Metrics, Tech and AI

We believe that a law firm must be designed at every step for efficiency, early resolution, responsiveness and value. We continually invest in established cloud-based technology tools to achieve these goals. These include using artificial intelligence for due diligence and research, computerized eDiscovery, predictive technology and analytics software. We utilize technology for simplification, efficiency and automation. We have created workflows that ensure the right person for the job gets the information as quickly as possible. We leverage technology to provide clients 24-7-365 access to case information, reporting, and documents. All of these tools are combined with feedback mechanisms for continuous process refinement to always improve client services, matter handling, reduce litigation cycle time, and create greater cost certainty for our clients. We then make data available for reporting, analysis and continuous betterment. We believe that if we deliver efficient legal services, then our clients will ask us to solve more challenges. Our goals in this vein include: (1) decreased litigation cycle time; (2) eliminating duplicative effort; (3) ending unproductive hours looking for samples or drafting from scratch; (4) increasing timely communication and results; (5) cost savings and predictability; (6) increased access to case status and performance metrics; and (7) providing our lawyers the tools to reduce the time it takes to perform a task.

We view technology as difference-maker in client service on multiple platforms:


Lawyers have a role to ensure contracts are not hiding obligations, other liabilities or legal exposures. In addition, legal teams must also keep up to date with the ever-changing compliance rules globally. When a major event occurs, the faster someone can access key documents, and analyze them, the greater the likelihood of a successful result. We continue to develop and implement Artificial Intelligence (AI) to act as a human-like legal-issue-spotter providing relevant information on document analysis. The goal is to empower lawyers to focus their review on the relevant segments of each contract, saving countless hours.

Practicing law requires a lot of research. Lawyers spend their early years in the profession learning how to conduct precise, accurate research that wins cases and positions them as authorities in their field. We are employing and building AI that can respond to legal questions in plain English.


Parties engaged in litigation are legally obliged to find and exchange all relevant documents prior to trial. Electronic discovery often accounts for a significant percentage cost of any legal action or lawsuit. We deploy tools that simplify document management, making collection, analysis and production of responsive documents easier and more efficient. We utilize software and vendors that are able to: (1) perform remote collections of data; (2) use cloud-based tools to issue litigation holds; (3) use machine learning to identify relevant electronically stored information for early case assessment, relevant document search, key word search and intuitive identification of issues and key documents; (4) employ vetted contract data review teams; and (5) track every stage of eDiscovery projects through cloud-based project management tools and work-flows – all designed to cut down on review time and costs.


Predictive technology analyzes accumulated data and gives insights into future results – driven by machine wisdom and knowledge. We believe legal analytics can be harnessed to aid predicting legal outcomes. While there is never an assurance of any result, nor can we guarantee one, technology can aid forecasting a judge’s holding; analyzing expense and indemnity reserves; quantifying financial outcomes in litigation; or suggesting an expert for possible retention based on the facts of a case.

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