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May

Use case demo: How to build an LOI Generator | Virtual (Zoom)

Sign up for our live use case demo to learn how to build a functioning LOI Generator — in under 30 minutes.

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Legal Operations

Legal operations have emerged as a modern and scalable concept in leveraging modern service delivery. We support in Legal Ops strategies both through technology and business services.

How to improve legal operations with BRYTER

Over the past few years, in-house legal teams have come under increasing pressure to support the business’s operations whilst minimising overhead spend and the time taken to conduct their work. This has increasingly led GCs to consider how their legal teams operate and create ‘service delivery’ plans and processes to maximise the value that a legal team can add to a business. Many larger legal departments now have dedicated legal operations employees to oversee this work and manage both implementing technology products and internal projects.

What are the objectives/KPIs for effective legal operations?

The biggest KPI for any in-house legal team is measuring the quantity of work both coming in and being completed by the legal team. This allows GCs to identify any bottlenecks which could be impacting the wider business and identify opportunities to either find more efficient ways of working or increase resource. Quality based metrics (such as the value of completed contracts or the number of successful litigations) also help measure the current effectiveness of processes and can identify areas for the team to focus on.

Legal operations personnel should seek to use and monitor such data to deliver measurable improvements and ensure transparency across the business. Structured data that accurately records all of the work being done by the legal team is essential to being able to start delivering improved legal operations.

How BRYTER helps to improve legal operations

1. Obtaining structured data through ‘Intake Tools’

BRYTER allows in-house legal teams to start automating their processes and create structured data.

One way to both deliver immediate time savings and collect meaningful data is to build a ‘Legal Intake Management Tool’ on BRYTER (also known as a ‘Legal Front Door’). This module can be integrated onto a company’s intranet, MS SharePoint or MS Teams instances and act as the point of entry for anyone in the business with a legal query. The module can then use BRYTER’s logic to guide the user to the correct self-service app/chatbot for their query.

2. Scaling legal services through self-service apps and chatbots

A structured intake allows to identify the most common requests coming into the legal team and work to further automate these self-service apps and chatbots. This allows making knowledge more accessible in an organisation without losing control.

👉 Example: Self-service tools for business NDAs

This tool enables businesses to create NDAs on a ‘self-service’ basis but also to intake and process 3rd party NDAs in structured and automated way.

👉 Example: Chatbots for data breach reporting

This chatbot supports businesses to process and document (audit-trail) data breaches and to give guidance on possible remedies and next steps.

👉 Example: Self-service tools for contractors / freelancers

This tool enables HR departments to assess under which terms and circumstances contractors/freelancers might be utilized to avoid problems with ‘disguised employment’.

Any such self-service tools deliver immediate benefits to the legal operations of the team, both helping drive quantity and qualitative metrics and to a documented ‘source of truth’.

3. Measuring legal operations efficiency and continuously improving

Intake and self-service applications allow businesses to measure and improve. As applications built on BRYTER allow for seamless tracking of usage, a legal team can underpin their operations with structured data. It is possible to document data and to later revisit it. This has several advantages:

  • Measuring time savings
  • Identifying bottlenecks
  • Documenting processes and decisions
  • Revisiting data and decision
  • Visualizing structured data