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Open nowFirst seen 3 days ago

Legal Technologist

Digital Data Foundation90 open roles

Where
Bristol, England, United Kingdom, Remote
Work mode
Remote
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Your applicationOpen nowLegal TechnologistDigital Data Foundation · Bristol, England, United Kingdom, Remote

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Share of postings closed within
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  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

The posting

Legal Technologist

£Excellent Salary + Benefits

Hybrid Working - Bristol / London / Remote - UK

James Carrera of Digital Data Foundation is sourcing a Legal Technologist to join an expanding team to deliver cutting edge solutions to clients, in line with the firms ambitious growth strategy.

Responsibilities

Support the firm’s ability to deliver ever evolving innovation projects and initiatives.

  • Working with a variety of legal tech tools from DocAuto through to AI
  • Provide consultancy advice to design and implement solutions
  • Support workshops to understand of existing processes in order to advise and assist with the implementation of legal tech solutions.
  • Keeping up to date on new products and conducting pilot projects
  • Promoting and presenting innovative technology, producing engaging content to promote legal tech solutions

Experience

A STEM graduate with a genuine interest in innovation and technology, you will either have at least 1year Legal Technology experience or, strong technology experience and looking for a career change;

  • Excellent communication and presentation skills with a professional approach to build relationships and clearly articulate and explain legal technology solutions and benefits in non-technical terms.
  • Good knowledge of how legal work is delivered and the use of technology, preferably some previous legal technology/engineer experience.

Desirable

Knowledge of technology tools; document automation, machine learning/AI, no code or low code platforms, HighQ, Contract Express, Luminance.

For a confidential discussion contact

James Carrera at Digital Data Foundation

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