Associate, Legal Knowledge Engineering

Remote friendly (Canada Canada)

Job Description

Are you a talented, experienced lawyer looking to use the knowledge you've gained in your field in a new way? Do you love the intellectual challenge of understanding complicated agreements, but feel like you are ready to take your career in a new direction and have more control over your time? Do you want to contribute to a product in a meaningful way to improve the lives of lawyers? Do you feel the buzz of AI and generative AI and want to get involved?

Litera is looking for a lawyer to help build our legal products. Who better to know how to influence the direction of our legal products than a lawyer. As part of this, you will also get to experiment with generative AI technology. In addition, Litera needs a lawyer to help work with our engineering teams to advise on legal workflows. In this role, you will have the opportunity to be part of a cutting edge industry and a company that is making a tremendous impact in your field. You will help us build positive experiences for our clients, which include some of the world’s best law firms, professional service firms, and corporations. This is an environment where your contribution and expertise will be supported, acknowledged, and rewarded.

Your day-to-day

As a Legal Knowledge Engineering Associate, you will be responsible for working on one or more of our legal software products. As part of this, you will be our legal tech products to find the information our clients seek in their documents. You will be experimenting with prompting an LLM from within our Dragon product and/or teaching our product, Kira, by highlighting information in diverse sets of documents. Kira studies the examples, uses machine learning algorithms to figure out patterns, and then finds similar information in new documents. In addition, you will be working with our product/engineering/design teams to help ensure that new features are defined and brought to completion with proper legal workflows in mind.

What You'll Be Doing

  • Working with our product/engineering/design teams to help set the vision for new legal tech products and features within Kira and the rest of Litera.

  • Experimenting and testing Generative AI to ensure our products are built the best they can be.

  • Creating prompts to allow for the accurate extraction of information from a document set.

  • Develop new β€œsmart fields” (machine learning algorithms that can find information) and data points for documents relating to securities and/or financing transactions.

  • Maintain a thorough understanding of developments in your legal domain, and continuously identify new opportunities to build smart fields.

  • Identify opportunities to improve processes, gain efficiencies, and share best practices.

What You Bring

  • You have two or more years practicing in transactional law, ideally gained at a law firm, in house, or at a legal service provider.

  • Experience working in debt financing is an asset

  • Have a JD and have been called to the bar in at least one state/province.

  • Experience with legal operations, legal program management, and/or contract management systems is an asset.

  • Strong Interest in legal technology and artificial intelligence.

  • You have strong client service skills and excellent written and verbal communication skills.

  • You have the ability to learn new technologies quickly and are not intimidated by trying something new.

  • You have extraordinary attention to detail and are highly organized.

  • You are relentless and a creative problem solver, and your analytical skills are exceptional.

  • You have strong time management skills and can successfully juggle multiple priorities.

  • You are highly responsible, self-motivated and able to work with minimal supervision.

  • You empathize with people. Your first instinct when asked for something is to try to find a way to say yes.

Litera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.