As the legal industry grapples with the applications and limitations of generative AI, Australian legal automation platform Josef has announced its latest innovation: the Rapid Ingestion Engine. Designed to tackle the upstream challenges of converting unstructured business inputs into structured legal workflows, this tool is positioning AI at the less contentious, yet critical, phase of legal work.
According to Josef CEO and co-founder Tom Dreyfus, many legal teams err in applying AI towards drafting legal documents. This approach often triggers concerns regarding reliability and control. Instead, Josef’s new engine deals with the onslaught of unrefined data at the inception of legal tasks, reorganizing it into actionable, structured templates prepared and approved by legal teams. “The right place is ingestion,” asserts Dreyfus. “AI should read the mess that arrives before the template runs. The output should remain deterministic, controlled, and reliable.” Such an approach contrasts with the popular narrative of employing AI for drafting or reviewing contracts, seeking instead to address a pivotal pain point: the legal intake process.
The Rapid Ingestion Engine is designed to accept unstructured inputs ranging from email threads to meeting notes, mapping essential commercial terms into structured fields. It highlights any missing information and prompts the user for these specifics, routing approvals based on logic predefined by the legal team. The tool then automates document generation using templates vetted by the legal department, ensuring compliance with legal standards.
For instance, when a marketing team concludes a sponsorship arrangement over email, it traditionally forwards this lengthy conversation to the queue of legal processes or fills out cumbersome intake forms. Josef’s tool allows the marketing team to simply upload the email thread. The software efficiently extracts required data, flags gaps, and upon user confirmation, generates a compliant agreement as per legal templates. Highlighting the approach’s transparency and consistency, outputs remain based on deterministic data rather than open-ended AI generation.
Founded in 2017, Josef has evolved from a no-code platform for legal automation tools into a pioneer in AI applications with the introduction of Josef Q, a self-service Q&A tool developed in collaboration with OpenAI. The Rapid Ingestion Engine adds another layer to Josef’s capabilities by expanding AI use from knowledge management to the intake stage of legal workflows.
Josef’s journey has been buoyed by significant investment, securing at least $7 million from various investors, including OIF Ventures, Carthona Capital, and The LegalTech Fund. The company’s client list boasts prominent law firms such as Orrick and Clifford Chance, alongside in-house legal teams at enterprises including Bupa and L’Oréal. As legal teams evaluate generative AI’s place in their operations, Josef presents a practical application by refining intake processes while preserving the meticulousness required in document generation. For further details, the official announcement can be found here.