Step 3

Choosing AI tools for in-house legal

Once you’ve done the groundwork to prepare your in-house legal team for AI, you’re ready to choose a product to deliver on your goals – and the right vendor to deliver it. 

AI is a feature, not a product

By now, you know that for AI tools to deliver optimal value from a data perspective, they should come as an embedded feature of a dedicated legal technology solution, not as a standalone product.

However, data is only one of the many reasons to apply this lens as you go to market for AI. Here are the rest:

1. Embedded tools are more efficient. 

AI tools are currently the most advanced vehicle for delivering the outcomes that legal technology has long been designed for: optimized efficiency and insights. 

AI will always deliver these outcomes better when it’s fully integrated into the systems it supports, because this eliminates the task of manually pulling together fragmented data to build the source of truth that AI needs to do its job.

Example
AI-powered search is more powerful if it’s able to search across a complete repository of contracts and matters. If this tool is built into a solution which already manages matters and contracts in one place, it can do this job instantly without the need to manually collate data from across multiple systems.

2. AI enhances workflows – without additional overhead.

Legal technology solutions (such as matter management, contract lifecycle management, and spend management tools) all have critical capabilities which have delivered value for years without the help of AI. 

But AI doesn’t work as well on its own: it’s more successful when used to enhance tech-driven processes that already exist. So when it’s seamlessly embedded into existing workflows, you’ll have less to worry about when it comes to training, adoption, and managing multiple platforms.

Example
An AI tool which extracts and auto-populates data from contracts, documents or invoices as you upload them as part of your daily work eliminates manual data entry – without you having to adjust your workflows or acquire any special skills.

3. Specialist workflows deserve specialist tech.

Technology which is designed around a deep understanding of the needs and liabilities of in-house legal teams will always deliver more specialized features, better security, and stronger outcomes. 

Dedicated legal AI tools are also more likely to evolve in tandem with your needs, because vendors will be developing them in response to feedback from in-house legal teams.

Example
Asking a generic tool like ChatGPT to help you figure out a status update on a contract or matter isn’t likely to be successful – without risking proprietary data, it’s difficult to enter prompts which give enough context or refinement to generate the answer you need.

 On the other hand, an AI search tool which comes as part of a legal tech solution will be trained to handle this type of prompt. As users give feedback on the experience, the prompts and results are likely to get even better with time.

The takeaway – as you go to market for AI, you shouldn’t settle for less than a tool which is seamlessly embedded into a wider legal tech solution specifically designed for legal teams. The next step is to identify a product which fits the bill.

Identifying your legal AI product 

As you start window shopping for your AI solution, the marketplace might feel overwhelming. The landscape is a saturated one – and the variety and volume of products on offer is proliferating fast. 

However, you now have a clear idea of the work that you want AI to help you with – and you know you’re looking for a secure, built-in AI solution developed specifically for legal teams. The good news is that there are many established products out there that meet the brief.

This table shows some of the most common categories of legal technology products and the AI-powered capabilities they may offer. 

Note: There are many niche and speciality tools on the market designed to tackle narrow use cases or serve specific industries. These can be integrated into more comprehensive legal technology solutions or used as standalone products, but are outside the scope of this guide.

Legal technology product

E-billing and spend management

AI-driven capabilities and benefits
AI-assisted invoice review, billing guideline validation, and invoice data extraction reduce time-consuming manual activities and decrease the risk of errors.
ELM or integrated workspace? *
Yes
Legal technology product

Matter management

AI-driven capabilities and benefits
Automated data capture, workflow routing, conversational intake interfaces, and document management capabilities can be powered by AI to enhance productivity and data capture.
ELM or integrated workspace? *
Yes
Legal technology product

Document management

AI-driven capabilities and benefits
Document search and retrieval, automatic tagging, and automated document summarization and comparison save time and enhance compliance.
ELM or integrated workspace? *
Yes
Legal technology product

Legal front door, intake and self-service

AI-driven capabilities and benefits
Intelligent triage and routing, as well as chatbots in interactive knowledge portals, empower self-service, saving time and boosting compliance.
ELM or integrated workspace? *
Yes
Legal technology product

Contract Management (CLM)

AI-driven capabilities and benefits
Capabilities across the contract lifecycle, such as automating contract creation and redlining, speeding up review, and supporting advanced search introduce efficiencies and surface insights.
ELM or integrated workspace? *
Yes
Legal technology product

Legal research

AI-driven capabilities and benefits
Natural language and semantic search, case law and document analysis, citation management and research recommendations increase efficiency and enhance insights and analysis.
ELM or integrated workspace? *
No
Legal technology product

E-Discovery

AI-driven capabilities and benefits
File classification, search and retrieval, data analytics, and automated redaction and anonymization save time and resources while reducing operating costs.
ELM or integrated workspace? *
No

*ELM or integrated workspace
Platforms which combine multiple technology solution capabilities in one system. These may include the AI features and their benefits from the technologies within a specific module, and/or applied across a unified data set.

Pro Tip - THE LEGAL WORKSPACE
You’ll notice that, in respect of the first five product categories, a “bonus” option is to invest in a consolidated solution, such as a legal workspace

These products are the ideal foundation for a secure and scalable approach to AI – not only because they make it easy to start with specific use cases and scale up into multiple workflows, but because their AI capabilities deliver exponentially greater benefits as you do so.

Once you’ve decided which AI-powered legal technology product is right for you and your team, it’s time to find the vendor to make it happen!

If you’re already using legal technology in some capacity, a sensible first step is to speak with your existing vendor to see if they can meet your new specifications.

And if not – it’s time to go to market.

Evaluating legal AI vendors - a checklist

So, to recap: You know you’re looking for a secure, built-in AI solution which comes with technology specifically designed for legal teams – and you know which type of product is going to work for you. 

As you carry out your final evaluation, it's a good idea to follow a buying process that helps you move at pace while ensuring it’s the right fit. 

Your final evaluation should be a simple exercise in due diligence – you are simply assessing your shortlisted vendors against the “shopping list” of non-negotiables that you’ve identified along your adoption journey.

  • Does the vendor provide the core product you’re looking for to meet your technology goals, augmented by AI? (For example, a CLM, E-billing tool, or legal workspace)?
  • Do their AI capabilities come built-in to their main product?
  • Does the product leverage AI to both help you create a unified source of truth, and power your legal work?
  • Is the vendor a specialist legal technology provider whose product is designed specifically for the needs of in-house legal teams?
  • Does the product give you scope to scale up from a targeted initial investment into multiple AI use cases later on?
  • Is the product easy to use and adopt, with the implementation and customer support you need to get value out of it quickly?
  • How much “human effort” will be required (if any) to validate the outputs of the vendor’s AI models, and how do they continually improve them?
  • Does the vendor provide ongoing training, customer support and product development in response to customer feedback?
  • Has the vendor taken adequate measures to minimize the risk of AI hallucinations (for example, by leveraging RAG?)
  • Can they demonstrate adherence to non-negotiable privacy and security requirements? They should be able to provide the following information:
  • Confirmation that organizational and personal data will not be used to train public AI models
  • Details of how, when and where your organizational data will be gathered, stored, processed and shared
  • Proof of relevant security certifications (including ISO 27001)
  • Proof of compliance with relevant data protection requirements (including GDPR/ CCPA/ HIPAA)
Pro Tip
Checking the privacy and security box is a technical exercise – but a critical one. Be sure to engage IT at this stage to make sure everything is covered.

If a vendor can check off all these boxes, great news! The final step is to reach out to those who have made the final shortlist. 

This is the time to make sure you understand the products on offer, check reviews and ask questions before signing on the dotted line. If the vendor offers personal product demonstrations or walkthroughs, like we do at LawVu, even better! 

Once you’re happy with your choice, it’s time to start thinking about implementation. 

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