Legal Tech

Expert Analysis

• Series

  The Future Of Legal Ops: Time To Get Serious About Data

  Most corporate legal departments collect surface-level data around their operations, such as costs and time to resolution, but legal leaders should explore more in-depth data gathering to assess how effective an attorney was, how efficiently legal work was performed, and more, says Andy Krebs at Intel.

• Why You Should Leverage AI For Privilege Review

  While many lawyers still believe that a manual, document-by-document review is the best approach to privilege logging, certain artificial intelligence tools can bolster the traditional review process and make this aspect of electronic document review more efficient, more accurate and less costly, say Laura Riff and Michelle Six at Kirkland.

• Tips For Evaluating Machine Learning For Contracts Review

  Law firms considering machine learning and natural language processing to aid in contract reviews should keep several best practices in mind when procuring and deploying this nascent technology, starting with identifying their organization's needs and key requirements, says Ned Gannon at eBrevia.

• Collaborative Tech Will Dictate Future Law Firm Success

  Law firms need to shift their focus from solving the needs of their lawyers with siloed solutions to implementing collaboration technology, thereby enabling more seamless workflows and team experiences amid widespread embrace of hybrid and remote work models, says Kate Jasaitis at HBR Consulting.

• How Dynamic Project Management Can Help Law Firms

  Law firms looking to streamline matter management should consider tools that offer both employees and clients real-time access to documents, action items, task assignee information and more, overcoming many of the limitations of project communications via email, says Stephen Weyer at Stites & Harbison.

• How Firms Can Benefit From Creating Their Own ALSPs

  As more law firms develop their own legal services centers to serve as both a source of flexible personnel and technological innovation, they can further enhance the effectiveness by fostering a consistent and cohesive team and allowing for experimentation with new technologies from an established baseline, say attorneys at Hogan Lovells.

• Keys To Digitizing Inefficient Contract Management Processes

  Neville Eisenberg and Mark Grayson at BCLP explain how they sped up contract execution for one client by replacing email with a centralized, digital tool for negotiations and review, and how the principles they adhered to can be helpful for other law firms looking to improve poorly managed contract management processes.

• Law Firm Tips For Evaluating AI And Machine Learning Tools

  Many legal technology vendors now sell artificial intelligence and machine learning tools at a premium price tag, but law firms must take the time to properly evaluate them as not all offerings generate process efficiencies or even use the technologies advertised, says Steven Magnuson at Ballard Spahr.

• Learning How To Code Can Unleash New Potential In Lawyers

  Every lawyer can begin incorporating aspects of software development in their day-to-day practice with little to no changes in their existing tools or workflow, and legal organizations that take steps to encourage this exploration of programming can transform into tech incubators, says George Zalepa at Greenberg Traurig.

• The Importance Of Client Engagement In Law Firm Innovation

  As clients increasingly want law firms to serve as innovation platforms, firms must understand that there is no one-size-fits-all approach — the key is a nimble innovation function focused on listening and knowledge sharing, says Mark Brennan at Hogan Lovells.

• A Scientific Path For Improving Diversity At Law Firms

  Law firms could combine industrial organizational psychology and machine learning to study prospective hires' analytical thinking, stress response and similar attributes — which could lead to recruiting from a more diverse candidate pool, say Ali Shahidi and Bess Sully at Sheppard Mullin.