Casepoint Hires New Chief Product Officer

Pete Feinberg's arrival at Casepoint follows his tenure as Chief Product Officer at Consilio, a major player in eDiscovery and legal consulting services. At Consilio, he was responsible for the product strategy across a wide array of legal technology solutions, including leading the Self-Service Business Unit. His experience there involved driving the development of platforms like Sightline 7.0, which focused on creating more streamlined and powerful self-service eDiscovery for legal professionals. This appointment comes on the heels of a significant strategic move for Casepoint. In January 2025, the company merged with OPEXUS, a specialist in government process management software, in a deal backed by a majority investment from private equity firm Thoma Bravo. This merger created a more comprehensive platform aimed at serving both government and commercial clients with complex workflow, compliance, and data discovery needs. The newly formed entity combines OPEXUS's strength in managing processes for over 200 public institutions, including workflows for Freedom of Information Act (FOIA) requests and investigations, with Casepoint's AI-powered eDiscovery and compliance platform. The joint company is led by OPEXUS CEO Howard Langsam, with Casepoint's founder Vishal Rajpara also on the executive team. This positions the firm to tackle increasingly complex data challenges for government agencies and regulated industries. Feinberg's deep experience in building AI-assisted workflows for enterprise and government use is critical as the legal tech industry rapidly adopts AI. Legal teams are moving beyond experimental AI to expecting it to be embedded in their daily workflows for tasks like document review, drafting, and compliance monitoring. The focus is shifting towards practical, transparent, and auditable AI that can handle the massive volumes of complex data in litigation and investigations. The broader legal tech landscape is seeing a push for more integrated and specialized AI solutions over generic models. As data sources become more diverse—spanning chat, video, and other collaboration tools—the challenge of eDiscovery evolves, requiring more sophisticated AI to manage and make sense of the information. Governance and compliance around the use of AI are also becoming paramount, with a growing demand for systems that have clear audit trails and allow for human oversight.