration; even good templates need tailoring to your matter types and approval matrix.
• Flexibility needs guardrails. Legal ops should be able to test changes in a separate build environment, restrict who can publish to production, and see a version history of what changed, when and by whom.

5. Enterprise governance, guardrails and visibility

AI raises the stakes for high-quality governance; by our book, it necessitates the kind of control allowed by something like an orchestration layer. General counsel need confidence that agents and automations act only within the policies and permissions legal has defined. That sensitive data is protected. And that every decision can be explained. 

What quality looks like: 

• Ask for proof, not adjectives: a current SOC 2 Type II report and ISO/IEC 27001 certification; encryption in transit and at rest (TLS 1.2+ and AES-256); SSO, SCIM provisioning and MFA through your identity provider, such as Okta, Microsoft Entra ID or Ping; and role-based access fine-grained enough to restrict a privileged matter to named attorneys.
• The ability to build deterministic guardrails into agents and workflows. For example: block a signature request until every required approval and document is present; enforce a four-eyes approval above a set value; apply country- or entity-specific approval rules and record which policy was applied.
• Real-time dashboards that show volume, cycle times, SLA performance, bottlenecks and workload by attorney, request type, business unit and country, plus self-service deflection rates, point-in-time views for management reviews, and export to tools like Power BI or Tableau.
• Know where your data goes when AI touches it. Look for zero-retention model configurations, a firm commitment that customer data is never used to train models, answers grounded in your own approved content, and the flexibility to choose or bring your own LLM provider.

6. Fast time-to-value and long-term ownership

The best platform on paper is worthless if it takes a year to launch. Ask vendors how they get you to value quickly, and how they get out of your way afterward.

What quality looks like:

• A phased rollout that starts with one high-impact workflow or practice group, such as NDA or commercial contract intake, then expands without reimplementation.
• A first workflow live in weeks, not quarters. Broader, multi-integration deployments typically take a few months.
• A proof of concept option, so you can validate the operating model before committing.
• A clear handoff. By go-live, your legal ops team should own day-to-day changes, with the vendor on call for complex integrations.
• Pricing that doesn’t penalize adoption. Look out for per-seat models that charge for every occasional requester, or fees for each integration.

Intake and adoption

• Can a request sent by email or Teams be turned into a structured request automatically, using AI?
• Can occasional requesters submit and track requests without a license or a new login?
• Can we see adoption and deflection reporting, not just volume?

Triage, AI and contracts

• Which AI capabilities run on deterministic rules, and where exactly does an LLM make a judgment call?
• Is our data ever used to train models? What’s the retention configuration, and can we choose or bring our own model?
• Can the system flag duplicate or related requests? How does it handle privileged matters?

Orchestration and integrations

• Which of our systems have native, vendor-maintained connectors, and what does a custom integration involve?
• Will this replace our CLM, document repository or e-billing system, or work alongside them?
• How do we migrate historical matters, and how do we export everything if we leave?

Configuration and governance

• Which changes can legal ops make without your team? Which require professional services?
• Is there a separate test environment? Can we restrict who publishes to production?
• What does the audit log capture, who can edit it, and can we export it as audit evidence?
• Can you provide your SOC 2 Type II report, ISO 27001 certificate and latest penetration test?

Implementation and cost

• What’s a realistic timeline for our first workflow, and for the full rollout?
• How does pricing scale as adoption grows, and are integrations or occasional users charged separately?

Learn more about Tonkean legal workflow automation—from intake to resolution

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