Step 4

Implementing in-house legal AI tools

Making a business case for AI

Once you’ve chosen your product and vendor, you’re almost at the most exciting stage of your AI adoption journey – but you’ll likely need internal buy-in to get your new investment over the line.

While many vendors promote AI capabilities, there remains a lot of uncertainty in the market around cost, pricing models, final feature experience, and long-term quantifiable benefits – particularly when it comes to the latest GenAI tools.

Investing in legal tech often requires a business case to help influence stakeholders on why the product you’ve chosen is the best option and, ultimately, to get sign-off for your investment. If you’re paying extra for built-in AI, you may well need to make a specific business case for that, too.

Key considerations

Putting together a business case for AI is, for the most part, not materially different to doing for your primary legal tech (especially if you’re purchasing an embedded AI-powered solution). However, AI brings with it a few additional considerations.

Here’s some tips for putting together a robust business case:

  1. Clearly identify your current situation, outline your team’s pain points, and communicate the positive impact of your proposed AI solution within the context of your larger business strategy.
  2. Draw on metrics and statistics to highlight how AI is going to unlock additional capacity within your team and demonstrate potential ROI. You can use tools like the legal efficiency and savings calculator to quantify the time and money currently spent on manual tasks by your legal team.
  3. Clearly connect your business case to larger business goals. Don’t forget to call out the benefits of risk reduction, time back for higher value work, better compliance, scale, and employee satisfaction. These are important considerations for any technology business case, and AI is no exception.
  4. Lean on your prospective vendor for business case templates and support with ROI projections. They should be able to help represent value, and share statistics which support your ROI projections. These will become more common for new GenAI capabilities over time, but may already exist when it comes to long-standing legal tech with AI capabilities.
  5. If you are called upon to justify the specific benefit or ROI of investing in a standalone AI tool (or add-on feature) especially one which leverages GenAI, here are a few things to consider:
    • GenAI is still in its early stages, so quantifying ROI and impact is challenging. This will become easier over time as adoption rates, studies, and references grow.
    • GenAI requires a higher tolerance for indirect, future financial investment criteria versus immediate ROI. This is for two reasons: adoption may be staged with more users and use cases emerging over time; and value is most likely to come from benefits which accrue financial gains over time, such as productivity, cycle times, faster upskilling, and higher employee retention rates.

Remember, AI is just another way to deliver on your overall legal tech goals – so focus on the fact that AI capabilities will amplify the capacity of your legal tech to achieve these outcomes and maximize overall ROI.

The AI adoption process 

Congratulations! You’ve found the perfect AI solution for your legal team – and you’ve got it over the line. You’ll want to start getting value out of your new investment as soon as possible, but don’t try to do everything at once. 

If you’ve chosen a product with scope for multiple use cases, consider how you might adopt these sequentially for results which best serve your business case. 

Remember, the relationship between your legal tech and its AI capabilities is symbiotic – by using AI strategically to build up your unified source of truth first, you’ll strengthen its capacity to optimize your core workflows – which, in turn, will build the evidence you need to progress to more advanced use cases.

Here’s an example of how you might approach scaled adoption in three stages using specific AI-powered tools:

A three-stage adoption strategy

Stage 1 - Get data in

Use import and extraction AI tools (e.g. AI-powered bulk import) to build your single source of truth at speed.

Stage 2 - Optimize core workflows

Leveraging your new single source of truth, adopt AI tools to optimize your “no brainer” use cases (e.g. AI-powered contract and invoice review) with minimal effort.

Stage 3 - Expand your use cases

As your vendor releases new AI features, you'll be well prepared to adopt them. Now is also the time to build on your core use cases from Stage 2 to enable your wider business. For example, if your legal team has adopted AI-powered contract review, start enabling internal clients to self-serve on simple contracts.
By moving through your journey at a strategic pace, you’ll build a far more sustainable relationship with AI over the long term.

Pro TIp

AI is an evolving technology – it will develop over time, as will the needs of your legal team. Choose a vendor who will allow you to start with your “no-brainer” use cases, gradually scaling up into multiple use cases. Focus on quick and reliable wins to begin with by choosing low-risk use cases that work out of the box.

Change management

Just as with your business case, mindset matters when it comes to successful adoption. Make sure you clearly communicate the value of your new tools to those who will actually be using them. 

If you’ve chosen your use cases well, this should be easy (for example, most lawyers will be relieved to no longer have to review contracts manually, or carry out data entry to get invoices reviewed properly)!

If you’ve chosen a vendor with a clear and supported implementation pathway and a well-designed user experience, you should be able to lean on them as you get things set up. As you roll out your tools, keep these change management best practices in mind: 

  • Start with the why. Define what success looks like, and reinforce the strategic value of your new tools to the wider organization.
  • Don’t ignore the human side of change. Involve key influencers in the tech selection process, and establish a team of AI champions to lead the way.
  • Maintain communication with users and stakeholders throughout implementation, and provide a clear avenue for negative and positive feedback. Make sure you celebrate the wins at every stage.
  • Capture and share data to show the impact of change as it progresses and reinforce the value provided by your new tools. This will also make it easy to spot any red flags as they come up and act on them promptly.

Measuring the success of legal AI tools

As with all legal technology, the success of your AI tools will be tied to the goals you have set for your overall tech stack – and the strategic priorities of your wider organization. 

When it comes to AI, the relationship between adoption and efficiency (and therefore, your overall ROI) go hand in hand, and will likely increase over time. To track progress, think about how you can use strategic KPIs and metrics to measure the impact of your new tools. For example, you might measure:

  • Levels of active uptake of AI tools within your legal department over time.
  • Rates of business user adoption of AI-powered self-service tools over time.
  • Indicators of increased efficiency which can be attributed to AI tools, such as reduction in contract turnaround times or faster invoice processing times. 
  • Percentage reduction in specific costs that can be attributed to AI tools, such as lower outside counsel fees. 

If you’ve chosen a vendor that is invested in your long-term success as a customer, they should be able to support you on this journey. 

Ideally, they’ll offer out of the box features, such as tracking dashboards, to help you gain detailed insights over time. This will allow you to genuinely understand the positive impact of your investment – and drive greater adoption as you move forward.

Ready to take the next step?

If you’re ready to start your journey towards successful AI adoption, and are keen to learn more about how a secure and scalable AI-powered legal technology platform could get you there, why not book your own demo of the LawVu legal workspace today?

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