AI for in-house legal

Discover the benefits, use cases, and common pitfalls of AI for in-house legal teams.

What is AI for in-house legal?

Lawyers have long been perceived as hesitant toward change and wary of innovation. However, in the age of rapid technological advancement, it may be in in-house legal teams’ best interest to leave these stereotypes in the dust.

As identified in the 2023 In-house Legal Technology Report, finding efficiency and productivity gains is top of mind for many in-house legal teams and their businesses. Properly investing in and utilizing new technologies, such as Artificial Intelligence (AI) has the potential to revolutionize in-house legal operations. By utilizing AI, in-house legal teams can streamline repetitive tasks, improve accuracy, and spend more time playing an influential role in business outcomes.

Read on for an overview of AI, a detailed description of how it can benefit in-house legal processes, common pitfalls to watch out for, and to discover how AI works in a legal workspace.

It's time to move on AI

Introducing "AI for In-house Legal - a practical guide to adoption". Your four step guide to preparing for, choosing and implementing the best AI tools for your in-house legal function.

What is Artificial Intelligence (AI)?

AI is a broad term used to describe technologies that enable machines to perform tasks that would normally require human intelligence. AI has been in development since the 1950s, but has very recently started to gain worldwide attention. The field of AI includes a wide range of technologies and applications, from virtual assistants like Siri and Alexa to generative AI services like ChatGPT. Even if you don’t realize it, you already use AI in your daily life, with predictive text, suggested responses in email, and workflow tools.

How does AI benefit in-house legal teams?

There is a lot of speculation around AI and in-house legal functions these days, with some dismissing the power and others concerned that robots will actually replace lawyers altogether. Regardless of your own beliefs, AI is already finding its way into legal departments and is taking the world by storm. Rather than condemning it, in-house lawyers should look for opportunities to bring AI into their everyday work to optimize efficiency and workflows.

Legal teams are constantly being asked to do more with less, and this is amplified in the face of economic downturn. In-house legal professionals can use new AI tools to help with the routine aspects of their workday, such as contract negotiation and management. In addition to saving resource and budget, AI grants time back for in-house legal teams to make the most of their skills and reduce the time they are currently wasting on repetitive and low-value administrative tasks.

AI can also help legal departments get better use out of their data. Data regarding workflow, capacity, and resource can help legal leaders get stakeholder buy-in for budget or external counsel. Using AI to collate data such as the complexity of matters that a legal department has worked through or how many risky clauses have been successfully escalated and de-risked helps legal teams get accurate data and make better decisions.

Ultimately, as technology advances and companies develop better ways to harness the power of AI, these tools will further enable legal departments to streamline their workflows and deliver excellent legal services quicker. Whether AI can be used to replace the advice and decision making of the legally trained is another question, but the manual administrative components of the in-house legal workflow are certainly ready to be AI optimized.

What are some examples of AI in legal technology?

Contracts and matters with AI

AI relies on accurate and rich data sets. By having one connected system for matter management and contract lifecycle management, such as a legal workspace, legal teams can easily leverage AI models that will cater to all of their legal work, rather than having disparate models in different systems. For example, teams that manage all their workflows in the same platform could conceivably use an AI model to leverage advice in an IP dispute to draft better contract clauses to protect against that going forward.

While connected workflow platforms provide great efficiency and productivity gains on their own, their power and time savings are amplified when partnered with AI.

Document review

Law firms have been using AI for years to help make the document management and review process more cost-effective. Until recently, low-value, e-discovery work has been a huge cost center for in-house legal teams and a huge money maker for law firms. In-house legal teams are able to litigate far more efficiently, cut costs, and bring more work in-house by utilizing document review AI features.

Contract review

In-house legal teams can leverage AI to improve contract review and contract management for reasons such as due diligence, reduced risk, and quicker turnaround times. New contract AI features mean that legal teams can quickly review material contracts and prepare reports for their portfolio, making it easy to accurately predict sales and revenue. In-house lawyers can also use contract analysis tools that utilize AI to review contracts more efficiently and present key findings from that review to stakeholders, saving both sides weeks or even months of wasted time trying to close a fundamentally flawed deal.

Automation

Legal automation presents an opportunity to remove the manual, repetitive tasks that are often taking up most of an in-house lawyer’s day. Using platforms with intake and triage capabilities can automate and streamline requests from the broader business, improving legal’s service delivery and allowing the business to self-serve. Beyond intake, automation can also tackle document execution, contract generation, and information requests. Automation fundamentally changes how in-house lawyers organize and manage their workload.

What to watch out for with AI -- common pitfalls

Like all good things, there are some things to watch out for when it comes to using AI. AI-powered products have to be trustworthy, secure, and easy to use and understand. This is especially true when using AI in a legal setting, where the inherent risks of AI or badly implemented AI can expose you to risk or end up wasting more time. Some limitations and risks when it comes to using AI include:

  • Accuracy: Everybody makes mistakes, including AI, therefore it’s imperative that you have a system in place to check the accuracy of your AI’s output. Utilizing a platform that has built a way for you to quickly and easily verify the logic that the machine has given you is important if you’re going to take AI information as fact.
  • Data security: AI systems rely on collecting and processing large amounts of personal data about yourself or your business. Especially when handling sensitive legal documents, it’s important to think twice before running your documents through AI and ensure that you’re familiar with the security policies of your machine.
  • Risk of misinformation and copyright infringement: Generative AI tools like ChatGPT get their information by scanning hundreds of websites across the internet. Trusting these outputs as truth can lead to misinformation and potential copyright infringement.
  • AI automation loops: Certain AI tools can increase risk or unnecessary back and forth between stakeholders. Redlining is a great example, with some tools being so heavy on redlining that they miss the commercial decisions or trade-offs an in-house lawyer may make.

Considerations when buying legal tech with AI

In order to see value from legal tech and AI, the features actually need to solve your problems. Therefore it’s important to do your research and find a solution that meets your team’s specific needs. Here are a few things you should consider:

  • Functionality: Find a platform that you will use in your daily work. For example, in-house legal teams looking to free up time should look for platforms that use AI to automate administrative tasks or help with contract review.
  • Usability: Choose a product with a user–friendly interface and design that your team can easily navigate and understand.
  • Integration: Consider how this technology can integrate with your current systems or tools used by the broader business.
  • Security: When looking for any legal technology it’s important to trust the security of the platform, but this importance is amplified with AI. Ensure that you are familiar with the security policies of your platform and how the data you share with AI will be used.

Just like any other product feature, AI should be used alongside a functional product that helps you create value. With the LawVu legal workspace, in-house legal teams can see value with contracts and matters managed together for ultimate visibility and take advantage of contract review, extraction, and other AI features that speed up turnaround times and allow legal teams to focus on more impactful work.

How does AI work in a legal workspace?

A legal workspace is a single source of truth for in-house legal workflow management. It offers one holistic view of the entire legal function’s workflow, including matters, contracts, documents and knowledge base, outsourced work, spend, and data and reporting. With 61% of in-house legal teams spending over one hour per day jumping between systems to gain a complete view of their work (Source: The 2023 In-house Legal Technology Report), a legal workspace offers a unique solution by providing a one-stop shop for workflow management.

The productivity and efficiency gains of a legal workspace are further amplified by harnessing the power of AI, automating manual admin tasks, and freeing time up for in-house lawyers to focus on more important tasks. Below are some ways AI is utilized in the LawVu legal workspace.

AI-powered contract import and review

Reduce time spent importing contracts to your legal workspace with AI-powered contract import and review.

This new integration with Zuva’s DocAI imports bulk legacy contracts four times faster than before, reducing the effort of manually collecting and extracting metadata so you can see contract value quicker than ever before.

AI-powered contract data extraction

Experience a faster path to your important data with AI-powered contract data extraction, an integration with Zuva’s DocAI that automatically analyzes and extracts key contract data whenever a contract is executed.

Help your team free up time to focus on verifying what the AI has found, rather than wasting time scrolling, copying, and retyping from the contract.

AI Assist

Take advantage of your new contracts buddy!

Optimize your contract repository with a beta conversational tool that reviews and summarizes key contract information. Use quick prompts to find out about parties involved, key dates, scope, work/services, payment terms, liabilities, and warranties, fast, so you can reduce the risk of misunderstanding and align all stakeholders.

Conclusion

Innovation and disruption are certainly important in technology, and there’s no telling how the power of AI will continue to develop. AI has the power to transform in-house legal team’s ways of working for the better, but lawyers still need to do their due diligence to ensure they aren’t risking inaccuracies, data breaches, or copyright infringement. Still, AI has the potential to offer invaluable efficiency gains to busy in-house legal teams, especially when utilized in a connected legal workspace.

Resources

Learn more about AI for in-house legal

For more education on how in-house legal teams can harness AI in their daily work, check out the following resources:

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