In my years of experience as a lawyer and legal tech expert, I have noticed a consistent pattern when teams are choosing their LegalTech tools:
- A legal team decides they need to invest in technology
- They book a few demos and are impressed by the capabilities they see
- The team chooses a tool, they go through the implementation, and it is finally live
- Months in, the team only uses a small percentage of what they could, and runs other tools in parallel to compensate for the gaps
According to Gartner, 64% of legal and compliance leaders plan to accelerate their investments in legal technology, yet most departments still fail to realize the full benefits of those investments. The fault, in almost every case I have seen, is that when choosing a LegalTech solution, the decision-making process starts from the wrong place.
Most digitization projects start at step 3. They skip the diagnosis, skip the measurement framework, and go straight to the solution. The result is a purchase built on a vague sense that “something needs to change,” which is rarely specific enough to change anything. That is what I want to address here: how to avoid investing in something your team will barely use, and why one element makes all the difference: the KPIs.
1. Understanding and defining KPIs for legal teams
KPIs stand for key performance indicators. Where things become genuinely challenging for legal teams is that the legal function is not used to thinking in these terms the way a sales or marketing team does. It is a quite different exercise.
The difficulty tends to show up in three questions:
- What can I actually measure as a legal professional?
- How do I measure it?
- How does it translate into business outcomes?
Because the goal extends beyond helping your legal team work more efficiently. Legal also needs to demonstrate its contribution to business results and to speak the same language as the rest of the organization.
The SMART framework to define what and how to measure
To move from “we want to improve” to “here is what we are measuring and by when,” the SMART framework gives teams a reliable structure:
- Specific: what exactly are you measuring?
- Measurable: in a concrete unit: days, %, number of incidents
- Achievable: realistic given your actual resources
- Relevant: tied to a business outcome, not just legal activity
- Time-bound: with a defined horizon: monthly, quarterly, or annual
Each solution area has its own KPIs
As teams begin to diagnose their situation (more on that in the next section), certain correlations emerge. Each area of legal work has metrics that fit it well, and those metrics should ultimately translate into business language:
| Solution area | KPI example | Unit |
| Contract lifecycle | Average contract cycle time | Days from request to signature |
| Contract lifecycle | % of contracts with completed review playbook | % |
| Board and governance | Board pack preparation time | Hours per cycle |
| Board and governance | % of board materials distributed on time | % |
| Matter management | Cost per matter vs. budget | € variance |
| Matter management | External counsel spend tracked vs. untracked | % visibility |
| Entity management | % of entities with current compliance data | % |
If you start a conversation with a vendor with this table already filled in, the tone of that conversation shifts. The vendor is no longer just selling capabilities. You are in charge and can lead with confidence, without that wow effect some tools create.
But in order to fill this table in with real numbers, there is one step you cannot skip.
2. Diagnosing your situation before entering any demo room
The biggest mistake I have seen teams make is going into a demo without first understanding where they stand today. The right order forces uncomfortable work first: sit with your team, look at where time is actually going, and name the friction points specifically.
Common bottlenecks in legal departments:
- Contract approvals that take weeks because there is no defined workflow
- Deadlines missed because obligations are not tracked centrally
- Intake requests arriving by email, phone, Teams, and corridor conversation simultaneously, with no single point of control
- Risk exposure that nobody has quantified, because nobody has tried
If you do not know what to measure, you will not know what you need. Without a diagnosis, every demo feels relevant. Every tool solves something but the real work is knowing whether it solves your something.
Once the picture is clear, go back to the KPI table and fill it in with real data. That is when vendor conversations shift from sales pitches to structured decisions, the vendor understands you are aware of what you need while choosing your LegalTech stack and pressure turns over to them.
3. Come prepared to lead the vendor conversation
Once you know what you are measuring, vendor selection becomes a different exercise. You have concrete criteria, a defined problem, and a clear way to test whether any tool actually closes your gap.
Four questions worth putting to every vendor, in this order:
1. How stable is your company, and where is your product going?
A vendor that does not evolve leaves your KPIs without support. This question is crucial when choosing your LegalTech tools. Ask about the financial track record and the product roadmap. Features matter today, but a roadmap tells you whether the platform will still be solving your problems in three years. Strong commercial results from early-stage vendors can sometimes obscure structural fragility.
2. Does your solution address my specific pain point?
Do not be dazzled by full suites. The KPI you defined tells you exactly which capability gap to close. Ask which module addresses it, how it is configured for teams like yours, and what comparable clients in your sector actually use it for. Nothing more.
3. How open is your architecture?
Legal technology rarely lives in isolation: contract tools connect to procurement, board portals connect to entity management, matter management feeds into finance. Without real integration capabilities, data stays fragmented and measuring KPIs centrally becomes impossible. APIs are not a nice-to-have. Ask for documented specifications and real integration case studies before moving forward.
4. What does your migration process actually look like?
Every legal department has historical data, and that data has real value. Ask who executes the migration, how data quality is verified, and how long the transition period lasts (the window where old and new systems coexist). A vendor that cannot answer this clearly is leaving the problem for you to solve later.
One dimension you cannot skip: AI governance
I have sat in many vendor conversations where a legal team asks every question on this list and then skips this one. It tends to be the one that matters most.
Most vendors, when pressed, will tell you they are “GDPR-compliant.” A certification tells you what security standards a vendor has agreed to. It does not tell you what happens to your documents when the AI processes them. Who built the model? Where does it run? What leaves your environment during that process, and where does it go?
I have seen teams discover, months after go-live, that their contract data was being processed by a third-party AI model they had never heard of. The team had asked about security. Nobody had asked about architecture.
Proprietary vs. Open AI
The gap between a proprietary AI engine and a third-party one goes beyond technical specifications. It is a compliance decision. The AI Readiness Blueprint for General Counsel explores this in depth, but the table below captures the core distinction.
| Proprietary AI | Open AI (e.g. OpenAI, Anthropic) | |
| AI engine | Own, European | Rented from third party |
| Data handling | Encrypted in own environment | May travel to third parties |
| Data sovereignty | EU data centers for EU clients | US provider, local DC |
| Cloud Act exposure | Not applicable (non-US clients) | Exposed |
| GDPR alignment | Full compliance | In tension |
For EU legal teams, data sovereignty is not a theoretical concern. Get the answer in writing, not just a verbal assurance during a sales call.
4. The project does not end at go-live
You have chosen your vendor and the implementation step is done. This is the part where most teams exhale and think they have won. But I would encourage you not to think this way.
Three forces need to be aligned for adoption to succeed, and in my experience, the absence of any one of them is usually what explains a stalled rollout.
The dream team to make a project succeed
Legal leadership
Direction and purpose need to come from the top. If the head of legal does not actively use the tool, the team will not either.
Executive sponsor
Someone who owns the project, is accountable for the budget, and can remove obstacles when the go-live date starts slipping. This person needs to be identified before the contract is signed.
Internal champions
2 or 3 people inside the team who believe in the change and bring colleagues along. They are the difference between a rollout and a stall.
Before launch, build a simple risk matrix: name the 3 things most likely to slow adoption and map a response to each. It is the difference between improvising during a crisis and having a plan ready.
After go-live, close the loop:
- Identify the bottleneck you set out to fix
- Implement the automation
- Measure the change against your baseline KPI
- Communicate the impact: to your team, to your GC, to your executive sponsor
That last step is the one I see skipped most consistently. A project that delivers results but goes unreported does not build organizational momentum, does not justify the next investment, and does not position legal as a function that drives measurable value. Which is precisely the point of the whole exercise.
Technology is the means, not the end
The goal is never to deploy a tool; the goal is to achieve a tangible, measurable business outcome. Technology is simply the vehicle that gets you there.
And when that outcome arrives, make sure you tell the story. Because value that goes uncommunicated is value the organization rarely recognizes.
Frequently asked questions about legal technology selection and KPIs for in-house legal departments
Before speaking to any vendor, a legal department should have three things documented: a map of its current state (where time is going, what is delayed, what is untracked), a clear list of specific bottlenecks, and at least 3 to 5 KPIs with defined units and measurement periods. Arriving at a demo without these means the conversation will be shaped by what the vendor wants to show, not by what the department needs to solve. Vendors are skilled at making their tools look relevant. The preparation work is what keeps the selection rational.
A KPI crosses the strategic threshold when it demonstrates progress toward a defined business objective, not just activity. “Number of contracts reviewed” is a tracking metric. “Average contract cycle time, from request to signature, reduced from 18 days to 9 days over 6 months” is a KPI: it has a unit, a baseline, a target, and a time horizon. The SMART framework (Specific, Measurable, Achievable, Relevant, Time-bound) is a practical filter. If any one of those five criteria is missing, the metric does not yet qualify.
Two questions cover most of the risk. First: where is the AI model hosted, and which legal entity controls it? A platform built on a US-incorporated AI provider is subject to the Cloud Act, meaning US authorities can compel access to data regardless of where servers are physically located. Second: does the platform process legal documents through a third-party model, or does it use a proprietary engine that keeps data within its own environment? For EU legal teams handling personal data, GDPR compliance requires a clear, documented answer to both. “We are compliant” is not sufficient. Ask for the architecture documentation.
