Legal Project Management

London
5 months ago
Applications closed

Related Jobs

View all jobs

Portfolio Executive

Lead Innovation Engineer

IT Training Manager

Data Scientist (KTP Associate)

Senior Manager Marketing Data & Insights Strategy

Junior Data Engineer

Legal Project Management, (FTC)
Location: London (hybrid)
Contract type: 12 month Fixed Term Contract
The Role
You will develop and use your commercial acumen, technical expertise and understanding of project management to support the team. You will deliver legal services to our clients and assist with project management tasks and support the LPMs. (We have different levels of LPM roles, salary based on experience).
Responsibilities
Legal project management

  • Support the Transactions Practice team in delivering structured legal project management on multi-jurisdictional and complex matters
  • Support the development, design and implementation of matter budgets, and the proactive monitoring of budgets against actual performance and lead on presenting findings to key stakeholders
  • Assisting with the planning, scoping and reporting for projects, including developing the project plan and project timeline
  • Communicating with other within the Practice Group and with clients, excellent drafting skills are necessary
  • Capture relevant LPM case studies for examples of best practice and preparing slide decks and tombstone data for including in pitches, debriefs and training activities
  • Co-ordinate regular calls and meetings, distribute instructions to local counsel, and respond to legal team queries on matters of transaction/project process
  • Support the LPMs in managing external service providers and local counsel teams, managing conflicts clearances, preparing draft instructions, supporting matter kick off, process design and other administrative activities
  • Draft pitch content for the LPMs for submission on client and panel pitches covering legal project management frameworks and principles, technology and process improvement
    Financial management and other reporting for supported matters
    Collaborating with data and technology experts within Digital Legal Delivery as required:
  • Supporting the Legal Project Managers with periodic reporting (status; financial; value; impact) and assisting with the gathering and clarification of inputs by engaging with the legal delivery teams
    Technology and other activities
  • Working on document automation or AI projects and providing interface between the transaction or matter team and other business services teams and functions
  • Engaging with collaboration software and tools to set up and brand virtual deal rooms, data sites and the 'HSF Client Portal’
  • Running periodic permission audit reports for multi-user collaboration sites to manage risk
  • Supporting the collation and development of LPM collateral, tools and templates and manage the resource repositories for the Digital Legal Delivery teams
    People responsibilities
  • Mentor more junior members of the team
    Skills / Qualifications
  • Organised and practical
  • Excellent time management
  • Excellent communication skills (verbal and written)
  • Empathy and situational awareness1-3 years of experience in a professional services environment (preferably in a law firm)
  • Strong technical skills (experience with PowerPoint, Excel and Word is necessary while experience with HighQ and SharePoint is desired)
    Desirable
  • Experience with a Financial Practice Management System (for example Aderant Expert or Elite)
  • Experience with PowerBI (or PowerAutomate tools)
  • Relevant undergraduate or post graduate degree qualificationUnderstanding of law firm economics
    #analystjobs, #lpmanalystjobs, #legalprojectmanagementanalystjobs, #legalprojectmanagerjobs, #lpmjobs
    About Brimstone Consulting: We specialise in finding highly qualified staff in the following areas: Forensic Accounting & Fraud - (AML/CTF, Investigation, CFE’s etc.); Legal and LegalTech (E-Discovery, Digital Forensics, EDRM); Big Data and Data Analytics- (MI/BI/CI); InfoSec and Cyber Crime; Audit; Accountancy and Finance; FinTech (Payments etc.); Risk - (Credit, Regulatory, Liquidity, Market, Analysts-SAS, SPSS etc.); Compliance/Corporate Governance; IT- (full SDLC- BA’s PM’s , Architects, Developers etc.);
    Brimstone Consulting acts as an employment agency (permanent) and as an employment business (temporary) - a free and confidential service to candidates. Brimstone Consulting is an equal opportunities employer. Due to time constraints we can only reply to applicants that match our clients’ specifications. We may store applications in our cloud storage facilities that may include dropbox.
    *end

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

Careers

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

Careers

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.